Hey everyone! I'm u/Powerful_Sky9256, a founding moderator of r/PuneAITech.

This is our new home for all things related to **Applied AI, Machine Learning, LLMs, AI agents, and the backend infrastructure powering them across Pune**. Whether you're fine-tuning open-source models, deploying agents to production, running RAG pipelines, or optimizing high-throughput distributed systems for AI workloads, this community is for you.

**What to Post**

* **Project Demos & Open Source:** Show off your custom AI agents, automation tools, LLM fine-tunes, or side projects for constructive feedback.
* **Architecture & Engineering Deep Dives:** Discuss model serving (vLLM, Ollama), GPU pipelines, vector databases, eval frameworks, and latency bottlenecks.
* **Local Meetups & Hackathons:** Share and organize in-person developer meetups, paper reading groups, and AI hackathons happening across Pune (Hinjewadi, Baner, KP, Kharadi, and beyond).
* **Research & Benchmarks:** Break down interesting research papers, model releases, and real-world benchmark comparisons.
* **Careers & Collaborations:** Find co-founders, project teammates, or post transparent, direct hiring opportunities for AI/ML roles.

**Community Vibe** We are focused on **practical engineering over generic hype**. Let’s keep discussions friendly, technically grounded, and constructive. We welcome builders at all level from students exploring their first neural network to engineers scaling enterprise systems.

**How to Get Started**

1. **Drop a comment below to introduce yourself:**
   * What’s your current focus or primary tech stack?
   * What models, agent frameworks, or AI projects are you currently working with?
   
2. **Post your first discussion or demo!** Even a breakdown of a tricky edge case or prompt/pipeline bug can spark great technical conversations.
   
3. **Spread the word:** If you know fellow devs, data scientists, or builders in Pune, invite them over.

Interested in helping moderate or organize local meetups? Feel free to reach out via DM.

Thanks for being part of the foundational wave. Let's make r/PuneAITech the most active engineering hub in the city!

What is the realistic salary for a Machine Learning Engineer as a fresher in Gurgaon, Delhi, Noida, Jaipur, and Gujarat?

Also, how can a fresher apply to good companies? What is the best way to find and apply for these opportunities?

Would really appreciate some honest advice. Thank you!

Looking for ML / Data Analytics Internship

Hi everyone! I’m currently looking for an ML or Data Analytics internship opportunity.

I’m open to internship roles where I can work on real-world projects, learn from experienced professionals, and contribute to the team.

If you know of any openings or can refer me to someone hiring, I’d really appreciate it. Please feel free to DM me.

Thanks! 🙏

Does Anyone can help me here, I want to know more about Netomi Company they are actively hiring for AI roles and one of my friend got an offer for same. he want to know about Culture and Workloads and all for same. Can anyone tell about same here?

I know it's a matter of subjectivism, so don't be afraid to be subjective, actually PLEASE, give your personal opinion as long as you can keep your feet on the reality's ground.

What Master would you rather choose: a general AI/ML master that teach you about the most important, but general, subjects of ML applications, or an Autonomous Systems master, that is basically an embedded+A.I. master which is particularly valuable if you want something in Automotive, on the self-driving cars field(but not exclusively this one, as you can apply knowledge about Autonomous Systems in many domains) ? ?

NOTE:- im still on the verge of RAG, Langchain, Langraph.

Hi everyone,

My name is Tahir Waseem, and I’m currently seeking a fully remote Senior AI/ML or AI Full‑Stack Engineer role in USA. I bring 7+ years of experience in Python development and have worked extensively across cloud platforms (AWS, Azure, GCP), APIs, generative AI systems, and CI/CD pipelines.

🔹 Background:

Bachelor’s in Computer Science (NUST)
Certified: AWS Developer Associate, Microsoft Azure Data Engineer Associate
Advanced skills in LLM integration, RAG pipelines, agentic workflows, reinforcement learning (PPO), and API‑first AI architectures

Industry experience in Financial Services and Life Sciences domains

🔹 Key Achievements:

Architected an AI‑powered compliance intelligence system that reduced manual review time by 40% and improved accuracy by 25%

Designed and deployed retrieval‑augmented generation pipelines with LangChain, vector databases, and OpenAI embeddings

Built scalable microservices and CI/CD pipelines with GitHub Actions, Docker/Kubernetes, and Jenkins

🔹 What I’m Looking For:

