AI Application Engineer

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

STS is committed to equal employment opportunity and merit-based employment practices. STS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination, harassment, and retaliation in all employment practices and decisions in accordance with applicable federal, state, and local laws.

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.

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