Senior Python With AI Engineer

Experience: 3–5 years

Role Summary

The Senior FDE builds and ships AI features on GCP end to end, working closely with client users. They are the pods hands-on technical anchor and guide the two Junior FDEs day to day.

Key Responsibilities

• Build and deploy AI solutions on GCP from design through production
• Develop GenAI and LLM features: prompt pipelines, RAG, tool calling and agent workflows
• Build voice workflows (speech-to-text, text-to-speech, voice bots) and document pipelines (extraction, classification, search)
• Write clean, tested Python services and integrate with client systems and APIs
• Lead debugging of production issues and drive fixes to closure
• Review Junior FDEs code, pair with them and break work into clear tasks
• Join client calls to gather requirements, demo progress and explain technical choices
• Document solutions, runbooks and handover notes

• GCP stack: hands-on with Vertex AI, Cloud Run or Cloud Functions, BigQuery, Cloud Storage and Pub/Sub
• Python: strong; REST APIs, data processing, unit and integration testing
• AI: practical GenAI and LLM delivery (Gemini or similar), embeddings, vector search, prompt engineering
• Voice and document management: working experience with Speech-to-Text or Text-to-Speech and Document AI or OCR tools
• Debugging: independent troubleshooting across code, cloud logs and integrations
• Communication and presentability: clear with client users; can run a demo and write crisp status updates

Required Skills

• 3+Strong proficiency in Python programming with hands-on experience in building production-grade applications and APIs.
• Deep understanding of Object-Oriented Design, Design Patterns, Exception Handling, Testing Frameworks, and Dependency Management.
• Strong command over Data Structures including Arrays, Linked Lists, Trees, Graphs, Hash Tables, Heaps, Stacks, and Queues.
• Strong algorithmic problem-solving skills involving Searching, Sorting, Dynamic Programming, Recursion, Backtracking, and Graph Algorithms.
• Experience optimizing code for performance, scalability, and maintainability.
• Ability to analyze and improve solutions using time and space complexity considerations.
• Experience mentoring junior engineers on coding standards and best practices.

• Google Cloud Associate or Professional certification
• Dialogflow CX or another conversational AI platform
• Docker, CI/CD (Cloud Build or GitHub Actions)
• Client-facing or onsite delivery experience

Bachelors degree in Computer Science, Engineering or a related field.