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Fullstack– Software Engineer II
We're looking for a Fullstack Engineer with hands-on experience building agentic AI systems — applications where AI models plan, use tools, and take multi-step actions to complete tasks autonomously. You'll work across the stack, from designing resilient backend orchestration layers to crafting the interfaces that let users understand, guide, and trust AI agents.
You'll contribute to product direction, and help define how we build reliable, observable AI-powered products at scale.
As a Consultant, Software Engineering on the Enterprise Performance team, you will be responsible for:
Develop and maintain backend services, including REST and streaming application programming interfaces, that support real-time agent interactions
Build responsive frontend experiences that surface agent state, progress, and intermediate outputs to help users guide and trust AI agents
Collaborate with product, design, and engineering teams to build observable AI-powered products through evaluation tooling, logging, replay, code reviews, and technical design discussions
Enterprise Performance
The Enterprise Performance team leverages deep industry knowledge, strong analytical skills, and practical approaches to address clients' toughest business challenges. Our professionals as part of the Supply Chain Network Operations (SCNO) service line within Enterprise Performance focus on helping organizations achieve sustainable competitive advantage throughout their operations, spanning product development, planning, sourcing, manufacturing, logistics, and distribution. We excel at translating strategic objectives into tangible, measurable outcomes at the operational level. By aligning high-level goals with frontline execution, we ensure our clients realize real value and improved performance across every stage of their supply chain and operations.
Shift Timings: 11 AM to 8 PM or 2 PM to 11 PM IST, as per business requirements
4-7 years of experience in full-stack software engineering across frontend and backend development
- Experience developing applications using TypeScript or JavaScript
- Experience building production applications using large language model (LLM) APIs, prompt engineering, and tool or function calling
- Experience implementing agentic patterns such as ReAct, plan-and-execute, or multi-agent systems
- Experience building asynchronous or streaming systems using WebSockets, Server-Sent Events (SSE), or queues
- Experience applying distributed systems concepts including idempotency, eventual consistency, and backpressure
- Strong experience with https://jobeax.com/link/JSd7UYCSg572jJDY, https://jobeax.com/link/6WcBICn0LM558SP0, HTML5, CSS3, responsive design, and RESTful APIs
- Good programming experience in Python
- Knowledge of SQL and NoSQL databases
- Familiarity with Git, CI/CD, Docker, and cloud platforms
- Understanding of software development life cycle and Agile practices
- Experience with Model Context Protocol (MCP) or similar tool-use frameworks
Experience with large language model (LLM) evaluation frameworks such as LangSmith, Braintrust, or custom evaluation tooling
Experience with workflow orchestration platforms such as Temporal, Inngest, or Prefect
Experience building developer tools, AI-native products, or automation platforms
Contributions to open-source AI tooling
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