Senior AIML Engineer

Key Skills: Agentic AI, LLM, Lang chain, Python, Gen AI, MLOps, Open AI, Pytorch

Roles and Responsibilities:

• Design and implement AI/ML data architectures that support generative AI and machine learning workloads.
• Build and optimize data pipelines for model training, validation, and inference workflows.
• Develop scalable AI services and integrations using Python, FastAPI, and modern LLM frameworks.
• Work with cloud AI platforms and distributed data technologies to support high-throughput, low-latency applications.
• Apply governance, security, and lifecycle practices across AI model development and deployment environments.

Skills Required:

• 7-10 years of relevant experience in AI/ML, data engineering, or AI platform development.
• Strong hands-on experience in Python, Generative AI, Agentic AI, LLMs, LangChain, and LangGraph.
• Experience designing AI/ML architectures and integrating them with enterprise data platforms.
• Ability to build scalable solutions using Spark, Kafka, SQL/NoSQL, and cloud AI services.
• Experience with API development, model integration, and production-ready AI application delivery.

Good to Have:

• Experience with PyTorch, OpenAI, MLOps, prompt engineering, embedding models, vector databases, and commercial analytics use cases.

Education: Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's preferred