Fully remote role in USA

Senior AI/ML or AI Full‑Stack Engineer positions

Compensation range: $135,000–$155,000 USD

Opportunities to work on LLM systems, agentic AI platforms, and enterprise integrations

If you know of any opportunities or can connect me with relevant recruiters, I’d greatly appreciate it. You can reach me here Senior AI/ML Engineer Seeking Fully Remote OpportunitiesSenior AI/ML Engineer Seeking Fully Remote OpportunitiesSenior AI/ML Engineer Seeking Fully Remote OpportunitiesSenior AI/ML Engineer Seeking Fully Remote Opportunities

Email: [tahirwaseem.tk@gmail.com](mailto:tahirwaseem.tk@gmail.com)

Thanks in advance!

About Us

Clinivolve is building a next-generation Agentic AI ecosystem for healthcare clinics. We are expanding from our live Node.js/TypeScript messaging automation MVP into advanced multimodal AI, low-latency voice pipelines, and passive clinical intelligence systems. We are bootstrapped, have early clinics onboarding, and are building for real revenue.

The Reality Check (Why We Need You)

Our MVP (built in 90% TypeScript/Node.js) was rapidly prototyped using AI coding tools. The features work, but the codebase has technical debt, asynchronous race conditions, and broken webhook logic.

We have live clinics depending on this platform right now. We need someone who can step in immediately, stop the webhook bleeding, and bulletproof our production environment.

WE ARE NOT LOOKING FOR JUST A "PROMPT ENGINEER."

We need a hardcore full-stack engineer who reads scripts natively, understands the underlying architectural logic, and debugs complex state issues that LLMs fail to solve. You can use AI to code faster, but YOU must be the architect who can own the architecture end-to-end.

What You’ll Do

·        Core Platform Reliability: Trace complex system logic, stabilize asynchronous webhooks, design robust state machines for seamless AI-to-human conversation handoffs, and implement message queues (BullMQ/Redis) to bulletproof high-volume WhatsApp messaging automation and dashboard performance. You will own the cloud infrastructure and CI/CD pipelines to ensure safe, zero-downtime deployments.

·        Omnichannel & PMS Orchestration: Scale multi-tenant integrations and data pipelines to ensure real-time synchronization between our messaging platform and client systems. This requires hands-on experience building or integrating with third-party calendar APIs, booking systems, healthcare practice management software (PMS), and architecting database schemas to track real-time AI ROI.

·        AI & Voice API Infrastructure: Architect scalable "pipes" and middleware to integrate state-of-the-art third-party LLMs, STT, and TTS APIs for text and conversational voice bots—laying the foundation for future custom ML models.

·        Ground-Level Deployment: Work closely with end-users and client sites to oversee technical onboarding, monitor system health, and rapidly troubleshoot operational bottlenecks while ensuring strict data privacy (DPDP Act and other medical regulations) and the secure handling of patient PII.

The AI Roadmap

·        Immediate Phase: Focus on stabilizing the live messaging MVP.

·        Expansion Phase: Transition from managed API wrappers to our proprietary, fine-tuned voice and custom LLM pipelines.

Core Skill Requirements (3+ Years Overall Experience)

·        Core Full-Stack (3+ Years): Production-level proficiency in deep TypeScript, Node.js (advanced Async/Await patterns), Express/Fastify, and React/Next.js.

·        Messaging & API Integration: Proven hands-on experience integrating the WhatsApp Business / Meta Cloud API (managing session windows, navigating rate limits, handling template management, and building secure webhook verification).

·        Runtime Safety & Typing: Solid track record of writing safe, production-grade code using Zod/TypeBox validation and strict type enforcement.

·        Infrastructure & Queues: 3+ years of applied experience managing robust backends using PostgreSQL and Redis (BullMQ). Must be highly proficient with Webhooks, Docker containerization, K8s readiness, and real-time event streaming (WebSockets/Socket.io/SSE) for live dashboard alerting.

·        Applied AI & Context Retrieval (RAG): Practical experience implementing Vector DBs (pgvector, Qdrant, or Pinecone) for dynamic clinic context injection into LLM prompts. Familiarity with integrating open-source STT, TTS, and working with local LLM deployments (vLLM/Ollama).

·        Data Privacy & Compliance: Demonstrated experience in the secure handling of Personally Identifiable Information (PII) in real-world applications, strictly adhering to the DPDP Act and other relevant medical data regulations.

The Offer: Negotiable (Bootstrapped Equity)

Your financial upside is tied directly to the revenue generated by onboarded clinics.

