The GenAI Platform Lead is responsible for architecting, building, and operating an enterprise-grade Generative AI platform that enables product teams to rapidly deliver secure, scalable, and costefficient AI-powered applications.

This role is engineering-led, combining deep backend and platform engineering expertise with applied Generative AI systems design.
It focuses on production-grade LLM integration, platform reliability, governance, and developer enablement.

Mandatory Requirements :

– 15+ years of overall IT experience, with strong expertise in :

1. Python

2. RESTful APIs

3. RDBMS

– Minimum 2+ years of hands-on experience in Generative AI / LLM-based systems, building or operating production AI platforms or services.

– Proven experience leading backend or platform engineering teams in an enterprise environment.

Hands-on exposure to LLM platforms such as :

1. Amazon Bedrock

2. Azure OpenAI

3. OpenAI

4. Anthropic

– Demonstrated ownership mindset with the ability to drive architecture, execution, governance, and operational excellence.

What This Role Is and Is Not :

This Role IS :

– AI Engineering / GenAI Platform Engineering

– Building LLM-powered backend systems

– Designing reusable GenAI platform capabilities

– Productionizing LLM workflows with governance, observability, and cost control

– Supporting multiple product teams via a shared AI platform

This Role Is NOT :

– Data Science

– ML research or experimentation

– Model training from scratch

– Statistical modeling or feature engineering

– Notebook-driven, research-focused ML workflows

Core Technical Skills :

1) Platform & Backend Engineering :

– Expert-level proficiency in Python using :

1. FastAPI

2. Django

3. Flask (or equivalent frameworks)

– Strong experience with APIfirst and platform first architecture :

1. Versioning

2. Backward compatibility

3. Lifecycle management

– Deep understanding of distributed systems, middleware design, and service integration patterns.

– Strong background in RDBMS (PostgreSQL / MySQL) :

1. Schema design and optimization

2. Complex SQL queries

3. Indexing, performance tuning, and transaction management

– Experience with ORMs (SQLAlchemy, Django ORM) and understanding of performance trade-offs.

– Solid understanding of scalability, resiliency, security, and cost optimization.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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