Forward Deployed Engineer

Kforce Inc; Armonk (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Kforce is seeking a Forward Deployed Engineer for a client in Armonk, NY. You will build production-grade AI agents and solutions, leveraging LLM APIs, RAG, and agentic workflows to drive employee productivity and process optimization.

In this role, you will work hands-on within established patterns, collaborating with senior engineers and cross-functional teams to ensure AI-driven solutions are integrated into enterprise workflows.

Qualifications

• 5+ years of hands-on experience building AI solutions using LLMs, RAG, or agentic workflows.
• Experience with cloud platforms and scalable AI deployments.
• Strong communication and collaboration skills with cross-functional teams.

Responsibilities

• Build and deliver RAG pipelines and agentic workflows for high-value use cases.
• Develop APIs, services, and integration components.
• Apply prompt engineering to optimize AI performance.
• Collaborate with senior engineers to turn prioritized opportunities into production-ready solutions.
• Monitor and improve AI systems for reliability and measurable impact.
• Contribute to CI/CD workflows and engineering best practices.

Skills

LLM APIs

RAG pipelines

Agentic workflows

Prompt engineering

Cloud platforms (AWS/Azure/GCP)

API development

Agile development

Cross-functional communication

Vector databases

LangChain / LlamaIndex

Tools

LangChain

LlamaIndex

APIs

Job description

Responsibilities

Kforce has a client in Armonk, NY that is seeking a Forward Deployed Engineer. Summary: The Forward Deployed Engineer (FDE) build team turns the enterprise's highest-value AI opportunities into production reality, partnering with US-based FDEs to deliver solutions across lines of business. As an Engineer, you will build and deliver production-grade AI agents and solutions - leveraging LLM APIs, agentic workflows, and Retrieval-Augmented Generation (RAG) - that drive employee productivity, process optimization, and smarter decision-making. Working hands-on within established patterns and reference implementations, and collaborating closely with senior engineers, FDEs, and cross-functional teams, you will ensure AI-driven solutions are effectively integrated into enterprise workflows. Responsibilities:

• Build and deliver RAG pipelines, agentic workflows, and multi-model orchestration components for high-value use cases, following established patterns and reference implementations
• Develop APIs, services, and integration components that connect AI capabilities to enterprise data and systems
• Apply prompt engineering and evaluation techniques to optimize AI system performance, accuracy, and reliability
• Partner with FDEs and senior engineers to turn prioritized opportunities into working, production-ready solutions
• Monitor, test, and continuously improve AI systems for scalability, reliability, and measurable impact
• Contribute to CI/CD workflows and engineering best practices for quality and maintainability
• Collaborate with cross-functional teams to integrate AI solutions into enterprise workflows
• Build and maintain key artifacts, including design notes, test scripts, and documentation

Requirements

• 5+ years of hands-on experience building AI solutions using LLMs - prompt engineering, RAG, or agentic workflows
• Experience working in agile development cycles to support rapid, effective delivery
• Strong problem-solving skills and a drive to apply creative solutions in AI agent development
• Clear communication skills for effective collaboration with FDEs and cross-functional teams
• Experience with LLM APIs, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex)
• Experience developing APIs and integration components
• Experience with cloud platforms (AWS/Azure/GCP)
• Hands-on experience with prompt and context engineering, fine-tuning, and agentic workflows
• Working knowledge of designing retrieval-augmented generation (RAG) pipelines
• Experience with LLM APIs, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex)

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.