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# Forward Deployment Engineer

- **Company:** TEKSYSTEMS INC.
- **Location:** New York, NY, United States (Remote available)
- **Salary:** $166,400 - $176,800
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Cloud Computing, DevOps, Python (Programming Language), Productivity Software, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, AI Coding Agents, Agentic-AI, Model Context Protocol, Golang
- **Published:** October 30, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/ny/new-york/8756c8d3-d55b-418a-bc83-60961bc473e3

## About the Role

* Strong application development / software engineering experience
 * Experience building AI agents from scratch in production environments
 * Deep understanding of LLMs, agent architectures, prompt engineering, and context engineering
 * Experience with agent orchestration, MCP (Model Context Protocol), Skills, Harnesses, Tools, or similar frameworks
 * Ability to translate ambiguous business problems into scalable technical solutions
 * Strong product mindset with experience working directly with business stakeholders
 * Python and/or Golang development experience
 * Excellent communication and presentation skills, * Experience building multi-agent systems
 * Experience with RAG architectures and vector databases
 * Experience with AI-powered workflow automation
 * Experience building coding agents or developer productivity tools
 * Experience delivering customer-facing AI products
 * Cloud experience with AWS, Azure, or GCP
 * Experience in enterprise-scale or highly regulated environments
 * background in DevOps, Platform Engineering, or Software Engineering
 * Experience working in consultative or customer-facing engineering roles, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

## Description

* Partner directly with business stakeholders to identify opportunities for AI-driven transformation
 * Translate vague or ambiguous business requirements into scalable technical architectures
 * Design, build, and deploy AI-powered applications and agentic workflows
 * Develop production-grade AI solutions leveraging LLMs, agents, MCPs, skills, tools, and modern AI frameworks
 * Rapidly prototype new AI use cases and validate business value
 * Present demos and communicate complex technical concepts to technical and non-technical audiences
 * Collaborate with product, program, and engineering teams to drive adoption of AI solutions
 * Evaluate multiple technical approaches and determine the most effective implementation strategy
 * Support enterprise-wide AI initiatives focused on automation, efficiency, and operational improvement
 * Establish and promote best practices for AI implementation and delivery