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3 дня назад

GenAI Engineer / AI Agent Engineer (AI Foundry & Copilot Studio)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
GenAI Engineer / AI Agent Engineer (AI Foundry & Copilot Studio): Building and deploying AI agents and RAG pipelines for enterprise business problems with an accent on tool calling, planning, memory, guardrails, and enterprise knowledge integration. Focus on designing production-ready evaluation and observability frameworks, integrating APIs and databases, and ensuring security, compliance, and governance.

Location: Mumbai, India; in-person collaboration is prioritized

Company

hirify.global is hiring an engineer to build enterprise GenAI agents and workflows.

What you will do

  • Design, build, and deploy AI agents with AI Foundry and Copilot Studio for business use cases.
  • Implement tool and function calling, multi-step planning, task decomposition, memory, guardrails, structured outputs, approval loops, and human-in-the-loop escalation.
  • Build and optimize RAG pipelines covering document ingestion, chunking, embeddings, vector search, reranking, grounding, citations, and source traceability.
  • Integrate agents with REST APIs, databases, microservices, message queues, internal tools, and event-driven services.
  • Create GenAI evaluation frameworks, regression tests, observability, agent tracing, tool-call logging, and latency and cost metrics.
  • Apply access controls, secrets management, PII handling, auditability, security, compliance, and governance practices.

Requirements

  • 3–5 years of software engineering experience with Python, Java, TypeScript, or a similar language, including production deployments.
  • Hands-on experience building and deploying AI agents and workflows in AI Foundry and Copilot Studio.
  • Strong knowledge of LLMs, prompt engineering, system prompts, structured JSON outputs, function calling, and safety patterns.
  • Solid experience with RAG, embeddings, vector databases or search, chunking, reranking, and grounding techniques.
  • Experience integrating GenAI solutions with REST APIs, microservices, message queues, and databases.
  • Knowledge of unit and integration testing, CI/CD, code reviews, documentation, containerization, monitoring, and performance optimization.

Nice to have

  • Experience with LangGraph, LangChain, Semantic Kernel, or AutoGen-style orchestration.
  • Experience with Azure OpenAI, OpenAI, or open-source model deployment patterns.
  • Exposure to enterprise AI governance and compliance, including data classification, audit logging, and model risk management.

Culture & Benefits

  • Work model prioritizes in-person collaboration while offering flexibility for wellbeing, productivity, individual work styles, and life circumstances.
  • Inclusive environment focused on strong connections and community.

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