AI Engineer

Experience

34 Years

Job Summary

We are seeking an experienced AI Engineer withexpertisein Machine Learning Generative AI LLMs and Agentic AI systems. The ideal candidate will design develop and deploy AI-powered applications using modern AI frameworks vector databases and cloud platforms. The candidate should have hands-on experience building production-grade AI solutions including RAG systems AI Agents and LLM-based applications.

Key Responsibilities

• Design and develop AI/ML and Generative AI applications.

• Build andoptimizeRetrieval-Augmented Generation (RAG) pipelines.

• Develop Agentic AI workflows using frameworks such asLangGraphLangChainCrewAI or similar.

• Integrate Large Language Models (GPT Claude Gemini Llama Mistral etc.) into business applications.

• Develop REST APIs usingFastAPIor Flask.

• Implement vector search solutions usingQdrant PineconeWeaviate or FAISS.

• Create prompt engineering strategies and evaluation frameworks.

• Fine-tune andoptimizeopen-source LLMs usingLoRA/QLoRAtechniques.

• Deploy AI applications on Azure AWS or GCP.

• Implement monitoring observability and performance optimization for AI systems.

• Collaborate with Product Owners Data Scientists and Engineering teams to deliver AI solutions.

• Ensure AI applications meet security scalability and reliability requirements.

Required Skills

Programming

• Python (Strong)

• SQL

• REST API Development

Generative AI

• LLM Applications

• Prompt Engineering

• RAG (Retrieval-Augmented Generation)

• AI Agents / Agentic Workflows

• Function Calling / Tool Calling

• Structured Output Generation

Frameworks & Libraries

• LangChain

• LangGraph

• LlamaIndex

• Hugging Face

• Transformers

Machine Learning

• NLP

• Model Evaluation

• Fine-tuning Techniques

• Embeddings

• Vector Search

Vector Databases

• Qdrant

• Pinecone

• Weaviate

• FAISS

Cloud & DevOps

• Azure AI Services / Azure OpenAI

• Azure AI Foundry

• Docker

• CI/CD Pipelines

• GitHub Actions / Azure DevOps

Databases

• MySQL / PostgreSQL

• Vector Databases

Preferred Qualifications

• Experience building multi-agent AI systems.

• Experience with MCP (Model Context Protocol).

• Experience withLangSmithor similar observability tools.

• Knowledge of Kubernetes and container orchestration.

• Experience deploying AI solutions in production environments.

• Exposure toMLOpspractices and model lifecycle management.

Required Experience:

IC