AI Engineer

Agentic AI Development

• Build and integrate Agentic AI workflows: tool use, memory, planning loops, and MCP integrations using frameworks such as LangChain, LangGraph, AutoGen, or CrewAI
• Implement RAG pipelines end-to-end: document ingestion, chunking, embedding, vector retrieval, and evaluation
• Integrate LLMs via API: prompt engineering, function calling, structured outputs, and context management across providers such as OpenAI, Anthropic, and Gemini
• Use AI coding agents (Claude Code, Codex, Copilot, or equivalent) as part of day-to-day development; direct and validate AI-generated output effectively

Software Engineering

• Write clean, maintainable, production-quality Python code following SOLID principles and established design patterns
• Apply test-driven development practices; write and maintain unit and integration tests as a standard part of delivery
• Participate in code reviews, Agile/Scrum ceremonies, and JIRA-driven delivery workflows
• Work within Git-based version control; follow established branching, PR, and code review processes

Data & Analytics

• Build data pipelines for ingestion, transformation, and analysis using Python, numpy, and pandas
• Perform exploratory data analysis; generate charts, graphs, and visual summaries using Matplotlib, Seaborn, Plotly, or equivalent
  • Contribute to data quality assessment and transformation workflows as part of broader AI solution delivery