AI Engineer
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Reach the decision-maker — $5About the role
**AI Engineer**
**Pune (Kharadi) \| Full\-Time \| Permanent \| Experience: 6\+ Years (3\+ Years in AI/ML) \| Build the AI Foundation of a Fast\-Growing Product Company**
At **301io**, we believe AI is not just a feature—it's the foundation of the products we build.
We are looking for an experienced **AI Engineer** who can own AI initiatives end\-to\-end, from selecting foundation models and designing agent architectures to deploying production\-grade AI systems used by real customers.
This is a unique opportunity to become a founding member of our AI practice, influence technical strategy, and build intelligent products from the ground up. The role combines AI Engineering, Full\-Stack Development, MLOps, Agentic AI, LLM Engineering, and Product Innovation.
**What You'll Do ?**
**AI Strategy \& Architecture**
* Define AI architecture, tooling, frameworks, and engineering standards. * Evaluate and integrate leading AI models including OpenAI, Anthropic, Gemini, and open\-source LLMs. * Design scalable AI systems that support experimentation and production deployment. * Drive model selection, performance optimization, and AI governance.
**AI Agents \& Agentic Workflows**
* Design, develop, and deploy production\-grade AI agents and multi\-agent systems. * Build intelligent workflows using LangChain, LangGraph, CrewAI, AutoGen, and related frameworks. * Implement advanced agentic patterns, tool usage, reasoning workflows, and orchestration systems. * Monitor and continuously improve agent performance in production.
**Retrieval\-Augmented Generation (RAG)**
* Build enterprise\-grade RAG pipelines and knowledge systems. * Work with vector databases including Pinecone, Weaviate, Qdrant, and pgvector. * Improve retrieval quality through evaluation frameworks, testing, and experimentation.
**AI Evaluation \& Reliability**
* Develop automated evaluation pipelines and regression testing systems. * Define AI quality metrics including accuracy, hallucination rate, latency, and task completion. * Build production safeguards and evaluation\-driven deployment workflows. * Implement monitoring and observability for AI systems.
**MLOps \& AI Infrastructure**
* Build scalable ML pipelines for training, deployment, and monitoring. * Deploy models using vLLM, Triton, BentoML, TGI, Ray Serve, and related serving frameworks. * Manage GPU workloads, Kubernetes orchestration, and cloud infrastructure. * Partner with DevOps teams on CI/CD, autoscaling, and cost optimization.
**Full\-Stack AI Product Development**
* Build APIs, backend services, and frontend integrations for AI\-powered products. * Deliver intelligent user experiences using modern frontend technologies. * Own AI features from model development through customer\-facing implementation.
**Required Skills**
**AI \& LLM Engineering**
✔ OpenAI, Anthropic, Google Gemini APIs
✔ LangChain, LangGraph, CrewAI
✔ Prompt Engineering \& Structured Outputs
✔ Agentic AI Systems
✔ RAG Architecture \& Vector Databases
✔ LLM Evaluation Frameworks
✔ AI Safety \& Guardrails
✔ Fine\-Tuning (LoRA, QLoRA, PEFT, RLHF, DPO)
**Software Engineering**
✔ Python
✔ REST APIs / GraphQL
✔ React.js or Modern Frontend Frameworks
✔ SQL \& NoSQL Databases
✔ Docker \& Kubernetes
✔ AWS / Azure / GCP
✔ CI/CD \& DevOps Practices
**Experience Requirements**
* 6\+ years of software engineering experience. * 3\+ years of hands\-on AI/ML production experience. * Proven experience building and deploying AI agents. * Track record of shipping AI products from concept to production. * Strong full\-stack engineering background.
**Nice to Have**
⭐ Multimodal AI (Vision, Audio, Code Generation)
⭐ TensorRT, ONNX, MLIR
⭐ Knowledge Graphs
⭐ AI Planning Systems
⭐ Open\-Source Contributions
⭐ Published Research
⭐ Edge AI Deployment Experience
**Why Join 301io?**
* Founding\-level ownership of AI initiatives * Direct collaboration with leadership and product teams * Opportunity to build production AI products from scratch * Exposure to cutting\-edge AI technologies and frameworks * High\-growth startup environment with real impact * Freedom to influence AI strategy and architecture * Work on Agentic AI, LLMs, RAG, MLOps, and next\-generation AI products
**Ideal Candidate Profile**
Candidates from the following backgrounds will be highly preferred:
* AI Product Companies * Generative AI Startups * SaaS Product Companies * AI Consulting Firms * Machine Learning Platforms * Developer Tooling Companies * Innovation Labs \& R\&D Teams
**Apply Now**
If you're excited about building AI systems that move beyond demos and into production, and want to shape the future of AI\-powered products, we'd love to hear from you.
***Apply/Refer:*** https://forms.gle/yAAnJCCpHMbpuEW99
Pay: ₹2,000,000\.00 \- ₹3,000,000\.00 per year
Benefits:
* Paid sick time * Paid time off
Application Question(s):
* On a scale of 1–10, how confident are you in independently designing and deploying a production\-grade AI Agent platform using LLMs, RAG, vector databases, evaluation frameworks, and cloud infrastructure? * Do you have at least 6 years of total software engineering experience? * Do you have at least 3 years of hands\-on experience deploying AI/ML models in production environments? * Have you independently built and deployed AI\-powered applications or AI agents into production? * Are you comfortable working from Pune (Kharadi)? * Is your notice period 30 days or less?
Work Location: In person
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