Forward Deployed Engineer
US$150,000 – US$180,000 / yr base salary
Posted 4 Feb 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
- Visa sponsorship
- Not offered
| Base salary | US$150,000 – US$180,000 / yr |
|---|
This is a full-time, permanent opportunity for candidates based in the United States and authorized to work without sponsorship. Please note that visa sponsorship is not available for this role.
This position also requires traveling to client sites within the U.S., with travel expenses covered by the company.
About Nearform
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. In these ways, 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.
Today, our team of 500 experts in 20+ countries is trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media 02, and Walmart.
About the role
As a Forward Deployed Engineer, you will help build, implement, and deploy agentic platforms within client environments. Your role will focus on building and deploying scalable AI-driven solutions, enabling organisations to operationalise LLM-powered agents across products, processes, and teams. You will work closely with client stakeholders, technical leaders, and delivery teams to build, and roll out agentic capabilities that integrate seamlessly with existing enterprise systems and frameworks.
What we are looking for in this person:
- Significant experience delivering at a Senior Engineer level. Our Seniors typically have at least 8 years of commercial experience.
- Experience designing and building agentic platforms using Python and modern AI frameworks.
- Architect LLM orchestration using frameworks such as LangGraph, CrewAI, AutoGen, and related technologies.
- Implement multi-agent systems supporting tool use, workflow orchestration, memory, and decision-making.
- Design and deploy Retrieval-Augmented Generation (RAG) pipelines integrating enterprise data sources.
- Integrate agentic platforms with client systems, including APIs, data platforms, cloud services, and enterprise applications.
- The ability to configure Kubernetes and deploy workloads.
- Design deployment architectures across cloud, on-premise, and hybrid environments.