Forward Deployed Engineer (Customer-Facing / AI Solutions)

The Role

We are looking for a Forward Deployed Engineer to work directly with enterprise customers and turn their business needs into practical AI-powered solutions.

This is not a purely coding role. You will work at the intersection of engineering, solution architecture, pre-sales, and customer delivery, spending a significant part of your time directly with customers.

You will work with enterprise teams to understand their workflows and business challenges, identify use cases where AI agents can create value, design the solution, integrate it with existing enterprise systems, and support deployment into production.

The role requires strong technical foundations, but equally important are communication, customer-facing skills, problem solving, and the ability to work with unclear requirements.

What You’ll Do

• Work directly with enterprise customers to understand their business processes, technical environment, and operational challenges.
• Identify and design practical AI-agent use cases for enterprise environments.
• Translate business requirements into solution architecture and technical implementation plans.
• Design integrations with enterprise systems such as CRM, ERP, databases, telephony platforms, APIs, and other internal tools.
• Build and deploy customer solutions using the company’s AI platform and supporting technologies.
• Lead customer projects from discovery and solution design through implementation, deployment, and improvement.
• Work with real production data and measure whether deployed solutions deliver the expected business results.
• Collaborate with Product and Engineering teams to solve customer-specific technical challenges and improve the core platform.
• Participate in on-site customer deployments and travel when required.

What We’re Looking For

• 5+ years of software engineering, solution engineering, or other relevant technical experience.
• Strong understanding of software architecture, system design, APIs, integrations, databases, and data flows.
• Strong customer-facing and pre-sales skills — this is a key requirement.
• Ability to communicate with both technical and non-technical stakeholders.
• Experience working with complex enterprise environments and integrating different systems.
• Ability to understand an unclear business problem, structure it, and design a practical technical solution.
• Strong ownership and ability to independently drive customer projects.
• Experience with at least one major cloud platform. AWS or Azure preferred.
• Strong English communication skills.
• Willingness to travel and work on-site with customers when needed.

Technology

The specific programming language is not a hard requirement. Experience with Python or TypeScript is preferred, but strong engineers coming from Java, Go, Node.js, or similar backend technologies can also be considered.

This role is more about solution design, integrations, customer understanding, and delivery than writing code in one specific language.

Strong Plus

• Hands-on experience with OpenAI, Anthropic, or other LLM platforms.
• Experience with AI agents, RAG, tool calling, prompt engineering, or LLM evaluations.
• Experience building conversational AI or workflow automation solutions.
• Previous experience as a Forward Deployed Engineer, Solutions Engineer, Solutions Architect, Technical Consultant, Pre-Sales Engineer, or customer-facing Senior Engineer.
• Experience deploying solutions in complex enterprise environments.

Commercial AI-agent experience is not mandatory if you have strong technical foundations, enterprise integration experience, excellent customer-facing/pre-sales skills, and the ability to quickly learn AI technologies.

Customer Interaction

This is a highly customer-facing position. Depending on the project, approximately 50–100% of the role may involve direct interaction with customers, including discovery sessions, solution design, implementation support, and on-site deployment.

Location

We are currently considering candidates based in:

Georgia, Azerbaijan, Uzbekistan, and Kazakhstan.

Travel and on-site customer work are required.