Senior Engineer - AI Use Case

Overview:

Lead end-to-end development of AI-powered business use cases.

Key Responsibilities:

• Own lifecycle: design build test maintain
• Build Agentic workflows, RAG pipelines, APIs
• Optimize for accuracy, latency, and cost
• Partner with Product Managers and business stakeholders

Qualifications:

Experience:

• 810 years engineering
• 3-4 years developing AI/ML systems (traditional and Gen AI)

Core Skills;

• Strong Python (must-have) ; Go/Java/Rust nice to have
• Experience building APIs and data pipelines

AI Capabilities:

• Hands-on with:
• Prompt engineering (system prompts, structured outputs)
• Advanced agentic techniques, using Langchain/langGraph, CrewAI or similar
• Using LLM APIs (OpenAI, etc.)
• RAG pipelines
• Basic evaluation techniques

Data Skills:

Experience working with:

• JSON, document parsing, ETL pipelines
• Ability to clean and structure messy enterprise data

What Good Looks Like

Can independently:

• Build a working AI feature
• Debug model behavior
• Improve outputs iteratively

Competencies:

• Product thinking
• End-to-end ownership
• Pragmatic AI engineering