Description

Build and deploy AI/ML, Generative AI, and Agentic solutions for enterprise use cases.

You will own the end-to-end lifecycle of AI applications, from data engineering to MLOps and monitoring.

Responsibilities

• Develop AI applications using LLMs, RAG, AI Agents, and intelligent automation frameworks.
• Build and maintain data pipelines, embedding pipelines, and vector databases for AI workloads.
• Implement MLOps and LLMOps processes, including deployment, monitoring, and performance optimization.
• Integrate AI services with enterprise applications via APIs and support model evaluation.
• Collaborate with cross-functional teams to define requirements and ensure AI governance and security.

Required Skills

• 5+ years of experience in Python and software development fundamentals.
• Strong understanding of Machine Learning, NLP, and data analytics concepts.
• Hands-on experience with LLMs, Prompt Engineering, RAG, and AI Agent frameworks.
• Proficiency with LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Experience with SQL, APIs, and data integration.
• Knowledge of Docker, Git, and CI/CD fundamentals.
• Exposure to AWS, Azure, or GCP cloud platforms.

Preferred Skills

• Bachelor's degree in Computer Science, Engineering, or related field.

Key Skills

Education

Bachelor's degree