Gen Ai Engineer - immediate Joiner - Hybrid - 6+ Years

GenAI Engineer

Position: GenAI Engineer

Experience: 6+ Years

Location: PAN India

Work Mode: Hybrid

Employment Type: Full-Time

Job Summary

We are looking for an experienced GenAI Engineer with 6+ years of overall software/AI engineering experience and strong hands-on expertise in Generative AI, Large Language Models (LLMs), RAG, prompt engineering, and AI application development .

The ideal candidate should have strong programming skills in Python and practical experience building, deploying, and optimizing production-grade GenAI solutions using modern AI/ML frameworks and cloud platforms.

Key Responsibilities

• Design, develop, and deploy Generative AI and LLM-based applications .
• Build enterprise-grade Retrieval-Augmented Generation (RAG) solutions.
• Work with LLMs such as OpenAI GPT, Azure OpenAI, Gemini, Claude, Llama , or equivalent models.
• Develop effective prompt engineering strategies for different business use cases.
• Implement document ingestion, chunking, embedding generation, retrieval, reranking, and response generation pipelines.
• Work with Vector Databases such as Pinecone, FAISS, Chroma, Weaviate, Milvus, or Azure AI Search.
• Develop AI agents and agentic workflows using frameworks such as LangChain, LangGraph, Semantic Kernel , or equivalent.
• Integrate LLMs with enterprise applications using REST APIs and microservices .
• Develop Python-based AI/ML services and applications.
• Implement model evaluation, hallucination detection, grounding, and response-quality measurement.
• Optimize LLM applications for performance, scalability, latency, and cost .
• Work on fine-tuning, model customization, or parameter-efficient techniques where required.
• Implement security, authentication, data privacy, and responsible AI practices.
• Deploy GenAI applications on cloud platforms such as Azure, AWS, or GCP .
• Collaborate with data scientists, ML engineers, software engineers, architects, and business stakeholders.
• Troubleshoot production issues and continuously improve AI solutions.

Mandatory Skills

SkillRequirement

Generative AI / LLM

Mandatory

Python

Mandatory – Strong

RAG

Mandatory

Prompt Engineering

Mandatory

LLM APIs

Mandatory

LangChain / LangGraph / Semantic Kernel

Mandatory – Any one or more

Vector Database

Mandatory

REST APIs / Microservices

Mandatory

Machine Learning / NLP

Mandatory

Cloud – Azure/AWS/GCP

Mandatory

Git / CI-CD

Good experience

Strong Technical Skills

LLM & Generative AI

• OpenAI / Azure OpenAI
• Google Gemini
• Anthropic Claude
• Meta Llama or equivalent open-source LLMs
• Prompt engineering
• Function calling / tool calling
• Structured outputs
• LLM evaluation
• Hallucination mitigation
• Guardrails

RAG & Knowledge Systems

• Document processing and ingestion
• Text chunking strategies
• Embeddings
• Semantic search
• Hybrid search
• Reranking
• Vector databases
• Retrieval optimization
• Metadata filtering
• Context management

AI Agent Development

• Agentic AI
• Tool/function calling
• Multi-agent workflows
• LangGraph
• LangChain
• Semantic Kernel
• Agent orchestration
• Memory management

Python & Application Development

• Python
• FastAPI / Flask
• REST APIs
• Microservices
• JSON
• Git
• Docker

Cloud & Deployment

Experience with one or more:

• Microsoft Azure Azure OpenAI
• Azure AI Search
• Azure AI Services
• Azure Functions
• Azure Kubernetes Service
• AWS Amazon Bedrock
• SageMaker
• Lambda
• OpenSearch
• GCP Vertex AI
• Gemini
• BigQuery
• Cloud Run