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.
• 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

• Talent Call (30 mins via Zoom)
  An introductory conversation with a member of our Talent Team to learn more about your background, experience, and career goals. We'll also provide a high-level overview of Nearform and answer any questions you may have. This step helps us assess initial alignment.

• Technical Assessment (1 hour via Zoom)
  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.

• Hiring Manager Interview (45 mins via Zoom)
  A conversation with a Hiring Manager focused on your approach to teamwork, client collaboration, and problem-solving in an enterprise development setting. We'll also share more details about Nearform and the potential projects you may join.

There may also be an additional interview with the client depending on the project

Ready to Join Us?

If you're passionate about building high-quality applications, solving complex challenges, and driving innovation in enterprise development, we’d love to hear from you.

Apply now via our careers page at Nearform and be part of a team that values technical excellence, collaboration, and continuous learning.

Nearform is committed to shaping a better world in all that we do. Our global team is built based on respect, inclusivity, diversity and excellence.

If you require any adjustments to the interview process as part of your application, please let someone from our Talent Team know so they can help.

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.