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AI Engineer

MH, INOn-siteSeniorFound Jun 13
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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

301ioAI Engineer
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