Generative AI Engineer

About the Role

We are seeking a Staff Software Engineer / Staff GenAI Engineer to lead the design, development, and delivery of next-generation AI-powered platforms and products. This role requires a strong combination of backend engineering expertise, Generative AI knowledge, system architecture skills, and technical leadership.

The ideal candidate will have experience building production-grade AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and cloud-native architectures. You will work closely with engineering teams, data scientists, and clients to build scalable, secure, and reliable AI solutions.

Key Responsibilities

AI & Generative AI Engineering

• Design and build scalable AI-driven applications leveraging LLMs, RAG architectures, and agentic AI workflows.
• Develop AI agents capable of multi-step reasoning, tool integration, memory management, and workflow orchestration.
• Drive end-to-end implementation of GenAI solutions from experimentation to production deployment.
• Collaborate with data science teams for model evaluation, fine-tuning, optimization, and deployment.
• Apply machine learning concepts including regression, classification, clustering, neural networks, and probabilistic models to solve business problems.

Backend Engineering & Architecture

• Lead architecture, design, and development of highly scalable backend systems.
• Build robust APIs, microservices, and distributed systems supporting AI-powered products.
• Own technical design decisions, architecture documentation, and system improvement initiatives.
• Design solutions that balance scalability, performance, reliability, and maintainability.

Cloud & DevOps

• Design and implement cloud-native AI solutions across AWS, Azure, and GCP.
• Build and manage containerized applications using Docker and Kubernetes.
• Drive CI/CD automation and infrastructure practices using tools like Terraform.
• Implement production monitoring, logging, security, and performance optimization strategies.

Data & Database Engineering

• Design efficient data pipelines for structured and unstructured data.
• Work with SQL and NoSQL databases including PostgreSQL and MongoDB.
• Ensure data reliability, integrity, and performance across AI applications.

Technical Leadership

• Act as a technical owner for critical systems, repositories, and engineering initiatives.
• Define engineering best practices, standards, and scalable development approaches.
• Lead technical discussions with internal teams and clients.
• Mentor engineers through code reviews, technical guidance, and knowledge sharing.
• Break down complex technical problems into clear execution plans.
• Participate in hiring activities including technical interviews and candidate evaluations.

Required Skills & Experience

• 8+ years of experience in software engineering with strong backend development expertise.
• Strong programming experience in Python.
• Proven experience building and deploying AI/ML or Generative AI solutions in production environments.
• Hands-on experience with:
• Large Language Models (LLMs)
• RAG pipelines
• AI Agents
• Prompt engineering
• AI orchestration frameworks
• Experience with GenAI frameworks such as:
• LangChain
• Google ADK
• Other agent development frameworks
• Strong understanding of microservices, distributed systems, and cloud architectures.
• Experience with:
• Docker
• Kubernetes
• CI/CD pipelines
• Terraform
• Experience working with databases such as PostgreSQL, MongoDB, or equivalent technologies.
• Experience using AI-native development tools like:
• Cursor
• GitHub Copilot
• Claude Code
• Strong communication skills with the ability to explain complex technical concepts clearly.

Preferred Qualifications

• Experience building AI-powered SaaS products.
• Experience in technical leadership or mentoring engineering teams.
• Experience working in client-facing consulting environments.
• Strong understanding of production AI system scalability, observability, and reliability.

What Success Looks Like

• You think beyond features and design scalable systems.
• You influence engineering teams through technical excellence.
• You bring clarity to complex technical challenges.
• You build solutions focused on long-term impact and maintainability.
• You lead through ownership, collaboration, and technical expertise.

What We Offer

• Opportunity to work on cutting-edge Generative AI and AI platform initiatives.
• Exposure to enterprise-scale AI transformation projects.
• Collaborative engineering environment with challenging technical problems.
• Learning and leadership development opportunities.

Location: Mumbai (Onsite)