Lead AI Platform Engineer – FastAPI, Snowflake, LangGraph, RAG, Python

We are looking for a highly hands-on AI-native Technical Lead / Founding Engineer type profile who can build and scale production-grade AI systems end-to-end.

This is NOT a conventional Python developer or standard Tech Lead role.

The ideal candidate is someone already operating in modern AI-first engineering environments — actively building with frontier LLMs, agentic workflows, AI coding systems, and scalable backend/data architectures.

Role Overview

You will work closely with leadership and product stakeholders to architect, build, and optimize AI-powered systems and engineering workflows.

You should be capable of:

• Owning architecture decisions
• Building production-grade AI systems
• Leading engineering execution
• Improving developer productivity using AI
• Designing scalable backend + data platforms
• Working independently with minimal hand-holding

This role requires a strong builder mindset, startup execution speed, and deep hands-on technical capability.

Mandatory Skills

Backend & System Engineering

• Strong hands-on experience in:
• Python
• FastAPI
• REST APIs
• Microservices architecture
• Distributed systems
• Strong understanding of:
• System design
• Scalable backend architecture
• API integrations
• Performance optimization

AI / LLM Engineering

Must have real production experience with:

• Generative AI systems
• Agentic AI workflows
• RAG pipelines
• LangChain / LangGraph
• OpenAI / Claude / Gemini ecosystem
• Prompt orchestration
• AI-assisted engineering workflows
• AI coding tools in daily development lifecycle

Data Engineering

Mandatory experience with:

• Snowflake
• ETL / ELT pipelines
• Data modeling
• Large-scale data systems
• Structured + unstructured data processing

Cloud & Infrastructure

Experience with one or more:

• AWS / Azure / GCP
• Docker
• Kubernetes
• CI/CD pipelines
• Observability & monitoring

Key Responsibilities

• Architect and build AI-native backend systems
• Design and deploy scalable RAG and agentic AI pipelines
• Build APIs and intelligent automation frameworks
• Optimize engineering workflows using AI tooling
• Review and improve existing codebases and architectures
• Own technical decision-making and delivery quality
• Translate product requirements into technical execution plans
• Mentor and guide a small engineering team
• Collaborate directly with leadership and stakeholders
• Deliver high-quality systems at startup speed

Ideal Candidate Traits

• Strong ownership mindset
• Extremely hands-on engineer
• Fast executor and problem solver
• Comfortable with ambiguity
• AI-first engineering mindset
• Strong communication and stakeholder management
• Ability to independently drive execution

Strong Bonus Signals

• GitHub projects
• Open-source contributions
• AI side projects
• Production AI demos
• Multi-agent systems
• AI developer tooling experience
• AI copilots / internal AI platforms

Preferred Experience

• AI infrastructure engineering
• AI platform engineering
• Recommendation systems
• Search systems
• Vector databases
• AI observability/evaluation frameworks
• LLMOps / MLOps

Experience Required

• 7+ years overall engineering experience
• Strong recent experience in AI/LLM systems
• Proven experience building production-grade applications

Location

Flexible / Remote / Hybrid