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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Application Engineer - **Company:** Simple Technology Solutions - **Location:** Washington, DC, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Application Services, JIRA, Cloud Computing, CompTIA Security+, Continuous Integration, Data Validation, Amazon DynamoDB, Github, Identity and Access Management, Python (Programming Language), Software Engineering, TypeScript, Web Application Frameworks, Data Logging, Test-Driven Development (TDD), Retrieval-Augmented Generation, Large Language Models, Claude Code, Prompt Engineering, Software Application Programming, Generative AI, AI Coding Agents, Agentic-AI, Integration Tests, Information Technology, Amazon Bedrock, Claude, Functional Programming, Cloudwatch, Api Gateway, Terraform - **Published:** October 25, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=cf36ad5af7eb4d77 ## About the Role * 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, * 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+ ## Description 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., * 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.