Lead Python with AI Engineer

Experience: 6+ years · Positions: 1
· Reports to: Delivery / Engagement
Head

Role summary

The POD Lead owns end-to-end delivery of AI
solutions on GCP for the client. They design the solution, lead a pod of three
FDEs, and are the main technical face to the client's business and IT
stakeholders.

Key responsibilities

•         Lead the pod (1 Senior FDE, 2
Junior FDEs): plan sprints, assign work, review code and unblock the team

•         Translate client business
problems into technical solution designs and delivery plans

•         Architect AI solutions on GCP,
including GenAI, LLM and agent-based workflows

•         Design voice and document
management solutions: speech-to-text, text-to-speech, conversational voice
agents, document extraction and classification

•         Own production quality:
debugging of complex issues, root-cause analysis, monitoring and performance
tuning

•         Run client workshops, demos,
status reviews and steering updates

•         Manage scope, timelines, risks
and escalations with the client and internal leadership

•         Set coding, security and
documentation standards for the pod

•         Mentor and grow the Senior and
Junior FDEs

Required skills

•         GCP stack: deep hands-on experience with
Vertex AI, Cloud Run, Cloud Functions, BigQuery, Cloud Storage, Pub/Sub, IAM
and networking basics

•         Python: expert level; production APIs
(FastAPI or Flask), async processing, testing and packaging

•         AI: GenAI and LLMs (Gemini or similar),
prompt design, retrieval-augmented generation (RAG), agent frameworks, model
evaluation

•         Voice and document management: Speech-to-Text, Text-to-Speech, Dialogflow CX or similar; Document AI, OCR and
document workflows

•         Debugging: proven track record resolving
production incidents across cloud services, logs (Cloud Logging) and traces

•         Communication and presentability: confident with senior client stakeholders; clear written updates; strong
whiteboarding and demo skills

Python
& Data Structures / Algorithms (DSA)

Required Skills

• 6+ Years in Expert-level
  Python programming with extensive experience in designing and building
  scalable enterprise applications.
  
• Strong
  expertise in Object-Oriented Design, Design Patterns, Concurrency,
  Multi-threading, Async Programming, and Microservices Architecture.
  
• In-depth
  knowledge of advanced Data Structures including Trees, Graphs, Heaps,
  Tries, Hash Maps, Distributed Data Structures, and Large-Scale Data
  Processing techniques.
  
• Proven
  experience in designing efficient algorithms and optimizing systems for
  performance, scalability, and reliability.
  
• Strong
  ability to review code, establish engineering best practices, and mentor
  engineering teams.
  
• Deep
  understanding of computational complexity, architecture trade-offs, and
  software design principles.
  
• Experience
  leading technical design discussions and driving engineering excellence
  across AI/ML and software development teams.
  

Good to have

•         Google Cloud Professional
certification (Cloud Architect or Machine Learning Engineer)

•         CI/CD and infrastructure as
code (Cloud Build, Terraform)

•         Prior experience in a
client-facing or consulting delivery role

•         Experience leading teams of 3–6
engineers