Software Engineer

Mission Recruit; Macon (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

Mission Recruit is seeking a Software Engineer for our government client to design, build, and support modern intelligent applications for federal retirement systems. You will work on full stack web apps and hands-on AI/ML development in a regulated environment.

Onsite at Macon, GA or Washington, DC or Kansas City, KS, you will implement secure APIs, optimize databases, and bring AI agents and LLM-based features into production, collaborating across Agile teams.

Qualifications

• BS or MS in Computer Science or related field required.
• 5+ years of software engineering experience.
• Proficiency in one or more core languages and frameworks.
• Strong SQL Server skills; EF Core familiarity.
• Hands-on experience deploying LLM-based solutions.
• Familiarity with agentic AI patterns, RAG pipelines.

Responsibilities

• Build modular, responsive web apps in React and/or Vue.js.
• Design secure, scalable APIs with TypeScript, ASP.NET Core, or Java.
• Integrate with enterprise systems via SOAP/REST APIs.
• Optimize database performance with SQL Server and EF Core.
• Develop ML models for classification, prediction, anomaly detection.
• Integrate LLMs into production with prompt engineering and RAG.
• Create data pipelines for large-scale data.
• Apply explainable AI practices in regulated environments.
• Participate in Agile ceremonies, code reviews, and releases.

Skills

ASP.NET Core

TypeScript

Java (Spring)

SQL Server

Python

React/Vue.js

LLM deployment

Education

BS/MS in Computer Science or related field

Tools

Databricks

OpenAI API

Azure

EF Core

SOAP/REST APIs

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.