Generative AI Engineer

About the Role :

Join a high-performing GenAI delivery team, working alongside experienced engineers to build advanced AI-powered solutions for large-scale enterprise clients. Projects involve cutting-edge work with multi-agent LLM systems, Retrieval-Augmented Generation (RAG), and enterprise-level deployments of open-source LLMs.

Required Skills :

- 12+ years of professional engineering experience, with 5-6+ years focused on AI/ML systems.

- 1+ years of hands-on experience in building Generative AI/LLM-based applications (prompt engineering, RAG, agents).

- Advanced programming skills in Python, with expertise in LangChain/LangGraph and SQL.

- Strong experience with Azure, GCP, or AWS for GenAI application development.

- Proven track record of leading technical roadmaps and project delivery.

- Excellent communication and cross-functional collaboration skills.

Roles & Responsibilities :

- Architect, lead, and deliver scalable GenAI solutions that meet complex business needs.

- Design, fine-tune, and deploy LLM-based systems using prompt engineering, RAG, and agent-based methods.

- Maintain clean, efficient, and reusable codebases for high performance and scalability.

- Deploy and optimize GenAI applications on cloud platforms with robust CI/CD practices.

- Collaborate with product managers, data scientists, and business stakeholders for seamless integration.

- Mentor junior engineers and foster a strong engineering culture.

- Keep up with advancements in the GenAI space and propose innovative technical solutions.