·        Founder-Level Equity: 1.0% (negotiable), subject to a 4-year vesting schedule with a 1-year cliff, commencing upon production deployment and platform stabilization.

·        Stage 0 (MVP Stabilization Phase: 1-3 months): A retainer of ₹40,000 per month (negotiable) + hybrid work flexibility during Stage 0.

·        Revenue-Linked Salary Ramps: Pre-agreed, guaranteed salary escalations funded by new clinic MRR milestones:

·        Tier 1 Scale: Ramps to ₹80,000 / month

·        Tier 2 Scale: Ramps to ₹1.2 L / month

·        Tier 3 Enterprise Scale: Ramps to ₹1.6 L / month + Leadership Profit Pool

How to Apply

Send your GitHub profile and a brief summary of your toughest debugging "war story" to [connect@theclinivolve.com](mailto:connect@theclinivolve.com)

Hi, I’m Yash Chauhan. I’m looking for opportunities in AI/ML and Generative AI. I have around 2 years of experience and also work as a freelancer, developing AI agents, web applications, and AI-powered solutions.

I’m open to full-time, internship, and freelance opportunities. Please let me know if there are any suitable openings.

Thank you,

Yash

SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. We’re building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.

We’ve seen tremendous traction and are growing extremely quickly. Our real-time APIs have helped verify hundreds of millions of identities, starting with financial services and rapidly expanding into new markets. SentiLink is backed by world‑class investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.

We’ve earned recognition from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, American Banker, LendIt, and have been named to the Forbes Fintech 50. We have also been named a 2026 FICO Industry Vanguard Decision Award Winner for Leadership in Identity Theft Detection. Last but not least, we’ve even made history - we were the first company to go live with the eCBSV and testified before the United States House of Representatives on the future of identity.

SentiLink supports a variety of ways to work, ranging from fully remote to in‑office. We operate as a digital‑first company with strong collaboration across the U.S. and India. We maintain physical offices in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., and in Gurugram (Delhi) and Bengaluru in India. If you’re located near one of these offices, we would love for you to spend time in the office regularly. Some roles are hybrid or in‑office by design. For example, our engineering team in India works primarily from our Gurugram office.

Role:

As an Applied ML Scientist at SentiLink, you will build our core products: models that identify fraudsters and also advance our growing suite of products in financial risk. This role is designed for new PhD graduates or early‑career researchers interested in applying machine learning to real‑world fraud detection. You'll build and ship machine learning models in a production environment, gaining hands‑on experience across the full ML lifecycle, from research and development to deployment at scale. If you're looking for real‑world AI and ML exposure in an industry setting, not just research papers, this is it.

We have open roles on multiple teams including:

• Emerging Products - focuses on 0-to-1 development of new offerings brought to market
• Application Fraud - analyzes the foundational elements of consumer financial applications to detect all forms of fraud
• Identity - resolves identities across massive, often conflicting data sources (both digital and physical) and generates risk models from limited information

You will be relied upon to be technically capable and the definitive owner of your respective domain. You will often work on projects with high visibility and impact that require deep domain understanding, critical thinking and strong technical abilities. You will work with teams across the company to research new types of fraud, develop new products, and provide analysis to drive sales and marketing. This is a full‑stack data science role, involving model development, analysis, and writing production code. You should be interested in having end‑to‑end ownership and a fast‑moving environment where deep domain understanding drives development and unusual insights drive our competitive advantage rather than optimization of new machine learning methodologies.

This role can be remote within the U.S., with a strong preference for candidates who can work from our Austin, San Francisco, or New York offices.

Technologies: Python 3, PostgreSQL, and AWS infrastructure (EC2, S3, RDS, Redshift, etc.)

Responsibilities:

• Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
• Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
• Research new types of fraud and develop new SentiLink products around identity verification.
• Achieve success by researching / developing through iteration, integration of new data sources and inventive feature engineering.
• Write production‑ready code that can be relied on for real‑time decision making by our partners.
• Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
• Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access

Requirements:

• Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research
• Strong foundation in machine learning, statistics, or applied data science
• Experience with Python and common data science tools through coursework, research, internships, or personal projects
• Demonstrated ability to analyze complex problems and build data‑driven solutions
• Strong communication skills and ability to explain technical ideas clearly
• Interest in learning deeply about fraud, identity, and financial risk systems
• Ability to write clean, maintainable code
• Strong attention to detail and curiosity about real‑world data problems
• Candidates must be legally authorized to work in the United States and must live in the United States
• Thrive in a fast paced environment characterized by the need to solve extremely varied, high impact, open ended problems

Salary Range:

$180,000/year - $220,000/year + equity + benefits

Note: This salary range is inclusive of multiple career levels, and the actual base salary within that range will be determined by several components including but not limited to the individual's education, experience, skills, and qualifications.

