SUMMARY

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.
- Solid 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.

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