Sr Agentic AI Engineer

Experience: 4-13 years

Job Location: Bangalore

Work Mode: Hybrid

Must Have Skills: Agentic AI, Python, LLM,

Job Overview

We are seeking a highly skilled AI/ML Engineer with strong backend development expertise to design, build, and scale production-grade AI-driven applications for healthcare and life sciences use cases.

This is a hands-on development role focused on building LLM-powered, Agentic AI, and RAG-based systems, taking solutions from prototype to scalable, enterprise-ready deployments.

Looking for a Senior AI/ML Engineer with strong Python backend expertise to build production-grade LLM, RAG, and Agentic AI applications. Hands-on role focused on scalable APIs, AI frameworks (LangChain), and real-world data systems. Bangalore-based, hybrid work model.

Key Responsibilities:

• Design and develop production-grade backend systems using Python
• Build and deploy LLM-based applications, including Agentic workflows and RAG pipelines
• Develop and manage RESTful APIs and scalable microservices
• Translate AI/ML prototypes into robust, production-ready solutions
• Integrate modern frameworks such as LangChain, LangSmith (or similar)
• Work with large, complex datasets to build high-performance AI models and systems
• Implement best practices for model optimization, performance tuning, and scalability
• Collaborate with product, data science, and engineering teams to deliver solutions aligned with business needs
• Apply AI tools and automation in development workflows to improve productivity and efficiency

Required Skills & Experience:

• 4+ years of experience in software development with AI/ML exposure
• Strong programming expertise in Python (mandatory)
• Agentic AI frameworks (LangChain / LangGraph / similar)
• Retrieval-Augmented Generation (RAG)
• API development and backend architecture
• Experience building production-grade AI/ML systems
• Familiarity with LLMs and prompt engineering concepts
• Experience working with large real-world datasets
• Solid understanding of software engineering best practices (scalability, reliability, testing)

Good to Have:

• Experience with frontend frameworks (React / Angular)
• Knowledge of cloud platforms (Azure / AWS / GCP)
• Exposure to containerization (Docker/Kubernetes)
• Experience in healthcare / pharma domain
• Experience with ML lifecycle tools (MLflow, LangSmith, etc.)
• Exposure to evaluation techniques for LLMs/Agentic systems (e.g., agent performance testing, benchmarking, or similar)

Educational Qualification: BTech/BE/MTech/ME/MCA