обновлено 8 дней назад
Forward Deployed Engineer - AI & Agentic Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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