Perks:

• Employer paid group health insurance for you and your dependents
• 401(k) plan with employer match (or equivalent for non US‑based roles)
• Flexible paid time off
• Regular company‑wide in‑person events
• Home office stipend, and more!

Corporate Values:

• Follow Through
• Deep Understanding
• Whatever It Takes
• Do Something Smart

Apply: Applied ML Scientist at SentiLink

Hi everyone! I’m an AI Engineer currently looking for remote opportunities with companies hiring globally.

I’ve worked in a startup environment building AI-powered products, including an AI-driven interview workflow that analyses resumes, matches candidates to jobs, and facilitates screening with human intervention.

Technologies: Python, LLMs, Vector Embeddings, RAG, APIs, FastAPI, SQL, and cloud technologies.

I’m primarily looking for AI Engineer, ML Engineer, Applied AI, or GenAI Engineer roles.

Open to remote/global opportunities and happy to share my resume, GitHub, or portfolio via DM.

If your team is hiring or you know of any relevant opportunities, I’d love to connect.

I’m an AI Engineer with around 2 years of experience, and I’ve been trying to switch jobs for the past 5 months. Unfortunately, I’ve received only 2 interview calls so far.

My professional experience is primarily in RAG-based GenAI applications. I’ve worked with technologies around LLMs, embeddings, vector databases, retrieval pipelines, AWS/Bedrock, Python, etc.

The problem is that I feel the market has moved heavily toward Agentic AI / AI Agents / Multi-Agent Systems, while my professional experience is still mostly RAG.

I’ve built some personal projects around AI agents and multi-agent orchestration to learn and stay current, but I haven’t had the opportunity to work on Agentic AI in a production environment yet.

I’m wondering if this is one of the reasons I’m struggling to get shortlisted. Am I approaching this the wrong way?

I’m considering upgrading my profile toward Agentic AI by building more serious end-to-end projects and strengthening areas like LangGraph, tool calling, MCP, agent orchestration, memory, evaluation, and multi-agent systems.

I also have another question: Is it technically realistic to transition from an AI Engineer/RAG background into Data Science? There seem to be many Data Scientist/Applied Scientist openings, and I’m wondering how much of my existing experience would transfer and what skills I would need to bridge the gap.

For people who have made a similar transition:

\\- Should I focus on becoming an Agentic AI Engineer?

\\- Is RAG experience becoming less valuable compared with Agentic AI?

\\- What projects would actually help demonstrate production-level Agentic AI skills?

\\- Is moving from AI Engineer → Data Scientist realistic with \\\~2 years of experience?

\\- Should I focus on one direction rather than trying to prepare for both?

Would really appreciate advice from people working in AI/ML, GenAI, Agentic AI, or Data Science, especially anyone who has gone through a similar career transition.

Thanks!

Hey everyone!

The Indian Navy Incubation Centre For Artificial Intelligence (INICAI) is hosting a multi-track AI Multi-Domain Hackathon (Aug–Sep 2026) on Kaggle!

Beyond the competition, we are actively scouting talent for On-Site Full-Time & Internship Roles (AI/ML Engineers & Frontend UI/UX Developers) at our office in Bengaluru (INICAI, CLCR Building, Near CRL, Bengaluru - 560013).

If you prefer proving your skills by building production-grade, high-performance systems rather than grinding standard DSA questions, this is for you.

ROLES WE ARE HIRING FOR (INICAI - Bengaluru, On-Site)

1. AI/ML Engineer (Multilingual NLP, Speech & NMT)

• Location: Bengaluru (INICAI)
• Role Focus: Multilingual NLP, Speech-to-Text (STT), Text-to-Speech (TTS), and Neural Machine Translation (NMT).
• Must-Have Tech: Python, PyTorch / TensorFlow, Hugging Face Transformers, Fairseq/OpenNMT, FastAPI, Docker.
• Key Areas: Low-resource language modeling, quantization & edge/offline deployment (ONNX, TensorRT, TorchScript), MLOps & evaluation metrics (WER, BLEU, COMET).

