Noida, Uttar Pradesh
Job Summary
We are looking for a AgenticAI/GenAI Engineer with strong experience in building and deploying GenAI/AgenticAI applications. The ideal candidate has hands-on expertise with modern AI stacks, Agent Development Kit, MCP. A2A , cloud platforms, vector databases and Retrieval-Augmented Generation (RAG).
Key Responsibilities
Develop solutions using LLMs ( Azure OpenAI, Google Gemini, OpenAI APIs or similar) and Agent Development Kits (OpenAI Agent SDK/Google ADK/Langchain/Langraph).
Build RAG pipelines using LangChain, LlamaIndex, or similar tools.
Implement document processing, embeddings, vector search, and hybrid semantic search.
Deploy GenAI applications on Azure ML Studio, Vertex AI, AWS , or using FastAPI + Docker/Kubernetes .
Integrate CI/CD workflows using GitHub Actions, Azure DevOps , etc.
Collaborate with product and engineering teams to deliver scalable, secure, and high-performance AI systems.
Required Skills
Strong proficiency in Python and backend AI development.
Experience with LLMs (Azure OpenAI, Gemini, etc.) and any Agent development kit .
Knowledge of embeddings (Sentence-Transformers, OpenAI Embeddings, etc).
Hands-on experience with vector DBs like Pinecone, Qdrant, Weaviate, Chroma, FAISS, etc .
Familiarity with hybrid search tools such as Azure AI Search, OpenSearch or similar .
Experience deploying applications on cloud PaaS/IaaS or Kubernetes.
Working knowledge of CI/CD and LLM/MLOps practices.
Nice to Have
Experience with evaluations, prompt engineering, fine-tuning and agent workflows.
Other Requirements
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