Senior Python AI Engineer

Role Summary:

The Senior FDE builds and ships AI features on GCP end to end, working closely with client users. They are the pod's 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

Required Skills:

• 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

Python & Data Structures / Algorithms (DSA):

• 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

Good to have:

• 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

Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field.

Skills

BigQuery, Embeddings, GCP, Gen AI, Google Cloud, LLM, Pub/SUB, Python, RAG, Vector Search, Vertex AI