Senior AI Engineer

Role & Responsibilities:

• Build agentic workflows using LangChain/LangGraph and similar frameworks.
• Develop autonomous agents for data validation, reporting, document processing, and domain workflows.
• Deploy scalable, resilient agent pipelines with monitoring and evaluation.
• Develop GenAI applications using models like GPT, Gemini, and LLaMA.
• Implement RAG, vector search, prompt orchestration, and model evaluation.
• Build distributed data pipelines (Python, PySpark).
• Develop APIs, SDKs, and integration layers for AIpowered applications.
• Contribute to CI/CD workflows for AI modelsdeployment, testing, monitoring.
• Work with analytics, product, and engineering teams to define and deliver AI solutions.
• Participate in architecture reviews and iterative development cycles.

Preferred candidate profile

• 6- 9 years of experience in AI/ML engineering, data science, or software engineering.
• Strong programming expertise in Python, distributed computing using PySpark, and API development
• Hands on experience with LLM frameworks (LangChain, LangGraph, Transformers, OpenAI/Vertex/Bedrock SDKs)
• Experience developing AI agents, retrieval pipelines, tool calling structures, or autonomous task orchestration
• Solid understanding of GenAI concepts: prompting, embeddings, RAG, evaluation metrics, hallucination identification, model selection, fine tuning, context engineering
• Experience with cloud platforms (Azure/AWS/GCP), containerization (Docker), and CI/CD pipelines for ML/AI
• Strong problem solving, system design thinking, and ability to translate business needs into scalable AI solutions
• Excellent verbal, written communication and presentation skills.