Excelra - Senior Artificial Intelligence/Machine Learning Engineer - Generative AI

Job Summary :

We are seeking a highly skilled and innovative Senior AI/ML Engineer with strong experience in building Generative AI solutions from MVP to production. The ideal candidate should have hands-on expertise in multi-agent orchestration, prompt engineering, RAG architecture, and advanced Python frameworks such as LangChain, LangGraph, and AutoGen. Experience with Databricks and tool integrations (e.g., GitHub, UI components) is essential.

Key Responsibilities :

- Build, orchestrate, and optimize multi-agent architectures using frameworks like LangChain, LangGraph, and AutoGen.

- Integrate external tools and APIs into AI agents (e.g., GitHub, internal/external UI components).

- Lead the development and deployment of RAG (Retrieval-Augmented Generation) pipelines.

- Collaborate with cross-functional teams to align AI solutions with business goals.

- Leverage Databricks for scalable data processing, ML model development, and deployment.

- Develop, refine, and evaluate prompts for LLM-based tasks (Prompt Engineering).

- Monitor and optimize the performance and accuracy of AI systems in production.

Required Skills & Qualifications :

- Strong programming skills in Python and proficiency in GenAI frameworks (LangChain, LangGraph, AutoGen).

- Experience with building and orchestrating multi-agent systems.

- Proven track record in taking GenAI-based MVPs to full-scale production.

- Hands-on experience in integrating AI agents with tools and platforms (e.g., GitHub, custom UIs).

- Solid understanding and implementation experience with RAG architecture and prompt engineering.

- Proficiency with Databricks for data and ML workflows.

- Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Nice to Have :

- Exposure to cloud environments (Azure, AWS, or GCP).

- Familiarity with CI/CD for ML pipelines