Lead Python with AI Engineer

algoleap
Mumbai Metropolitan Region

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 team: 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

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Questions about this job

How do I apply for the Lead Python with AI Engineer job at algoleap?

Use the apply link on this page: you apply directly with algoleap on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does algoleap want for this Lead Python with AI Engineer role?

The job description asks for 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, 6+ Years in Expert-level Python programming with extensive experience in designing and building scalable enterprise applications. and Strong expertise in Object-Oriented Design, Design Patterns, Concurrency, Multi-threading, Async Programming, and Microservices Architecture.. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at algoleap?

Apply to the algoleap roles that match your experience, and tailor your resume to each job description: for this role that means showing 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. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Lead Python with AI Engineer job remote or onsite?

This is based in Mumbai Metropolitan Region.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with algoleap, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

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