Lead Ai Platform Engineer – Fastapi, Snowflake, Langgraph, …, Ernakulam
Lead Ai Platform Engineer – Fastapi, Snowflake, Langgraph, …, Ernakulam
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Ernakulam, India
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Posted: less than a week ago
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Description
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 contemporary 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 solid 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
Robust 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
B Apply on Kit Job: kitjob.in/job/4n4ffr
This is NOT a conventional Python developer or standard Tech Lead role.
The ideal candidate is someone already operating in contemporary 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 solid 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
Robust 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
B Apply on Kit Job: kitjob.in/job/4n4ffr
Highlights
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Company nameCapital Numbers
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Job positionLead Ai Platform Engineer – Fastapi, Snowflake, Langgraph, Rag, Python Ernakulam
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