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 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)

Required Skills

• 3+ years in 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.