Staff Software Engineer - GenAI

Key Responsibilities

Research and implement Generative AI use cases using LLMs (text, voice, image, or multimodal). Build prototypes using frameworks such as Lang. Chain, Llama. Index Design and optimize prompts for accuracy, safety, and performance. Implement RAG (Retrieval‑Augmented Generation) pipelines using vector databases. Integrate AI models via APIs or open‑source models (OpenAI, Azure OpenAI, Hugging Face, local LLMs).

Work on AI agents, tools, and orchestrations (function calling, workflows). Evaluate model outputs using metrics like relevance, hallucination rate, latency, and cost. Assist in deploying GenAI applications using Docker and cloud platforms preferably Azure. Collaborate with product, data, and engineering teams Document experiments, findings, and best practices.

Mentor engineers and drive best practices Requirements Required Skills 3+ years of professional experience and 2+ years of experience in GenAI. Strong experience in Python or Java Hands-on with LLMs, prompt engineering, and RAG Experience with Lang. Chain, Llama. Index, or similar Knowledge of vector databases (FAISS, Pinecone, etc.)

Experience with cloud platforms (Azure preferred) Understanding of microservices and distributed systems Basic experience with Git and REST APIs. Ability to read research blogs or documentation and implement ideas quickly.

Benefits

Benefits Hands‑on exposure to modern GenAI stacks Certificate / Letter of Recommendation Access to real‑world datasets and use cases