Sr. Full Stack Engineer with AI

Position: Sr. Full Stack Engineer with AI

Location: Viman Nagar, Pune, MH - Hybrid

Start Date:ASAP (30-60 day notice period is max...ideally sooner)

Shift Time: 4:30 pm to 1:30 am IST

Note:Must have at least 8 years of total experience - Need an engineer who can handle both frontend and backend development

Job Description:

We are looking for a Full-Stack Developer to build production-ready, goal-driven AI agents that reduce the administrative and digital workload placed on technicians, along with the technician-facing interface people use to work with them.

This is not a traditional data science or LLM experimentation role. The ideal candidate is a hands-on AI engineer who has built agents that reason toward a goal, interact with applications and APIs, take actions, and run reliably in production.

Strong full-stack skills matter equally. You will build both the AI and agent capabilities and the front-end experience that lets technicians review, approve, and act on what the agents do.

What You'll Be Doing

AI agents

• Design, build, and enhance goal-driven AI agents that take real-world digital actions.
• Turn an initial proof of concept into a production-ready agentic solution.
• Build workflows where agents complete multi-step tasks independently, with human approval when required.
• Work with Anthropic's enterprise Claude platform to develop and enhance AI capabilities.

Front end

• Build intuitive, technician-facing interfaces, not just back-end AI functionality.
• Turn design specifications and Figma prototypes into responsive, accessible UI components.
• Show agent activity, status, and approval requests clearly, so technicians stay in control.

Back end and integration

• Develop integrations between AI agents and enterprise systems through APIs.
• Use Python and Java for AI, automation, integration, and application development.
• Partner with colleagues focused on AI engineering, Snowflake and data engineering, and ServiceNow.

Architecture and quality

• Help decide the right architecture and technical approach as the project evolves, rather than implementing predefined features.
• Build for production readiness, scalability, reliability, security, and maintainability.

Required Qualifications

AI engineering

• Strong hands-on AI engineering experience, with agents that have moved beyond experimentation or basic LLM usage into production.
• Strong understanding of agentic AI concepts and terminology.
• Experience building solutions where agents reason, work toward goals, invoke tools or APIs, and take actions.
• Understanding of LLMs and modern generative AI architectures, plus solid data science fundamentals.

Front end (required)

• Hands-on experience building user-facing applications with React and TypeScript, including Next.js or a similar framework.
• Strong HTML5, CSS3, and modern JavaScript (ES6+), including responsive layouts with Flexbox and Grid.
• Experience with a utility or component styling approach such as Tailwind CSS.
• Ability to turn Figma designs into pixel-accurate, accessible, cross-browser interfaces.
• Experience consuming REST APIs and managing client-side state, loading states, and error handling.

Back end and integration

• Strong full-stack software development experience across back-end and user-facing development.
• Strong Python and Java knowledge, and an understanding of how Python applies to AI-driven solutions.
• Experience designing, developing, and consuming APIs.

Working style

• Comfortable in an evolving environment where requirements and technical approaches change as the team learns.
• Strong communication skills, able to discuss technical decisions, trade-offs, and the future of AI with both technical and business stakeholders.

Nice to Have

• Experience with Anthropic's Claude platform, Model Context Protocol (MCP), RAG, or workflow tools such as n8n.
• Familiarity with Snowflake or other data platforms, and with ServiceNow integrations.
• Experience with Node.js, GraphQL, or Django alongside Python and Java.
• Cloud and delivery experience: AWS, Docker, CI/CD, and automated testing such as Cypress or Jest.
• Experience designing human-in-the-loop approval flows for AI-driven actions.