Software Engineer

Mission Recruit; Washington (District of Columbia); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Onsite work across multiple offices

Agile environment

Job summary

Mission Recruit is hiring a Software Engineer for our government client to design, build, and support modern, intelligent applications for federal retirement systems. This role blends full stack web development with hands-on AI/ML work, delivering secure APIs, data pipelines, and explainable AI in a regulated environment.

Onsite opportunities in Macon, GA; Washington, DC; and Kansas City, KS. You will tackle modular UI in React/Vue, APIs in ASP.NET Core or Java Spring, and ML model deployment,

Qualifications

• 5+ years of software engineering experience
• Experience designing modular, scalable web applications
• Hands-on AI/ML development and deployment experience
• Familiarity with enterprise integration using REST/SOAP
• Experience in Agile development environments

Responsibilities

• Build modular, responsive web applications in React and/or Vue.js
• Design secure, scalable APIs using ASP.NET Core, TypeScript, or Java Spring
• Integrate with enterprise systems via SOAP and REST APIs
• Optimize SQL Server performance and data access using EF Core
• Develop AI/ML features, LLM integrations, and data pipelines
• Participate in Agile ceremonies, code reviews, and release planning

Skills

Full stack development

AI/ML experience

System design

Education

BS in Computer Science or related field

Tools

ASP.NET Core

TypeScript

Java (Spring)

Python

SQL Server

EF Core

Job description

Software Engineer, AI and Application Engineering

Onsite: Macon, GA | Washington, DC | Kansas City, KS

Mission Recruit is hiring a Software Engineer for our government client to design, build, and support modern, intelligent applications for federal retirement systems. This role blends full stack web application engineering with hands on AI and machine learning development. You will build the systems that serve federal employees and retirees, and the AI capabilities that make those systems smarter over time.

Core Technologies

• Backend: ASP.NET Core Web API, TypeScript, Java (Spring Framework)
• Data and AI: SQL Server, Databricks, Python, AI agents and LLMs (OpenAI, Anthropic, Azure OpenAI, or open source models)
• Cloud: Azure (App Services, Functions, Key Vault), CI/CD via Git and GitHub Actions

What You Will Do

• Build modular, responsive, accessible web applications in React and/or Vue.js
• Design secure, scalable APIs using TypeScript, ASP.NET Core, or Java with Spring
• Integrate with enterprise systems via SOAP and REST APIs
• Optimize database performance with SQL Server and Entity Framework Core
• Design AI agents and LLM powered applications that automate retirement data workflows
• Build and maintain ML models for classification, prediction, and anomaly detection
• Integrate LLMs into production using prompt engineering, RAG, and agentic frameworks
• Develop data pipelines for large scale structured and unstructured data
• Apply explainable AI practices suited to a regulated, auditable environment
• Participate in Agile ceremonies, code reviews, and release planning

What You Bring

• BS or MS in Computer Science or a related field (required)
• 5+ years of software engineering experience
• Expert proficiency in one or more core languages and frameworks
• Strong SQL Server skills; familiarity with EF Core
• Hands on experience building or deploying LLM based solutions
• Familiarity with agentic AI patterns, RAG pipelines, vector databases, and embeddings
• Experience leading major initiatives or solving complex architecture challenges is a plus

Requirements

• Must report onsite to one of the client offices in Macon, GA, Washington, DC, or Kansas City, KS
• Must complete a federal background investigation, which includes a conversation with your current supervisor

Who Thrives Here

The strongest candidates can reason about a React component and a retrieval pipeline in the same conversation. They read systems before rewriting them, evaluate models critically, and know that in a mission critical system, reliability, security, and explainability matter as much as capability.