Agentic AI Developer

Technical Qualifications

• Core Engineering:  6+ years of experience in Software Data Engineering with expert-level proficiency in Python  and SQL .
• AI Tooling:  Hands-on experience with coding agents like Cursor, Claude Code, Codex etc. .
• LLM Ecosystem:  Familiarity with building/configuring context engineering mechanisms like - Model Context Protocol (MCP)  , Skills, Plugins  etc
• Terminal Proficiency:  Comfort using Claude CLI  for prompt engineering, debugging, and data exploration.
• Data Stack:  Experience with modern data warehouses (e.g., Snowflake, BigQuery, or Redshift) and orchestration tools (e.g., Airflow, Dagster).
• AI workflows/Agents:  Experince building agents and AI workflows using RAG, semantic search etc.

Soft Skills & Mindset

• The "AI-First" Habit:  You default to using AI tools to solve complex problems faster, but you have the fundamental engineering knowledge to vet and correct AI outputs.
• Prompt Engineering:  Ability to craft precise, context-aware prompts to get the best architectural results 

Why Join Us?
Work in an innovative environment with the business that is shaping the future of data migration.
Be part of a dynamic, high-growth environment at NucleusTeq.
Competitive salary and comprehensive benefits package.