Ai software Engineer (Forward Deployed Engineers)

TEKEngineersInc; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

TEKEngineersInc is seeking an AI software engineer (Forward Deployed Engineers) for a 100% remote, long-term role. You will lead the delivery of AI-powered solutions, integrating AI models with APIs and enterprise systems, while ensuring production-ready code and scalable deployments.

The ideal candidate has 6+ years in Python/Java/SQL, 2+ years in consulting or advisory roles, and strong client-facing communication.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field
• 6+ years of proficient experience in at least one programming language (e.g., Python, Java, SQL)
• 2+ years of experience operating in a consulting or advisory capacity, including structuring ambiguous problems, developing solution recommendations, and delivering against client or business objectives
• Demonstrated experience working in client‑facing engagements, including partnering directly with stakeholders to understand needs, communicate solutions, and support delivery in real-world environments
• Experience working with APIs, data pipelines, or distributed systems
• Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud Platform)
• Exposure to AI/ML concepts, including LLMs and prompt engineering
• Demonstrate advanced user capability on CodeX, Claude, etc. and other AI productivity tools
• Demonstrated ability to work effectively in client‑facing delivery environments
• Demonstrated solid collaboration skills and ability to operate within structured project teams

Responsibilities

• Solution Implementation & Delivery in client environments
• Build and deploy AI-powered solutions, including LLM-based workflows, copilots, and automation tools in client environments
• Implement integrations between AI models, APIs, and enterprise systems
• Translate defined solution designs into high-quality, production-ready code
• Contribute to end-to-end delivery by supporting development, testing, and deployment activities
• Hands-on Engineering using Python, Java, SQL
• Work with distributed systems and cloud platforms to support scalable, reliable deployments
• Assist with data preparation, prompt configuration, and model integration for AI-driven solutions
• Troubleshoot and resolve technical issues during development and deployment
• Client Delivery Support across healthcare payer and provider organizations
• Support technical discussions with client stakeholders
• Translate requirements into actionable development tasks
• Communicate progress and risks clearly within the team

Skills

Python

Java

SQL

Consulting experience

Client-facing

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Azure

Google Cloud

Job description

Hello

Job Title : Ai software Engineer (Forward Deployed Engineers)

Location : 100% remote

Duration : Long Term

Position : 10
.
These roles will be supporting multiple new AI initiatives internally for Client. The ask is to find candidates that have at least 6yrs of IT experience across Java or Python, and SQL with at least 2yrs of consultative experience owning solutioning and delivering on technical AI projects -- ideally in an FDE capacity. Healthcare payor knowledge is heavily preferred with PII/PHI experience secondary. Strong communication will be important!

write up
Need a write up or cover letter about Agentic Solution or Gen AI

Primary Responsibilities:

• Solution Implementation & Delivery
• Build and deploy AI-powered solutions, including LLM-based workflows, copilots, and automation tools in client environments
• Implement integrations between AI models, APIs, and enterprise healthcare systems
• Translate defined solution designs into high-quality, production-ready code
• Contribute to end-to-end delivery by supporting development, testing, and deployment activities
• Hands-on Engineering
• Develop solution components using modern programming languages (e.g., Python, Java, SQL) and engineering frameworks
• Work with distributed systems and cloud platforms to support scalable, reliable deployments
• Assist with data preparation, prompt configuration, and model integration for AI-driven solutions
• Troubleshoot and resolve technical issues during development and deployment
• Client Delivery Support
• Work alongside senior engineers and consulting leads in client engagements across healthcare payer and provider organizations
• Support technical discussions and working sessions with client stakeholders
• Help execute on defined project plans, timelines, and deliverables
• Contribute to iterative development cycles, incorporating client and team feedback
• Collaboration & Translation
• Partner with cross-functional teams, including engineering, platform, and product teams, to deliver integrated solutions
• Translate technical requirements into actionable development tasks
• Communicate progress, risks, and technical considerations clearly within the team
• Support alignment between technical implementation and client expectations
• Documentation & Knowledge Transfer
• Document solution components, integration points, and deployment processes
• Support knowledge transfer to client technical teams to enable adoption and sustainability
• Contribute to reusable implementation patterns, assets, and playbooks
• Success Measures
• Delivers high-quality solution components that meet performance, reliability, and security expectations
• Contributes effectively to end-to-end client delivery efforts
• Demonstrates strong execution in translating requirements into working systems
• Communicates clearly within teams and supports client delivery activities
• Builds capability in both technical implementation and client engagement over time
• Demonstrates the ability to design and develop prototypes with a clear path to production, ensuring solutions are scalable, supportable, and can be transitioned effectively to production engineering teams.

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field
• 6+ years of proficient experience in at least one programming language (e.g., Python, Java, SQL)
• 2+ years of experience operating in a consulting or advisory capacity, including structuring ambiguous problems, developing solution recommendations, and delivering against client or business objectives
• Demonstrated experience working in client‑facing engagements, including partnering directly with stakeholders to understand needs, communicate solutions, and support delivery in real-world environments
• Experience working with APIs, data pipelines, or distributed systems
• Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud Platform)
• Exposure to AI/ML concepts, including LLMs and prompt engineering
• Demonstrate advanced user capability on CodeX, Claude, etc. and other AI productivity tools
• Demonstrated ability to work effectively in client‑facing delivery environments
• Demonstrated solid collaboration skills and ability to operate within structured project teams
• Demonstrated clear communication skills for working with both technical and non‑technical stakeholders
• Demonstrated ability to execute against defined requirements and evolving priorities

Preferred Qualifications:

• Master's degree in a technical discipline (AI/ML, Data Science, Software Engineering)
• Healthcare Domain Expertise; Understanding of healthcare payer and/or provider operations (e.g., claims, utilization management, care delivery, revenue cycle)
• Familiarity with healthcare data considerations (e.g., privacy, compliance)
• Demonstrated solid execution focus with attention to detail and code quality
• Demonstrated ability to work in fast-paced environments with multiple priorities
• Willingness to take ownership of assigned components and deliver reliably
• Continuous learning mindset, particularly in AI and emerging technologie