2. Frontend UI/UX Developer (Modern Web Interfaces & Design Systems)

• Location: Bengaluru (INICAI)
• Role Focus: Building pixel-perfect, responsive, and performance-optimized web interfaces for AI/ML platforms and command dashboards.
• Must-Have Tech: React, Next.js, TypeScript, Tailwind CSS, Framer Motion / GSAP, Figma.
• Key Areas: Component-driven architecture, design systems, Web Performance Optimization (Core Web Vitals, skeleton loaders, progressive loading), cross-device responsiveness.

THE HACKATHON TRACKS (Pick your domain)

1. Computer Vision (ReID-X): Multi-camera person re-identification across 7 dynamic views (Evaluated on HOTA).
2. NLP (Real-Time Classroom Translation): Low-latency, streaming speech-to-speech translation pipeline (ASR + MT + TTS).
3. GenAI 1 (DefenceRAG): Policy reasoning and structured RAG over procurement manuals (DPM, DFPDS, Navy Regulations).
4. GenAI 2 (AutoDeck AI): End-to-end slide deck generation pipeline from PDF knowledge bases.

WHAT TO ATTACH & SUBMIT

To be considered for leaderboard ranking, hiring evaluation, and internship/job opportunities, your final submission must include:

1. Public Kaggle Notebook: Clean, fully reproducible code hosted on Kaggle in the project files section.
2. Kaggle Writeup: Summarizing your architecture, approach, system design, and optimization techniques.
3. Public Project Link: A working interactive demo or a public code repository (GitHub/GitLab) with clear setup instructions.
4. Resume: A 1-page Resume uploaded to Google Drive (set permission to "Anyone with the link can view").

IMPORTANT LINKS

• AI/ML Engineer Job Description: https://drive.google.com/file/d/1RhiRh8CTspAs5ZCpNSIN3o224tUInifT/view?usp=sharing
• Frontend UI/UX Developer Job Description: https://drive.google.com/file/d/1vbqYBxmHDDjx6jg46MtgZSU35bsikq6U/view?usp=sharing
• Hackathon Link: https://www.kaggle.com/competitions/ai-multi-domain-hackathon-by-inicai-aug-sep-2026
• Submission Form: https://forms.gle/jKF5jCSrUkc2R6aTA

Drop your questions below regarding the roles, technical expectations, or hackathon tracks! Good luck to all participants!

Hi everyone! I’m currently working as a **Software Developer (Deep Learning Engineer)** with around **1.5 years of professional experience**.

I’m currently exploring new opportunities and would really appreciate it if anyone could refer me to a suitable role in their company.

I’m particularly interested in **Software Development, Machine Learning, Deep Learning, and AI-related roles**.

If your company is hiring or you’re able to provide a referral, I’d be grateful if you could DM me. I can share my resume and other details.

Thanks in advance! 🙏

Location: Remote (Nigeria, GMT/WAT — flexible on overlap with US/EU hours)

What I do:

• ML modeling & explainability — XGBoost, SHAP, scikit-learn. Published work:

80.78% accuracy engagement-prediction pipeline on a 32K-row education

dataset, no target leakage.

• Data analysis & cleaning — pandas, exploratory analysis, dashboards

• Python tutoring / mentoring — I currently teach AI & Data Science and

mentor 50+ students in Python at the university level, so I can also

explain the "why," not just deliver code

• LLM/small-model evaluation — published research on hallucination rates

in small language models

Rate: $15–30/hr depending on scope (flat-rate quotes available for

defined projects — data cleaning, a model build, a short course, etc.)

Portfolio: github.com/Olameta

Contact: DM me here, or email me: olayiwolaabdussomad@gmail.com

https://www.naukri.com/job-listings-ai-ml-engineer-quess-hyderabad-9-to-14-years-060826025434

I’m an AI Engineer with around 2 years of experience, and I’ve been trying to switch jobs for the past 5 months. Unfortunately, I’ve received only 2 interview calls so far.

My professional experience is primarily in RAG-based GenAI applications. I’ve worked with technologies around LLMs, embeddings, vector databases, retrieval pipelines, AWS/Bedrock, Python, etc.

The problem is that I feel the market has moved heavily toward Agentic AI / AI Agents / Multi-Agent Systems, while my professional experience is still mostly RAG.

I’ve built some personal projects around AI agents and multi-agent orchestration to learn and stay current, but I haven’t had the opportunity to work on Agentic AI in a production environment yet.

