Forward Deployed Engineer

Department: Engineering

Employment Type: Full Time

Location: Manchester, Greater Manchester, UK, Remote

Key Responsibilities

• You’ll lead customers through the full implementation lifecycle - supporting technical scoping during pre-sales with the Senior Solutions Consultant, through onboarding and production rollout.
• You’ll help define what’s feasible, estimate effort, identify risks early, and then own delivery once the engagement starts.

• A growing number of customers want to use our graph inside agentic systems. You’ll help design and implement architectures around graph RAG, MCP, retrieval systems, and APIs for agentic use cases.

• You’ll partner with the Senior Solutions Consultant during the requirements and proposal stages to validate technical feasibility and shape realistic implementation plans.
• The Senior Solutions Consultant owns qualification and the commercial process; you help determine what can actually be delivered and what it will take.

• You’ll identify reusable components, recurring integration patterns, and capabilities that belong in the core product rather than custom delivery work.

• Outside of customer delivery, you’ll work alongside the wider engineering team on the core data and ML platform.

Skills, Knowledge and Expertise

• Proven experience deploying NLP systems or LLM-powered features into production
• Familiarity with recommendation and retrieval systems, retrieval-augmented generation (RAG) and vector databases. 
• Practical experience building or debugging LLM-driven workflows, with opinions grounded in experience of production workflows. 
• Demonstrable experience designing and running model evaluation and monitoring frameworks; offline metrics, online performance tracking 
• Hands-on experience fine-tuning transformer-based models for domain- or task-specific use cases, including data preparation, training, and validation. 
• Proven track record of building evaluation datasets or benchmarks from scratch - task design, annotation guidelines, quality control, and interannotator agreement. 

• Comfortable moving between different architectural approaches for storing and accessing the data we produce. Able to articulate the trade-offs involved - OLAP vs transactional systems, warehouses vs distributed compute, when to create different kinds of search indices.
• Experience building MCP servers and developing APIs with a focus on ease of LLM integration.
• Experience with graph databases - Neo4J preferred as this is commonly used by our customers, but experience with other databases is still valuable. 
• Experience managing schema evolution in production - handling downstream breakages, contract changes, and backwards-compatible migrations.
• Hands-on experience building or maintaining dbt projects (or equivalent transformation tooling), including modelling, testing, documentation, and CI. 
• Experience working with distributed compute systems such as Spark or Beam to process large-scale datasets in production. 
• Experience running production orchestration systems such as Airflow, Dagster, or Prefect - authoring DAGs, handling failures, and managing dependencies. 
• Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)

• Ability to communicate effectively with both highly technical customer groups and internally
• High personal quality standards, bringing positive energy and able to thrive with ambiguity in a scale up environment

Benefits

• Genuine Flexibility: We are a fully remote business with colleagues across the globe: manage your schedule, save time and money on commuting, and do your best work from the comfort of your home.
• Cutting-Edge Technology: You’ll work with the latest software tools and technologies; we’ll push you to genuinely be innovative and find new ways to solve the newest challenges.