At Simple Technology Solutions, our people are our priority. We know our team members are more than employees—they’re parents, friends, volunteers, artists, and athletes. That’s why we offer flexibility to help them thrive personally and professionally while delivering exceptional solutions to our Federal Government clients.
Our culture is built on collaboration, continuous learning, and excellence. We are mentors and thought leaders who share knowledge and foster growth. Recognized as a “Best Place to Work,” we believe a range of perspectives helps us drive innovation and exceed customer expectations. At STS, taking care of our people isn’t a perk—it’s the standard.
As a HUBZone company, we also offer special incentives for team members living in qualified HUBZones. Check out the HUBZone map HERE to see if you qualify!
Simple Technology Solutions is looking for an AI Application Engineer to add to our team.
Quick Position Overview:
- US Citizenship and the ability to obtain and maintain a Public Trust clearance are required
- Bachelor's Degree is required
- Minimum of 8 years' position related experience is required
- AWS Developer or Solutions Architect certification (Associate) preferred for hire; the AWS and Anthropic Claude certifications listed under Required Certifications must be earned within 12 months of hire
- Remote position with occasional travel to client sites and STS events
- Candidates living in the DC Metro region (within driving distance for quarterly in-person team events) are strongly preferred; STS is a HUBZone company, so residence in a HUBZone is favored for remote candidates
The Role:
The AI Application Engineer builds the software at the heart of STS AI solutions: the agents, retrieval pipelines, APIs, and user-facing features that turn a federal customer's requirements into a working application. You work test-first from the project's requirements trio (use cases, mockups, specifications), using Claude Code and STS's shared agents and skills to move quickly while keeping quality high. Success looks like a steady stream of small, tested, reviewable pull requests that trace back to Jira cards and ship to real users every week. When a client requires AWS-native tooling instead of STS's standard toolchain, you are equally productive building on Amazon Bedrock, Lambda, and API Gateway.
The AI Application Engineer at STS will:
- Build and ship generative AI application features, including retrieval-augmented generation, tool-using agents, prompt pipelines, and the APIs and user interfaces that expose them.
- Practice test-driven development from the requirements trio, writing unit and integration tests from use cases and specifications before application code and ensuring tests pass before opening a pull request.
- Develop on the OpenCORA module architecture when the project uses it, building business-functionality modules on the core chassis and following its conventions.
- Build on AWS-native generative AI services, including Amazon Bedrock, Bedrock Agents and Knowledge Bases, Lambda, API Gateway, DynamoDB, and S3, when a client requires AWS services in place of STS's standard toolchain.
- Use Claude Code and the team's shared agents and skills as the primary development workflow, and contribute improvements to those agents and skills back to the team.
- Maintain a clean audit trail from requirements to Jira cards to GitHub pull requests, and keep commits small, reviewable, and tied to a card.
- Participate in backlog grooming, estimate and break down work, and raise requirement gaps early with the business analyst and tech lead.
- Instrument applications with logging, tracing, and evaluation hooks so that AI behavior can be measured, debugged, and improved in each environment.
- Review teammates' pull requests, pair with the quality engineer on end-to-end test coverage, and support release activities through DEV, TST, STG, and PRD.
- Apply secure coding practices appropriate to federal workloads, including secrets handling, input validation, and least-privilege access to data and services.
Education and Experience:
Required
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent professional experience in addition to the minimum below
- Minimum of 8 years of professional software development experience building production web or cloud applications, including at least 2 years building applications on large language model APIs
- Demonstrated experience delivering with test-driven development and continuous integration on a team, and shipping to AWS
- Experience using AI coding assistants or agentic coding tools in daily work, ideally including authoring reusable prompts, agents, or skills for others
- Strong proficiency in Python and TypeScript, including modern frameworks for APIs and web front ends
- Working knowledge of retrieval-augmented generation design, vector stores, embeddings, prompt engineering, and evaluation of LLM outputs
- Hands-on experience with Amazon Bedrock and core AWS application services (Lambda, API Gateway, DynamoDB, S3, IAM, CloudWatch)
- Fluency with Git and GitHub pull-request workflows, Jira, and CI/CD pipelines
- Ability to read Terraform and understand how application code is deployed across DEV, TST, STG, and PRD
- Pragmatic builder who prefers small, shippable increments over large, perfect ones
- Takes requirements seriously and pushes back constructively when a use case or spec is unclear
- Self-directed and comfortable owning outcomes on a small, senior team where everyone contributes across the lifecycle
- Curious and current on AI tooling; treats AI assistants as part of the team and holds their output to the same standard as human work
- Clear, candid communicator with federal clients and teammates; writes well and documents as a habit
- Bias toward fast delivery and early user feedback over conservative gating; learns from failure quickly
Required Certifications (to be earned within 12 months of hire)
- AWS Certified Developer – Associate or AWS Certified Solutions Architect – Associate
- Claude Certified Developer – Foundations (CCDV-F)
Preferred Certifications
- AWS Certified AI Practitioner
- AWS Certified Generative AI Developer – Professional
- Claude Certified Architect – Foundations (CCAR-F)
- CompTIA Security+
What We Offer:
- Competitive compensation package
- Comprehensive health, dental, and vision insurance plans
- Professional development and training
- Performance-based incentives
- 401(k) retirement savings plan
- Work from home stipend
- Unlimited PTO
- Paid holidays
- Flexible work schedule
- Professional development budget to be used for training and certifications
Employment decisions at STS are based on individual qualifications, performance, skills, and business needs, without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, sexual orientation, gender identity, genetic information, marital status, or any other status protected by applicable law.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, compensation, training, transfer, discipline, termination, layoff, recall, and leaves of absence.
Skills Required
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent professional experience
- At least 8 years of professional software development experience building production web or cloud applications
- At least 2 years of experience building applications on large language model APIs
- US citizenship
- Ability to obtain and maintain a Public Trust clearance
- AWS Certified Developer Associate or AWS Certified Solutions Architect Associate certification within 12 months of hire
- Claude Certified Developer Foundations certification within 12 months of hire
- Experience with test-driven development, continuous integration, and shipping applications to AWS
- Experience using AI coding assistants or agentic coding tools in daily work
- Strong proficiency in Python and TypeScript, including modern API and web front-end frameworks
- Knowledge of retrieval-augmented generation, vector stores, embeddings, prompt engineering, and LLM output evaluation
- Hands-on experience with Amazon Bedrock, Lambda, API Gateway, DynamoDB, S3, IAM, and CloudWatch
- Fluency with Git, GitHub pull-request workflows, Jira, and CI/CD pipelines
- Ability to read Terraform and understand deployments across DEV, TST, STG, and PRD
- AWS Developer or Solutions Architect Associate certification
- AWS Certified AI Practitioner certification
- AWS Certified Generative AI Developer Professional certification
- Claude Certified Architect Foundations certification
- CompTIA Security+ certification
What We Do
Simple Technology Solutions (STS) has in-depth experience helping federal & state government agencies in their Agile/DevOps/Cloud adoption & transformation. We understand how people, process, and technology work together to dramatically transform how government IT organizations improve their ability to deliver quality software & cloud-enable IT services to their end-users. In addition to being experienced government contractors, we are experienced coaches and thought-leaders guiding government IT leaders through the Agile/DevOps/Cloud mental, skill & organizational shifts. To our government customers, we are a small business with a big knowledge of the DHS mission and technology landscape. To our industry customers, we are a deeply connected, knowledgeable partner that you can trust as a services provider or strategic guide. STS is transforming complex into simple. KEEP I.T. SIMPLE!
