Job Summary :

We are looking for an experienced - AI/ML Engineer- with strong hands-on expertise in - Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI- . The ideal candidate will be responsible for designing, developing, and deploying enterprise-grade AI applications and intelligent agent-based solutions.

The candidate should have strong Python development skills and experience building scalable AI solutions using modern LLM frameworks, cloud AI platforms, APIs, and enterprise CI/CD practices.

Key Responsibilities :

- Design, develop, and deploy - Generative AI and LLM-powered applications- for enterprise use cases.

- Build and optimize - RAG pipelines- , including document ingestion, chunking, embeddings, retrieval, reranking, and response generation.

- Design and develop - AI Agents and multi-agent workflows- using frameworks such as - LangGraph, CrewAI, and PydanticAI- .

- Develop effective - prompt engineering strategies- to improve LLM accuracy, reliability, and performance.

- Integrate LLMs and AI services with enterprise applications through - REST APIs, WebSockets, and event-driven architectures- .

- Build scalable and production-ready AI/ML solutions using - Databricks and cloud AI platforms- .

- Develop reusable AI components, services, and APIs following enterprise software engineering best practices.

- Implement evaluation, monitoring, testing, and optimization strategies for LLM and AI applications.

- Work with engineering, data, product, and business teams to translate requirements into AI-driven solutions.

- Implement and maintain - CI/CD pipelines using Jenkins and Git- for AI application development and deployment.

- Ensure solutions meet enterprise requirements related to - security, scalability, reliability, maintainability, and performance- .

- Stay current with emerging developments in - Generative AI, LLMs, RAG, Agentic AI, and AI engineering- .

Must-Have Skills :

- Strong hands-on experience with - Python- .

- Strong experience in - Generative AI and Large Language Models (LLMs)- .

- Hands-on experience designing and implementing - RAG workflows- .

- Experience building - AI Agents / Agentic AI- using one or more of :

1. LangGraph

2. CrewAI

3. PydanticAI

- Strong understanding of - Prompt Engineering- and LLM interaction patterns.

- Experience with - Databricks and cloud-based AI platforms- .

- Strong experience developing and integrating - REST APIs- .

- Experience with - WebSockets and event-driven architectures- .

- Hands-on experience with - Jenkins CI/CD and Git- .

- Experience developing and deploying - enterprise AI applications- .

Preferred Skills :

- Experience with LLM evaluation, observability, and performance optimization.

- Understanding of vector databases and embedding technologies.

- Experience with cloud platforms such as - AWS, Azure, or GCP- .

- Knowledge of microservices and scalable distributed architectures.

- Experience with AI security, responsible AI, and enterprise governance.

- Experience working in Agile/Scrum environments.

- Strong analytical, problem-solving, and communication skills.