Forward Deployed Engineer
Job description
Forward Deployed Engineer at Nearform who builds, implements and deploys agentic AI platforms within client environments, working closely with client stakeholders and delivery teams.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Hybrid
What you'll do
- Build, implement and deploy agentic platforms within client environments
- Build and deploy scalable AI-driven solutions enabling organisations to operationalise LLM-powered agents across products, processes and teams
- Work closely with client stakeholders, technical leaders and delivery teams to build and roll out agentic capabilities that integrate with existing enterprise systems and frameworks
- Plan, execute and deliver complex client engagements
What we're looking for
- Significant experience delivering at a Senior Engineer level (typically at least 8 years of commercial experience)
- Experience designing and building agentic platforms using Python and modern AI frameworks
- Ability to architect LLM orchestration using frameworks such as LangGraph, CrewAI, AutoGen and related technologies
- Ability to implement multi-agent systems supporting tool use, workflow orchestration, memory and decision-making
- Ability to design and deploy Retrieval-Augmented Generation (RAG) pipelines integrating enterprise data sources
- Ability to integrate agentic platforms with client systems, including APIs, data platforms, cloud services and enterprise applications
- Ability to configure Kubernetes and deploy workloads
- Ability to design deployment architectures across cloud, on-premise and hybrid environments
- Ability to collaborate efficiently in teams of technical and non-technical individuals
- Comfort working in a dynamic environment with evolving objectives and direct iteration with users
- Strong consulting experience to plan, execute and deliver complex client engagements, solving real business problems
Benefits
Remote Working Allowance - budget of up to €1250 (equivalent in GBP) every 2 years to set up a workspace, in addition to essential equipment provided by Nearform
- Annual Company Bonus - share of the profits on an annual basis in line with company performance
- Work Remotely and Flexibly - flexible working culture
- Paid Time Off Package - 25 days annual leave plus public holidays, sick leave, marriage leave and more
- Training and Development Allowance - up to €1000 (equivalent in GBP) to upskill
- Healthcare - additional private healthcare
- Pension & Insurances - pension match of up to 5%, Income Protection and Death in Service
How to get hired
- 1Talent Call (30 mins via Zoom)
- 2Technical Assessment (1 hour via Zoom) - live coding challenge demonstrating Python expertise, problem-solving ability and coding best practices
- 3Hiring Manager Interview (45 mins via Zoom)
- 4There may also be an additional interview with the client depending on the project
Apply
Direct apply at Nearform
Opens the job posting at Nearform
About Nearform
An independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace
Nearform is an independent team of data & AI experts, engineers, and designers who build intelligent digital solutions and capability at pace. We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results. We partner with ambitious enterprises to deliver enduring impact. Our deep expertise in solving the world's most complex digital problems, along with our collaborative, people-first approach, enables enterprises to build breakthrough products and modernise legacy systems by unleashing the power of AI.
Mission
We create AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results.
Key facts
- 500 experts
- Team of 500 experts in 20+ countries
- Trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart
Partners & customers
What they value
- Respect
- Inclusivity
- Diversity
- Excellence
- Collaboration
- Continuous learning
