3 дня назад
GenAI Engineer / AI Agent Engineer (AI Foundry & Copilot Studio)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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