AI Developer

AI Developer / AI Engineer (LLM, RAG & Agentic AI)

We are seeking a highly skilled and innovative AI Developer to design, develop, and deploy advanced AI-powered applications using modern LLM, RAG, and Agentic AI architectures. The ideal candidate will have strong hands‑on experience in Python-based AI development and practical exposure to frameworks such as Lang Chain, Lang Graph, and OpenAI ecosystems.

You will play a key role in building scalable AI solutions, implementing Retrieval-Augmented Generation (RAG) systems, developing AI agents, and integrating embeddings with vector databases.

• Design and implement AI applications using Large Language Models (LLMs).
• Integrate OpenAI APIs and other foundation models into production systems.
• Develop and optimize prompt engineering strategies for accuracy and performance.
• Build and deploy scalable AI services and APIs.

• Design and implement Retrieval-Augmented Generation (RAG) pipelines.
• Develop ingestion pipelines for document processing and embedding generation.
• Implement semantic search using vector databases.
• Optimize chunking strategies, embeddings, and retrieval logic.

• Build intelligent AI Agents using Lang Chain and Lang Graph.
• Implement state management, multi-step workflows, and tool integrations.
• Design agentic workflows for task automation and decision-making.
• Work with specification-driven development approaches for AI systems.

• Generate embeddings using OpenAI or other embedding models.
• Implement and manage vector databases (e.g., FAISS, Chroma, Pinecone, etc.).
• Optimize similarity search performance and retrieval strategies.

• Develop AI-driven microservices using Python.
• Integrate AI Foundry or enterprise AI platforms into enterprise solutions.
• Ensure scalable, secure, and maintainable AI architectures.
• Implement monitoring, evaluation, and observability for AI models.

• Follow specification-driven development methodologies.
• Write clean, modular, and testable Python code.
• Conduct code reviews and maintain high engineering standards.
• Collaborate with cross-functional teams (Product, Dev Ops, Data).

• Python (Advanced proficiency)
• Lang Chain
• Lang Graph
• AI Agent Development
• Embeddings & Vector Databases
• OpenAI API Integration
• Large Language Models (LLMs)
• AI Foundry Platforms
• Prompt Engineering
• Specification Driven Development
• Retrieval-Augmented Generation (RAG)

• Experience with FAISS / Chroma / Pinecone / Weaviate
• Experience building REST APIs (FastAPI / Flask)
• Understanding of Transformer architecture
• Experience with cloud platforms (Azure / AWS / GCP)
• Knowledge of CI/CD for AI systems
• Experience with evaluation frameworks for LLMs
• Exposure to fine-tuning or model optimization techniques

• Strong analytical and problem-solving ability
• Ability to translate business requirements into AI solutions
• Excellent communication skills
• Self-driven and innovative mindset
• Ability to work in fast-paced environments