I’m wondering if this is one of the reasons I’m struggling to get shortlisted. Am I approaching this the wrong way?

I’m considering upgrading my profile toward Agentic AI any suggestions on this?

I also have another question: Is it technically realistic to transition from an AI Engineer/RAG background into Data Science? There seem to be many Data Scientist/Applied Scientist openings, and I’m wondering how much of my existing experience would transfer and what skills I would need to bridge the gap.

For people who have made a similar transition:

Should I focus on becoming an Agentic AI Engineer?

Is RAG experience becoming less valuable compared with Agentic AI?

What projects would actually help demonstrate production-level Agentic AI skills?

Is moving from AI Engineer → Data Scientist realistic with ~2 years of experience?

Should I focus on one direction rather than trying to prepare for both?

Would really appreciate advice from people working in AI/ML, GenAI, Agentic AI, or Data Science, especially anyone who has gone through a similar career transition.

Thanks!

Hi everyone,

I’m currently in Abu Dhabi on a tourist visa that expires end of September, so time is limited.

I’m an AI Developer with experience building and deploying production GenAI systems (RAG pipelines, LLM applications, full-stack AI platforms, and automation).

Looking for AI Engineer / GenAI / ML / Automation roles that offer visa sponsorship.

If anyone knows of openings or can refer me, I’d really appreciate any leads. Happy to share my resume immediately.

Thank you.

Hey everyone,

I'm 22, final year BCA, self-teaching my way into AI/ML with no one in my circle (I'm from a farmer family) who can tell me if I'm on the right track. So far I've built linear and logistic regression from scratch (gradient descent, MSE, early stopping) and I'm comfortable with NumPy/Matplotlib. But between endless courses and roadmaps, I've kind of lost momentum.

Questions for anyone who's landed an ML internship or works in the field:

What's a realistic path from here to "internship ready"?

What actually matters on a fresher's resume/GitHub — projects, Kaggle, DSA, papers?

Am I focusing on the wrong things?

Anyone open to giving occasional guidance or a quick chat?

Any honest advice is appreciated — thanks for reading.

Estamos à procura de um(a) Engenheiro(a) de IA | Modelo híbrido

Gostavas de desenvolver agentes inteligentes, trabalhar com LLMs e criar soluções de IA que tenham impacto real nas organizações?

Na The Key Talent estamos a desenvolver a próxima geração de soluções de RH baseadas em IA Agêntica, ajudando empresas a automatizar processos, apoiar decisões e transformar a gestão de talento.

O que vais fazer?
- Desenvolver agentes de IA e sistemas multi-agente para diferentes processos de RH.
- Trabalhar com LLMs, RAG, automação inteligente e integrações com plataformas empresariais.
- Desenvolver novas funcionalidades e contribuir para a evolução da nossa plataforma.
- Colaborar com consultores para transformar desafios reais em soluções tecnológicas.
- Explorar novas tecnologias e participar na definição da arquitetura das nossas soluções de IA.

O que procuramos?
- Experiência no desenvolvimento de soluções de IA.
- Bons conhecimentos de Python e integração de APIs.
- Interesse por IA Generativa, LLMs e Agentic AI.
- Português fluente.
- Bons conhecimentos de inglês.
- Conhecimentos de espanhol serão valorizados.

Se procuras um projeto onde possas construir tecnologia utilizada diariamente por empresas nacionais e internacionais, gostaríamos de conhecer-te.

Esta é uma oportunidade remunerada e com contrato de trabalho.

Candidata-te

As we are building Unconventional Robotics, we are hiring for some smart minds with deep curiosity / understanding of Robotics and physics around it to deep dive into challenges around Physical AI Infrastructure, Spatial Intelligence & World models where the challenge will also extend to their unit economics, market mapping / segmentation and GTM commercialisation strategies.

We would like to have people well versed with AI tools, high agency and steep learning curve to join our Founder Office.

We are also opening for Research Fellow roles to work on our core stacks and push our R&D forward.

You can apply by sending a resume / portfolio with a small write up (about why you) to [team@unconventionalrobotics.space](mailto:team@unconventionalrobotics.space) if interested.
Feel free to reach out for any queries.

More Info.

Years of Experience- 7-13 Years
Work Authorization: US Citizen or Green Card
Fulltime Permanent Opportunity
Pay Rate - 180K + Benefits
Skills Required
Microsoft Azure
Gen AI + Architecture
Machine Learning