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Forward Deployed Engineer - AI & Agentic Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Forward Deployed Engineer - AI & Agentic Engineer (AI): Building and deploying agentic AI applications, generative AI features, RAG pipelines, and production-grade Python services for complex customer engagements with an accent on applied AI engineering, data modeling, and responsible-use controls. Focus on designing agentic workflows, integrating LLM APIs, modernizing legacy applications, and solving deployment, performance, observability, and reliability challenges.

Location: London, United Kingdom

Company

hirify.global runs and reimagines mission-critical technology systems for leading businesses, combining technology expertise with AI-powered insight and enterprise services.

What you will do

  • Translate business challenges into agentic AI applications and generative AI use cases for complex customer engagements.
  • Build and iterate agentic workflows, RAG pipelines, LLM API integrations, and reusable AI application patterns.
  • Develop production-grade Python services with FastAPI, testing, code review, CI/CD, Git, and GitHub.
  • Process unstructured data into structured knowledge and work with relational and graph databases such as Postgres and Neo4j.
  • Collaborate with platform engineering on deployment, hosting, MLOps, and LLMOps without owning the underlying infrastructure.
  • Define AI governance guardrails, instrument applications for observability, modernize legacy workflows, and troubleshoot performance and reliability issues.

Requirements

  • 5+ years of hands-on software engineering experience, including AI/ML integration and API design.
  • Strong Python and FastAPI engineering skills with sound software development lifecycle practices.
  • Hands-on experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK, or Google Agent Development Kit, plus MCP.
  • Experience building RAG and LLM-based pipelines, working with vector databases, relational and graph databases, and Docker.
  • Hands-on familiarity with AI coding copilots such as Claude, Codex, or Cursor.
  • Willingness to travel and work on customer premises as required; a relevant degree or equivalent professional experience is expected.

Nice to have

  • Experience with OpenTelemetry, Prometheus, TensorFlow, PyTorch, Hugging Face, image understanding, or OCR.
  • Working knowledge of OPA/Rego, LLM governance, data privacy, responsible-use controls, and AI guardrails.
  • Experience modernizing legacy applications into AI-enabled workflows and advising diverse enterprise stakeholders.
  • A T-shaped profile combining AI engineering expertise with broad enterprise IT and technical consulting knowledge.

Culture & Benefits

  • Flexible, hybrid-friendly culture with programs supporting financial, mental, physical, and social well-being.
  • Purposeful customer projects involving mission-critical systems and applied AI.
  • Personalized development goals, continuous feedback, coaching, and career-path support.
  • Access to certifications and learning opportunities from Microsoft, Google, and Amazon.
  • Inclusive culture centered on belonging, empathy, continuous learning, and shared success.

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