Lead Python with AI Engineer

Algoleap Technologies; Mumbai; On-site; INR 3,000,000 - 5,200,000; Full time

Benefits offered by this job

Health insurance

Job summary

Algoleap Technologies Pvt Ltd in Mumbai seeks a Lead Python with AI Engineer to own end-to-end AI solutions on GCP for clients. You design the solution, lead a pod of three FDEs, and serve as the main technical face to business and IT stakeholders.

Responsibilities include architecting GenAI/LLM workflows, building voice and document management solutions, ensuring production quality, running client workshops, and mentoring junior engineers.

Qualifications

• Lead Python with AI engineering on GCP platforms.
• Design AI solutions, mentor a pod of 3 engineers.
• Translate client problems into technical designs.
• Architect GenAI/LLM workflows and document management.

Responsibilities

• Lead the pod: plan sprints, assign work, review code.
• Architect AI solutions on GCP, including GenAI/LLM.
• Design voice and document management workflows.
• Own production quality and incident debugging.
• Run client workshops, demos and status reviews.
• Mentor Senior/Junior engineers; set coding standards.

Skills

GCP stack expertise (Vertex AI, Cloud,

Tools

FastAPI/Flask

Terraform

Cloud Run

BigQuery

Job description

Algoleap Technologies Pvt Ltd | Full time

Lead Python with AI Engineer

The POD Lead owns end-to-end delivery of AIsolutions on GCP for the client. They design the solution, lead a pod of threeFDEs, and are the main technical face to the client's business and ITstakeholders.

Key responsibilities

• Lead the pod team: plan sprints, assign work, review code and unblock the team
• Translate client businessproblems into technical solution designs and delivery plans
• Architect AI solutions on GCP,including GenAI, LLM and agent-based workflows
• Design voice and documentmanagement solutions: speech-to-text, text-to-speech, conversational voiceagents, document extraction and classification
• Own production quality:debugging of complex issues, root-cause analysis, monitoring and performancetuning
• Run client workshops, demos,status reviews and steering updates
• Manage scope, timelines, risksand escalations with the client and internal leadership
• Set coding, security anddocumentation standards for the pod
• Mentor and grow the Senior andJunior FDEs

Required skills

• GCP stack: deep hands-on experience withVertex AI, Cloud Run, Cloud Functions, BigQuery, Cloud Storage, Pub/Sub, IAMand 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, modelevaluation
• Voice and document management: Speech-to-Text, Text-to-Speech, Dialogflow CX or similar; Document AI, OCR anddocument workflows
• Debugging: proven track record resolvingproduction incidents across cloud services, logs (Cloud Logging) and traces
• Communication and presentability: confident with senior client stakeholders; clear written updates; strongwhiteboarding and demo skills

Python& Data Structures / Algorithms (DSA)

Required Skills

• 6+ Years in Expert-levelPython programming with extensive experience in designing and buildingscalable enterprise applications.
• Strongexpertise in Object-Oriented Design, Design Patterns, Concurrency,Multi-threading, Async Programming, and Microservices Architecture.
• In-depthknowledge of advanced Data Structures including Trees, Graphs, Heaps,Tries, Hash Maps, Distributed Data Structures, and Large-Scale DataProcessing techniques.
• Provenexperience in designing efficient algorithms and optimizing systems forperformance, scalability, and reliability.
• Strongability to review code, establish engineering best practices, and mentorengineering teams.
• Deepunderstanding of computational complexity, architecture trade-offs, andsoftware design principles.
• Experienceleading technical design discussions and driving engineering excellenceacross AI/ML and software development teams.

Good to have

• Google Cloud Professionalcertification (Cloud Architect or Machine Learning Engineer)
• CI/CD and infrastructure ascode (Cloud Build, Terraform)
• Prior experience in aclient-facing or consulting delivery role
• Experience leading teams of 3–6engineers