Forward Deployed Engineer - AI & Agentic Engineer

Description

The company runs and redesigns mission-critical technology systems for major businesses around the world.

This Band 8 Forward Deployed Engineer role focuses on AI and agentic engineering, working as part of a team alongside platform engineers.

Responsibilities

• Own delivery of AI applications on complex customer projects, including agentic systems and generative AI features that move into production alongside platform engineers.
• Turn business problems into technical designs, then build and refine AI applications.
• Stay accountable for how your work holds up once people use it every day.
• Work with significant independence, applying deep knowledge of agentic AI architecture and software engineering to balance rigour with business value.
• Use current AI development tools and sound engineering practice across the whole delivery cycle.
• Expect to draw on different duties per project, since not every item applies to each one.
• Turn business problems into agentic AI and generative AI use cases.
• Build agentic workflows and their frameworks, RAG pipelines, and LLM API integrations.
• Convert unstructured data into compact structured knowledge, including ontology extraction.
• Write production Python services in FastAPI, covering design, testing, code review, and CI/CD.
• Model and serve data for AI applications in relational and graph databases such as Postgres and Neo4j.
• Work with platform engineering on hosting and MLOps/LLMOps without owning that infrastructure yourself.
• Set AI governance and responsible-use guardrails, including data privacy limits and policy enforcement with OPA/Rego.
• Add observability to AI applications using OpenTelemetry and Prometheus.
• Guide clients through legacy modernisation into AI-enabled workflows, fixing performance and reliability issues along the way.
• Record deployment lessons and share best practice to shape core AI platform frameworks.
• Contribute code, reusable agentic patterns, and feedback to core platform teams.

Requirements

• You do not need to meet every item below to apply; the list reflects the breadth of the role, not a strict checklist.
• Required: 5+ years of hands-on software engineering experience, with some exposure to AI/ML integration and API design.
• Required: strong Python engineering with FastAPI, and solid SDLC practice including design, testing, code review, CI/CD, Git, and GitHub.
• Required: hands-on work with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI's Agents SDK, or Google's Agent Development Kit, plus MCP (Model Context Protocol).
• Required: practical experience building RAG or LLM-based pipelines and working with vector databases.
• Required: experience with relational and graph databases (e.g. Postgres, Neo4j) and Docker for building and running AI applications.
• Required: hands-on familiarity with modern AI coding copilots such as Claude, Codex, or Cursor.
• Preferred: observability instrumentation for AI systems using OpenTelemetry and Prometheus.
• Preferred: experience with AI/ML frameworks such as TensorFlow and PyTorch, and the Hugging Face and open-source AI ecosystem.
• Preferred: experience with image understanding and OCR.
• Preferred: working knowledge of policy-as-code (OPA/Rego) for AI governance and guardrails.
• Preferred: understanding of LLM governance, covering data privacy, guardrails, and responsible-use controls.
• Preferred: experience guiding clients through legacy application modernisation into AI-enabled workflows.
• Preferred: T-shaped profile, with solid AI engineering expertise and broad understanding of enterprise IT and technical consulting.
• Preferred: ability to act as a trusted advisor, turning business requirements into technical roadmaps for diverse stakeholders.
• Preferred: willingness to travel and work on customer premises as required.
• Preferred: degree in Computer Science, Informatics, Data Science, Engineering, Physics, Mathematics, or a related discipline, or equivalent professional experience.

Conditions

Hybrid-friendly work setup.

The company welcomes people of all cultures, backgrounds, and experiences, and encourages you to apply even if you do not meet every requirement.

Benefits

• Be Well programs supporting financial, mental, physical, and social health.
• Tools to plan your career path, personal development goals, and regular feedback.
• Learning opportunities including certifications with Microsoft, Google, and Amazon, plus coaching and hands-on experience.