Description :

Role : Technical Lead - AI

Experience : 10+ Years

Location : Mumbai

Key Responsibilities :

Technical Leadership & Architecture :

- Provide technical leadership and architecture for Generative and Agentic AI initiatives

- Design end-to-end AI system architectures covering orchestration, data, APIs, security, and deployment

- Build LLM-based solutions using RAG, embeddings, prompt engineering, function calling, and agentic workflows

- Ensure production readiness including CI/CD, testing, observability, scalability, security, and cost optimization

- Mentor AI engineers and collaborate with business and technology stakeholders

Generative & Agentic AI Engineering :

Design and build LLM-based systems using techniques such as :

1. Retrieval Augmented Generation (RAG)

2. Embeddings and vector search

3. Prompt engineering and prompt optimization

4. Function calling and tool usage

5. Agentic and multi-agent workflows

- Build AI systems that integrate LLMs with APIs, data platforms, enterprise applications, and workflow engines

- Apply modern AI evaluation approaches including automated testing, benchmarking, and qualitative + quantitative LLM evaluation

Engineering Excellence & Operations :

- Apply strong software engineering and distributed systems principles to AI development

- Design for observability, including logging, metrics, tracing, alerts, and model performance monitoring

- Diagnose and resolve production issues related to latency, reliability, data quality, and model behavior

- Balance innovation speed with operational excellence and long-term maintainability

Collaboration, Enablement & Mentorship :

- Work closely with business stakeholders to translate real-world problems into AI-driven solutions

- Partner with AI engineers, data scientists, and platform teams to scale delivery

- Mentor and coach engineers on Generative AI, Agentic AI, and cloud-native best practices

- Support low-code and Copilot/Flow-style solutions where appropriate, while ensuring architectural integrity

Qualifications :

- Bachelors or masters degree in computer science, Engineering, or a related field.

- 10+ years of experience in software engineering

Programming & Engineering :

- Python

- REST APIs

- CI/CD pipelines

- Automated testing

- Distributed systems design

Generative & Agentic AI :

- Generative AI and LLM-based systems

- Agentic and multi-agent workflows

- Retrieval Augmented Generation (RAG)

- Embeddings and vector databases

- Prompt engineering and prompt optimization

- LLM evaluation and testing strategies

Cloud & AI Platforms :

- Azure OpenAI

- Azure AI Services

- AWS Bedrock

- Amazon SageMaker

Production & Operations :

- Observability (logs, metrics, tracing, alerts)

- Monitoring and reliability engineering

- Performance tuning and cost optimization