Position Details
About this role
This role will lead hands-on development of Python services that integrate Generative AI capabilities directly into an enterprise data and analytics ecosystem. You will help accelerate data product delivery, improve ML/modeling platforms, and collaborate with partners beyond Technology.
Key Responsibilities
- Embed Generative AI into workflows for developing enterprise data products and ML platforms
- Design and build Python-based services integrating LLM capabilities
- Provide technical guidance and mentorship to junior and offshore teams
- Partner with security, risk, and compliance teams for governance, privacy, and ethics
- Evaluate emerging data and AI technologies for practical viability and business value
Technical Overview
You will design, develop, and maintain Python applications and services that use LLM capabilities with patterns including prompt design, Retrieval-Augmented Generation, embeddings, vector stores, and agentic AI. You will also apply DevOps best practices using Infrastructure as Code, Docker/Kubernetes, and CI/CD pipelines, ideally in AWS-based cloud environments.
Ideal Candidate
The ideal candidate is a Lead Developer with 6–9 years of professional Python development experience focused on Generative AI and LLM integration. They have strong experience with prompt design, Retrieval-Augmented Generation, embeddings, vector stores, and agentic AI, and they build data-first services in an enterprise data engineering organization. They also bring DevOps experience including Infrastructure as Code, Docker, Kubernetes, and CI/CD pipelines, ideally on AWS.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Must have 6-9 years of professional software development experience with a strong emphasis on Python, Must demonstrate Generative AI experience including prompt design, Retrieval-Augmented Generation, embeddings & vector stores, and agentic AI
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