Forward Deployment Engineer

Ensar Solutions Inc; Chicago (IL); On-site; USD 110,000 - 170,000; Full time

Job summary

Ensar Solutions Inc. is seeking Forward Deployment Engineers in Chicago to bridge business needs and engineering. You will define problems with clients, prototype solutions, and guide deployment into daily operations.

The role blends hands-on software development with discovery, collaboration, and delivery. You should quickly learn new domains, weigh technical trade-offs, and clearly explain your decisions to stakeholders.

Qualifications

• Hands-on software development with client discovery and delivery.
• Experience with learning new domains and making trade-offs.
• Ability to explain technical decisions clearly.

Responsibilities

• Understand users, workflows, data, and goals; translate to requirements and plans.
• Build full-stack apps, APIs, integrations, from prototype to production.
• Develop AI features such as RAG, document intelligence, agentic workflows.
• Use spec-driven development, review generated code, keep tests/docs aligned.
• Deploy and monitor cloud applications focusing on reliability, security, and cost.
• Run demos, gather feedback, troubleshoot, and support client adoption.

Skills

Full-stack development

LLM applications

API design

Cloud deployment

Testing and debugging

Communication

Tools

React

FastAPI

Node.js

Spring Boot

AWS

Azure

CI/CD

GitHub Copilot

Job description

Work directly with clients to discover opportunities, build practical AI solutions, and guide implementation through deployment and adoption.

Engineer the solution.
Stay close to the client.

We're seeking Forward Deployment Engineers in Chicago who enjoy working where business needs meet engineering. You'll help clients define the right problem, build a working solution, and bring it into their day-to-day operations.

This role combines hands-on software development with discovery, collaboration, and delivery. You should be comfortable learning a new domain, making technical trade-offs, and explaining your decisions clearly.

What you'll do

• Work directly with clients to understand their users, workflows, data, and business goals; translate those needs into clear requirements and technical plans.
• Build and iterate on full-stack applications, APIs, and integrations, moving from a focused prototype to maintainable production software.
• Develop AI features such as RAG, document intelligence, and agentic workflows; evaluate their quality and make their limitations visible.
• Use spec-driven development and AI coding tools thoughtfully, reviewing generated code and keeping architecture, tests, and documentation aligned.
• Deploy and monitor applications in cloud environments, with attention to reliability, security, data access, and operational cost.
• Run demos, gather feedback, troubleshoot issues, and support client teams as they adopt and operate the solution.

What you bring

• Ability to work across application interfaces, backend services, APIs, databases, and cloud deployment.
• Practical familiarity with LLM applications, prompting, retrieval, or AI integrations, supported by projects you can discuss.
• Strong debugging habits, version control, testing, and a clear approach to handling sensitive client data.
• Clear communication with technical and nontechnical stakeholders, including the ability to explain trade-offs and ask useful questions.
• Ownership of an outcome from initial discovery through implementation, feedback, and improvement.

Additional experience we value

• Experience with React, FastAPI, Node.js, or Spring Boot.
• Experience with AWS or Azure, containers, CI/CD, and application observability.
• Familiarity with vector search, retrieval evaluation, tool-using agents, or document processing.
• Experience using tools such as GitHub Copilot, Cursor, or Codex with code review and automated checks.
• Client-facing delivery experience or familiarity with healthcare, finance, accounting, security, or education workflows.