Software Development, AI Engineer (Applied​/Software), Backend Developer

Piscataway, United States | Posted on 09/03/2026

We are a technology services company focused on data, analytics and intelligent robotic processes.

• Design, build and harden agentic AI applications that read from and write to enterprise systems of record, grounded on Microsoft Fabric and Azure AI services.
• Embed with a Corporate Function team as the technical lead of a small, multi-functional pod — moving from problem, to prototype,to production at pace.
• Run a tight, iterative build cycle: align on the outcome, prototype, gather feedback, refine and finalise, typically withinone to two weeks per loop.
• Own the quality of what you ship end to end —
  security,reliability, scalability, observability, and safe, governed write-back tosource systems
  .
• Make the right build call for the problem: low-code andagent-builder platforms where they fit, custom code where they do not.
• Ensure the data behind each solution is AI-ready —modelled, governed and documented in Fabric, with lineage and access control that will stand up to audit.
• Set and document the reusable technical patterns,components and guardrails the team applies across every engagement.
• Become credible in a new business domain quickly, and challenge requirements constructively to land on the right solution rather than the requested one.

• Proven experience building agentic or multi-agent AIsystems that run in production and serve real users — working systems, notdemonstrations.
• Strong command of state management, concurrency,idempotency and authorisation for systems that act on a system of recordon behalf of many users.
• Hands-on integration experience with enterprise APIsand data platforms
  , including designing safe read and write paths and handling failure gracefully.
• Working knowledge of modern AI application patterns —retrieval-augmented generation, prompt and context design, agentorchestration, tool use and protocols such as MCP.
• Strong, hands-on command of a major cloud platform,ideally Azure — able to independently provision, configure, deploy, secureand operate cloud resources, owning an application end to end rather thanonly consuming pre-built services.
• Demonstrated ability to prototype rapidly, usingAI-assisted development and fast iteration to turn a loosely defined ideainto something usable in days.
• The judgement and autonomy of a senior individual contributor — able to make sound architecture and feasibility calls alone,under time pressure, and explain them to non-technical stakeholders.