Business Analyst

• Build and deploy Gen AI applications across healthcare, supply chain, retail, and enterprise workflows.
• Design scalable backend systems and APIs for AI-driven applications.
• Develop intelligent automation workflows using LLMs and agentic systems.

• Build applications using LLM frameworks such as LangChain, LlamaIndex, or equivalent.
• Implement prompt engineering, evaluation pipelines, and model optimization.
• Work on RAG pipelines, vector search, document retrieval, and enterprise knowledge systems.

• Productionize AI solutions with reliability, monitoring, and observability.
• Optimize latency, token usage, and inference costs.
• Build evaluation systems for quality benchmarking across models and vendors.
• Maintain deployment pipelines and support enterprise scaling.

• Collaborate with internal business teams to understand use cases.
• Work with external AI vendors and implementation partners.
• Evaluate build vs buy decisions and support AI architecture choices.

• 2–4 yrs AI/ML engineering • Min. 1

yr hands-on Gen AI / LLM dev •

• Python (strong) • Pandas, NumPy,

Bedrock, Vertex AI • Vector DBs,

embeddings, RAG • API dev &

• Speech / audio AI • AI evaluation

frameworks • AI observability &

governance • Healthcare or

e-commerce domain

Observability