Artificial Intelligence Software Engineer

General Dynamics

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Sudbury, MA
Salary
$142,696–$158,303 / yr
Posted
28 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k
This role $150k
$117k most similar roles pay here $216k

This role pays less than 64% of similar roles. Most pay $138,827–$202,800 — the shaded band above. At the midpoint, this role pays about $150k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About General Dynamics

General Dynamics is a global aerospace and defense company offering a broad portfolio of products and services in business aviation, ship construction, land combat vehicles, and information technology. It serves customers in the U.S. government, allied governments, and a diverse array of commercial markets.

General Dynamics currently has 1123 open roles on FindRole.

Listed pay typically runs $124,093–$150,385 across 984 roles with salary data.

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View all roles at General Dynamics

At a glance

TL;DR · Artificial Intelligence Software Engineer

The Artificial Intelligence (AI) Software Engineer joins a small team to build production-grade AI systems for enterprise applications, moving beyond prototypes to solve real problems like legacy modernization and manufacturing intelligence. You will develop agentic workflows, RAG pipelines, and LLM-integrated applications using Python, LangChain, and LangGraph while integrating with platforms like Oracle, Snowflake, and CRM systems. Your daily work involves building data-to-insight pipelines for unstructured data, designing secure API interfaces, and managing model reliability through monitoring and evaluation. You will utilize a multi-model environment including Claude, Codex, and Gemini, while employing AI-assisted development tools like Claude Code and GitHub Copilot. Technical requirements include expertise in Docker, Kubernetes, and CI/CD pipelines to deploy containerized services. The role focuses on creating robust infrastructure for large-scale enterprise operations rather than simple proof-of-concept demonstrations.

What you'll do

  • Build and deploy agentic workflows, RAG pipelines, and LLM-integrated applications using Python and LangChain.
  • Implement document ingestion workflows to transform unstructured data into structured models for AI reasoning and vectorization.
  • Design and build secure API interfaces to connect AI services with internal enterprise platforms and data sources.
  • Containerize and deploy AI services using Docker and Kubernetes.
  • Develop monitoring and evaluation pipelines to track model reliability, latency, and operational performance.
  • Design, test, and optimize prompts and agent configurations for production use.

What we're looking for

  • U.S. citizenship is required.
  • Ability to obtain a Department of Defense Secret security clearance is required.
  • Bachelor's degree in Software Engineering or a related STEM field plus 8 years of experience, or a Master's degree plus 6 years of experience.
  • Experience building and deploying production AI services using LLM APIs.
  • Strong Python development skills for writing clean, testable, production-grade code.
  • Experience with RAG pipelines, vector databases, and document ingestion workflows in production environments.
  • Experience building/consuming REST APIs and containerized deployment using Docker and Kubernetes.
  • Experience with LangChain, LangGraph, multi-cloud platforms, or streaming data pipelines (preferred).

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