Senior AI Engineer

14 days ago

Pune, India or Hyderābād, IndiaMid Level / Senior

Responsibilities

Build production-grade component features, backend microservices, API integrations, and cloud-native services.
Develop and deploy services using AWS, Azure, or GCP with Docker, Kubernetes, serverless functions, and event-driven patterns.
Integrate GenAI capabilities, agentic workflows, intelligent automation, and AI-driven pipelines.
Conduct code reviews, write unit tests, refactor code, resolve technical debt, and troubleshoot bugs, integration issues, and performance bottlenecks.
Contribute to AI engineering frameworks, solution accelerators, reusable technical assets, and architecture discussions.
Evaluate new AI and cloud-native tools, APIs, and platforms.
Engage with client technical teams to understand system landscapes, integration requirements, and constraints.
Support solution and principal architects with technical assessments, proof-of-concept design, effort estimation, and pre-sales activities.
Mentor junior engineers and contribute to the internal engineering community through documentation and knowledge sharing.

Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical field.
4–6 years of hands-on software engineering experience, including 2+ 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, retrieval-augmented generation patterns, or agentic workflow frameworks.
Hands-on experience with AWS, Azure, or GCP, microservices, Docker, Kubernetes, and CI/CD pipelines.
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.
Associate- or developer-level AWS, Azure, or GCP certification is a plus.
Clear technical communication, collaboration across global or offshore time zones, curiosity, and self-motivation.

1,001-5,000 employees