Experience: 3–5 years

Role summary

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

Key responsibilities

•Build and deploy AI solutionson 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 Pythonservices and integrate with client systems and APIs

•Lead debugging of productionissues and drive fixes to closure

•Review Junior FDEs' code, pairwith them and break work into clear tasks

•Join client calls to gatherrequirements, demo progress and explain technical choices

•Document solutions, runbooksand 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, dataprocessing, unit and integration testing

•AI: practical GenAI and LLM delivery(Gemini or similar), embeddings, vector search, prompt engineering

•Voice and document management: workingexperience with Speech-to-Text or Text-to-Speech and Document AI or OCR tools

•Debugging: independent troubleshootingacross code,



cloud logs and integrations

•Communication and presentability: clearwith 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, Energetic 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 orProfessional certification

•Dialogflow CX or anotherconversational AI platform

•Docker, CI/CD (Cloud Build orGitHub Actions)

•Client-facing or onsitedelivery experience

Qualifications

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

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