Forward Deployed Engineer

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 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.
• 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.

Nice to have:

• Hands-on experience working with Golang
• Hands-on experience in the Frontend working with React
• Deep understanding of Kubernetes

Benefits & Perks:

• Annual Company Bonus - We all help Nearform to hit company goals so we all receive a share of the profits on an annual basis in line with company performance.
• Work Remotely and Flexibly - We have a genuine dedication to work/life balance. Our flexible working culture allows you to work around what matters - school run, no problem!
• Flexible Time Off Package - We offer a flexible annual leave policy plus public holidays. We also offer sick leave, marriage leave and many more.
• Remote Working Allowance - Every 2 years, you will have a budget of up to €1250 (equivalent in USD) to help you set up a comfortable and productive workspace in addition to your essential equipment provided by Nearform when you join.
• Training and Development Allowance - Nearform is committed to supporting and investing in employees’ ongoing learning and professional development. You will be encouraged to pursue relevant learning opportunities that support your growth and the growth of others, subject to manager approval.
• Healthcare - It’s important to always take care of your health, so we offer additional private healthcare here at Nearform. If you wish to learn more about the plan offered feel free to reach out to our team.
• 401k - We offer a 401k plan and match up to 4%, with no minimum entry requirements and immediate vesting of employers’ contributions.

Our Interview Process

A live coding challenge with one of our trained interviewers. You'll be asked to build a working solution to a problem via screen sharing, demonstrating your Python expertise, problem-solving ability, and coding best practices in a real-time environment.

Ready to Join Us?

Our salary range is $150,000 - 180,000 + bonus & benefits. Further details will be discussed in the initial interview, and final compensation will be determined based on skills, experience, and other job-related factors discussed during the interview process.