Associate Tech Specialist / Tech Specialist - Fullstack with AI

Harbinger Systems · Pune

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Last observed by our collector: 8 October 2026 at 11:28 pm IST. This is not a manual review or a confirmation from the employer.

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Collected role description

Position: - Full Stack Developer with AI (Associate Tech Specialist / Tech Specialist)Experience- 5 to 8 YearsLocation- Pune (Hybrid)/ Remote ROLE OVERVIEWClient builds products that combine a modern component-based front end, a large and mature server-side JavaScript backend, and a growing suite of AI agent services. We're looking for an Associate Tech Specialist / Tech Specialist with 5+ years of experience who can move comfortably across this stack: building responsive, component-driven UIs, extending backend services and data models, and contributing to LangGraph-based agent workflows that call Claude models through AWS Bedrock.This role suits specialist who thinks in components and state, is equally at home in older prototype-based JavaScript as in modern TypeScript, and has genuine hands-on experience building agentic AI features — not just calling a model API. You'll also be expected to use AI coding agents (like Claude Code) as part of your own workflow, while still owning, reviewing, and defending every line you ship. KEY RESPONSIBILITIES<ul style="margin-top:0cm;" type="disc"> <li class="MsoListParagraph" style="margin-left:0cm;">Design, build, and maintain responsive front-end components using Lit (or equivalent modern component frameworks), including work that crosses Shadow DOM boundaries.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Develop and extend backend services written in server-side ES5 JavaScript, alongside newer TypeScript and Python services.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Build and consume REST APIs, including authentication and role-based access control (Basic Auth, OAuth, JWT).</li> <li class="MsoListParagraph" style="margin-left:0cm;">Model and query relational data, with attention to schema design, joins, and query performance.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Contribute to AI agent services built on LangGraph, including graph design, state management, and checkpointing.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Extend and debug Python/FastAPI services with typed, async code and Pydantic models.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Write and maintain end-to-end and API tests with Playwright (or Cypress/Selenium), including per-role permission checks.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Participate in code review, Git branching/rebasing at team scale, and diagnosing GitHub Actions workflow failures.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Bring up, debug, and operate local environments using Docker Compose.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Use AI coding agents (e.g., Claude Code) responsibly — scoping tasks clearly, reviewing generated output critically, and owning the final result.</li> </ul> REQUIRED SKILLS & EXPERIENCEMANDATORY<ul><li>HR domain knowledge and experience is mandatory and NOT preferred.</li><li>Technical requirement - Strong Full Stack Development experience is mandatory</li><li>AI Agentic experience - Good to have, but not mandatory</li></ul>FRONTEND<ul style="margin-top:0cm;" type="disc"> <li class="MsoListParagraph" style="margin-left:0cm;">JavaScript (ES6+) and TypeScript — strong in both.</li> <li class="MsoListParagraph" style="margin-left:0cm;">HTML and CSS/SCSS, including responsive layout and how styling crosses a Shadow DOM boundary.</li> <li class="MsoListParagraph" style="margin-left:0cm;">A modern component framework — Lit ideally, or solid React experience; what matters most is thinking in components, props, and state.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Web components — custom elements, Shadow DOM, reactive properties (direct experience is a plus, not a gate).</li> <li class="MsoListParagraph" style="margin-left:0cm;">Browser fundamentals — ES modules, fetch, DevTools, and basic CSP debugging.</li> </ul>BACKEND<ul style="margin-top:0cm;" type="disc"> <li class="MsoListParagraph" style="margin-left:0cm;">Server-side JavaScript in ES5 — prototype-based classes, no async/await; this is the largest body of code in the codebase.</li> <li class="MsoListParagraph" style="margin-left:0cm;">REST APIs — building and consuming them, with authentication.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Relational data modelling — tables, references, joins, and query performance.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Access control — roles and permissions, Basic Auth / OAuth / JWT; a first-class concern in these applications.</li><li class="MsoListParagraph" style="margin-left:0cm;">Git at team scale — branches, rebasing, PR review, and resolving real conflicts.</li><li class="MsoListParagraph" style="margin-left:0cm;">GitHub Actions — enough to read a workflow and diagnose a failure.</li> </ul>AI AGENT SERVICES<ul style="margin-top:0cm;" type="disc"> <li class="MsoListParagraph" style="margin-left:0cm;">LangGraph — our agent services are built on it: graphs, state, and checkpointing. LangChain or a comparable orchestration library transfers; what matters is having built something agentic, not just called a model.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Python with FastAPI — typed, async, Pydantic models; enough to extend and debug a service, not necessarily own the whole stack.</li> <li class="MsoListParagraph" style="margin-left:0cm;">LLM application basics — prompts, tool calling, structured output, and handling cases where the model returns something unusable.</li> <li class="MsoListParagraph" style="margin-left:0cm;">AWS Bedrock — we call Claude models through it; Anthropic or OpenAI API experience transfers.</li> </ul>NICE TO HAVE<ul style="margin-top:0cm;" type="disc"> <li class="MsoListParagraph" style="margin-left:0cm;">Testing & Delivery: Playwright (or Cypress / Selenium) — writing both API and end-to-end tests, including per-role permission checks.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Docker Compose — bring up and debug a local stack (up, logs, exec); no Dockerfile authoring needed.</li></ul><ul style="margin-top:0cm;" type="disc"> <li class="MsoListParagraph" style="margin-left:0cm;">Working with CLAUDE</li><li class="MsoListParagraph" style="margin-left:0cm;">Has used an AI coding agent on real work — Claude Code or similar.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Reviews what it writes — can describe a time it was confidently wrong and how they caught it.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Scopes and contextualizes tasks rather than asking for whole features in one go.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Owns the output — can explain and defend every line they submit.</li></ul><ul style="margin-top:0cm;" type="disc"> <li class="MsoListParagraph" style="margin-left:0cm;">AngularJS 1.x — our Lit components mount inside AngularJS portal widgets; optional, but rare and hard to teach, so a real bonus. (Not the same as modern Angular.)</li> <li class="MsoListParagraph" style="margin-left:0cm;">ServiceNow — scoped apps, Service Portal, Glide APIs, Fluent SDK.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Python for deployment and provisioning scripts.</li> <li class="MsoListParagraph" style="margin-left:0cm;">Postgres, Redis, OpenSearch; RAG or agent-evaluation experience.</li> </ul>

Collected experience requirement

5 - 10 Years