Deploy experienced AI engineers who work alongside your team to build, integrate, and productionize AI solutions across your existing technology stack from LLM applications and agentic workflows to enterprise systems and infrastructure. From understanding business requirements and technical constraints to supporting secure deployment and real-world adoption, our FDEs bring hands-on engineering expertise directly into your team.


Our Forward Deployed Engineers work across modern AI, software, cloud, data, and enterprise technologies adapting their expertise to your existing development environment and technology stack.






































Our AI Forward Deployed Engineers integrate AI into your existing environment, connecting models, agents, data, business applications, APIs, and infrastructure while maintaining security, access, governance, and human oversight.
Orchestrate models and agents to support real-world enterprise processes and use cases.
Get the expertise you need across AI, software, cloud, data, and solution engineering.

Brings strong AI engineering capabilities to client projects, helping teams turn complex requirements into practical AI solutions and supporting their implementation in production environments.

Contributes to client engagements through hands-on development and implementation, helping build practical solutions aligned with project requirements and technical environments.
Brings strong AI engineering capabilities to client projects, helping teams turn complex requirements into practical AI solutions and supporting their implementation in production environments.
Skills: AI Engineering, Generative AI, LLM Applications, RAG, AI Agents, Machine Learning, Python, Cloud Deployment, AI Evaluation, System Integration
Contributes to client engagements through hands-on development and implementation, helping build practical solutions aligned with project requirements and technical environments.
Skills: Technical Discovery, Solution Design, System Integration, API Integration, Workflow Automation, Technical Delivery, Production Support, Cloud Deployment, Software Engineering, Customer Collaboration

Building AI capabilities internally requires more than adding headcount. Teams need specialized AI expertise, technical ramp-up, enterprise context, and the ability to turn evolving requirements into production systems. Our Forward Deployed Engineers bring that expertise directly into your team and work within your existing environment.
Our AI Forward Deployed Engineers bridge the gap between AI innovation and enterprise execution, bringing the engineering expertise needed to design, build, integrate, and operationalize AI solutions around your business requirements.
Our AI Forward Deployed Engineers bridge the gap between AI innovation and enterprise execution, bringing the engineering expertise needed to design, build, integrate, and operationalize AI solutions around your business requirements.

Build production-ready AI applications with LLMs, structured outputs, embeddings, RAG, document intelligence, and evaluation.

Develop AI Agents with tool use, orchestration, MCP, multi-agent workflows, guardrails, and human-in-the-loop controls.

Engineer the application layer around AI with APIs, backend services, databases, scalable architectures, and production-grade code.

Take AI systems from development to production with cloud infrastructure, containers, CI/CD, model serving, monitoring, and observability.

Connect AI with enterprise data, APIs, business applications, authentication systems, and existing technology environments.

Translate business requirements into technical solutions through discovery, scoping, architecture, implementation, adoption, and knowledge transfer.

Build production-ready AI applications with LLMs, structured outputs, embeddings, RAG, document intelligence, and evaluation.
Develop AI Agents with tool use, orchestration, MCP, multi-agent workflows, guardrails, and human-in-the-loop controls.
Engineer the application layer around AI with APIs, backend services, databases, scalable architectures, and production-grade code.
Take AI systems from development to production with cloud infrastructure, containers, CI/CD, model serving, monitoring, and observability.
Connect AI with enterprise data, APIs, business applications, authentication systems, and existing technology environments.
Translate business requirements into technical solutions through discovery, scoping, architecture, implementation, adoption, and knowledge transfer.

Our Forward Deployed Engineers integrate into your existing team and ways of working, contributing across the AI development lifecycle while adapting to your technology, processes, and business requirements.
Work directly with your business and technical stakeholders to understand requirements, workflows, priorities, data, and technical constraints.
Translate requirements into practical solutions, contributing to architecture, AI engineering, software development, and technical implementation.
Work with your engineering, product, data, and IT teams to connect the solution with existing systems, APIs, data, and workflows.
Help prepare solutions for real-world use by addressing performance, reliability, security, compliance, access, monitoring, and operational requirements.
Continue working with your team to troubleshoot, optimize, share knowledge, and adapt the solution as business and technical requirements evolve.
Embedded in your team. Aligned with your goals. Built around your environment.

Get the right engineering expertise through a simple process built around your project, team, and hiring needs.
Tell us about your project, goals, timeline, team structure, and required expertise. We review your needs to understand the right fit.
Review relevant Forward Deployed Engineer profiles and schedule an interview at a time that works for you. Discuss their experience, your project, and expectations.
Select the engineer who best matches your requirements. Finalize responsibilities, engagement model, timeline, and start date.
Once the fit is confirmed, we finalize the engagement details and get your engineer ready to join your team based on your preferred start date.
Add expertise, adjust team capacity, or extend the engagement as your project and business needs evolve.
Tell us about your project, goals, timeline, team structure, and required expertise. We review your needs to understand the right fit.
Review relevant Forward Deployed Engineer profiles and schedule an interview at a time that works for you. Discuss their experience, your project, and expectations.
Select the engineer who best matches your requirements. Finalize responsibilities, engagement model, timeline, and start date.
Once the fit is confirmed, we finalize the engagement details and get your engineer ready to join your team based on your preferred start date.
Add expertise, adjust team capacity, or extend the engagement as your project and business needs evolve.
Explore how Starling Elevate applies forward deployed engineering services to solve real business challenges and deliver practical, customer-focused solutions.
Streamline property discovery and sales support while helping teams respond to customer needs more effectively.
Built an AI-powered sales assistant for lead qualification, property recommendations, and sales workflows.

Challenge: Streamline property discovery and sales support while helping teams respond to customer needs more effectively.
Solution: Built an AI-powered sales assistant for lead qualification, property recommendations, and sales workflows.
Outcome: Faster customer responses, improved lead engagement, and more efficient sales operations.
View Real Estate Sales Assistant Case StudyChallenge: Simplify complex healthcare workflows while creating a more connected experience for patients and providers.
Solution: Developed an AI-powered digital platform connecting patient engagement, registration, appointments, communication, and provider workflows.
Outcome: A more streamlined healthcare experience with improved workflow efficiency and easier access to services.
View AI Digital Front Door Platform for Healthcare Case Study
Add specialized AI and software engineering expertise to your team without rebuilding your internal capabilities from the ground up.
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A Forward Deployed Engineer works closely with customers and internal teams to understand problems, build solutions, integrate systems, and support production deployment.
They can handle technical discovery, solution design, software development, system integration, deployment, troubleshooting, and continuous improvements.
Start by defining your project scope, required technical expertise, timeline, and engagement model. Then select an engineer whose experience matches your requirements.
Strong software engineering, system integration, cloud, AI or data expertise, problem-solving, communication, and business understanding are important skills.
FDEs are useful when projects involve complex requirements, customer collaboration, multiple systems, or evolving business and technical needs.
Yes. Remote FDEs can work with distributed teams using modern collaboration, development, cloud, and deployment tools.
Yes. AI FDEs can work on LLM applications, RAG systems, AI agents, automation, integrations, and production AI solutions.
A traditional software engineer generally works from defined technical requirements, while an FDE works closer to the business or customer problem and helps shape, build, integrate, and deploy the solution.
Didn't get an answer?
We will reach out to you in less than 2 hours!