Senior Python with AI Engineer

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.