Lead AI Engineer

8 days ago

Pune, India or Hyderābād, IndiaSenior

Responsibilities

Build production-grade component features, backend microservices, API integrations, and cloud-native services.
Conduct unit testing, code reviews, refactoring, technical debt reduction, and troubleshooting of bugs, integrations, and performance issues.
Implement GenAI integration patterns, agentic workflows, intelligent automation, and reusable AI engineering frameworks.
Evaluate AI and cloud-native tools, APIs, and platforms and develop solution accelerators and technical assets.
Engage with client technical teams, propose solutions for modernization, AI integration, and cloud migration, and support pre-sales assessments, proof-of-concepts, and effort estimation.
Deploy services using containers, serverless functions, and event-driven patterns on AWS, Azure, or GCP.
Mentor junior engineers and contribute to internal knowledge sharing, documentation, and architecture discussions.

Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical field.
Five to eight years of hands-on software engineering experience, including three or more years as a Senior AI Engineer.
Strong hands-on proficiency in Python and/or .NET, C#, ASP.NET Core, Java, or Node.js.
Practical experience with GenAI APIs, LangChain, LlamaIndex, RAG patterns, or agentic workflow frameworks.
Hands-on experience with AWS, Azure, or GCP; microservices; Docker; Kubernetes; and CI/CD tooling such as GitHub Actions or Azure DevOps.
Experience building and delivering enterprise-grade solutions across cloud, AI/ML, and application engineering.
Exposure to workflow orchestration engines, RPA tools, or custom automation scripts.
Client-facing delivery experience in IT services or consulting organizations is preferred.
Familiarity with Oracle, SAP, Salesforce, or ServiceNow is a plus.
Cloud certification at the AWS, Azure, or GCP associate/developer level is a plus.
Clear technical communication, collaboration across global or offshore time zones, and self-directed exploration of AI tools and engineering patterns.

1,001-5,000 employees