? We’re Hiring | AI Engineer / Generative AI Engineer

? Location: Delhi

? Work Mode: Work From Office (WFO)

? Employment Type: Full-Time (FTE)

? Experience: 2–3 Years

? Apply:

About the Role

We’re looking for an AI Engineer / Generative AI Engineer with strong hands-on experience in Python and Generative AI to build and integrate LLM-powered applications and intelligent solutions.

You’ll work closely with senior engineers across the GenAI stack, including LLM applications, RAG pipelines, prompt engineering, agentic workflows, APIs, evaluation, and Azure-based AI solutions.

This is an excellent opportunity for an engineer with hands-on LLM exposure who wants to grow their career in Applied Generative AI.

? What You’ll Do

• Build LLM-powered applications, chatbots, and AI agents using Python, LangChain, and LangGraph

• Develop RAG pipelines covering document processing, chunking, embeddings, retrieval, and vector search

• Design and optimize prompts and context templates for business use cases

• Build AI agents, tool/function calling, multi-step workflows, and MCP-based integrations

• Develop backend services and REST APIs using FastAPI

• Deploy AI workloads on Microsoft Azure, including Azure OpenAI Service and Azure AI Search

• Implement logging, monitoring, evaluation, and optimization for accuracy, relevance, latency, and cost

• Build automation using n8n, Zapier, Make, or Python

• Collaborate with product managers, software engineers, and data scientists to deliver scalable AI solutions

• Follow best practices for security, privacy,



Responsible AI, prompt-injection protection, and data security

? Mandatory Skills

✅ 2–3 years of skilled software engineering experience

✅ 6–12+ months hands-on experience with LLMs / Generative AI

✅ Strong Python development skills

✅ Hands-on experience with LangChain & LangGraph — mandatory

✅ Hands-on Microsoft Azure experience — mandatory

✅ Experience with Azure OpenAI Service and/or Azure AI Search

✅ Experience building REST APIs using FastAPI or similar frameworks

✅ Practical knowledge of RAG, embeddings, vector databases, and semantic search

✅ Working knowledge of SQL and relational databases

✅ Strong Git, testing, debugging, and clean-code fundamentals

✅ Strong curiosity, problem-solving ability, and willingness to learn

⭐ Good to Have

• GenAI/LLM personal projects, hackathons, or GitHub portfolio

• Experience with Azure AI Foundry or LangSmith

• Knowledge of MCP and structured/tool-calling outputs

• Exposure to multimodal AI, OCR, Document Intelligence, or Agentic RAG

• Docker and containerization experience

• CI/CD exposure with Azure DevOps or GitHub Actions

• Relevant Azure AI / Generative AI certifications

? Send your CV to:

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