About the role
Experience: 3–5 years
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.
•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+ 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.
•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
Bachelor's degree in Computer Science,
Engineering or a related field.