Lead AI Platform Engineer – FastAPI, Snowflake, LangGraph, …, Hubballi
Lead AI Platform Engineer – FastAPI, Snowflake, LangGraph, …, Hubballi
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Hubballi, 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 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
- 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/4mskiv
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
- 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/4mskiv
Highlights
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Company nameCapital Numbers
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Job positionLead AI Platform Engineer – FastAPI, Snowflake, LangGraph, RAG, Python (Hubballi)
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