Senior Applied AI Engineer – Software Engineering (SWE3) [D.26.0169]

Dover Networks LLC; Maryland; On-site; USD 260,000 - 285,000; Full time

Job summary

Dover Networks LLC is seeking an experienced software engineer to design and develop AI-powered applications that enable users to interact with mission data using natural language and intelligent automation.

You will work directly with mission customers to rapidly prototype solutions and transition capabilities into production, shaping technical direction and engineering standards across the team.

Qualifications

• Production software development experience using Python.
• Experience designing and developing distributed or backend software systems.
• Experience building AI-enabled applications using LLMs, RAG, AI agents, or similar technologies.
• Experience developing REST APIs and integrating multiple data sources.
• Experience working with SQL, Elasticsearch, or other data storage technologies.
• Strong understanding of software architecture, object-oriented design, and software engineering best practices.
• Strong analytical and problem-solving skills.
• Ability to communicate technical concepts to both technical and non-technical stakeholders.
• Experience collaborating directly with mission customers to understand requirements and deliver operational solutions.

Responsibilities

• Design, develop, and maintain production AI-enabled software applications using Python and modern software engineering practices.
• Architect and implement LLM-powered workflows, retrieval-augmented generation (RAG) pipelines, and AI agent capabilities that solve mission problems.
• Develop backend services, APIs, and data pipelines supporting AI-enabled applications.
• Translate natural language user requests into deterministic analytical workflows through integration with mission data sources, databases, and search platforms.
• Collaborate directly with mission stakeholders to understand operational workflows and rapidly prototype customer-focused AI solutions.
• Integrate structured and unstructured data from multiple sources into scalable AI applications.
• Evaluate emerging AI frameworks, models, and software engineering techniques for mission applicability.
• Mentor junior engineers and contribute to technical architecture, engineering standards, and software design across the team.

Skills

Python development

Distributed/backend systems

LLM/RAG AI applications

REST APIs

SQL/Elasticsearch

Software architecture

Analytical problem solving

Communication with stakeholders

Mission/customer collaboration

Docker/Kubernetes

LangChain/LlamaIndex

React/TypeScript (nice to have)

Education

Bachelor's degree in a technical discipline

Tools

Docker

Kubernetes

Job description

Requires Top Secret/SCI with Full Scope Poly

Salary Range: $260k-$285k per year with an additional $65k-$71k in immediately vested company 401(k) contributions

Description: You will design and develop AI-powered applications that enable users to interact with complex mission data using natural language and intelligent automation. You will work directly with mission customers to understand operational challenges, rapidly prototype solutions, and transition successful capabilities into production. Our team emphasizes practical AI, rapid iteration, and customer collaboration over lengthy development cycles. This position is ideal for an experienced software engineer who enjoys building scalable AI systems while shaping technical direction across the team.

Responsibilities:

• Design, develop, and maintain production AI-enabled software applications using Python and modern software engineering practices.
• Architect and implement LLM-powered workflows, retrieval-augmented generation (RAG) pipelines, and AI agent capabilities that solve mission problems.
• Develop backend services, APIs, and data pipelines supporting AI-enabled applications.
• Translate natural language user requests into deterministic analytical workflows through integration with mission data sources, databases, and search platforms.
• Collaborate directly with mission stakeholders to understand operational workflows and rapidly prototype customer-focused AI solutions.
• Integrate structured and unstructured data from multiple sources into scalable AI applications.
• Evaluate emerging AI frameworks, models, and software engineering techniques for mission applicability.
• Mentor junior engineers and contribute to technical architecture, engineering standards, and software design across the team.

Skills Requirements:

• Production software development experience using Python.
• Experience designing and developing distributed or backend software systems.
• Experience building AI-enabled applications using LLMs, retrieval-augmented generation (RAG), AI agents, or similar technologies.
• Experience developing REST APIs and integrating multiple data sources.
• Experience working with SQL, Elasticsearch, or other data storage technologies.
• Strong understanding of software architecture, object-oriented design, and software engineering best practices.
• Strong analytical and problem-solving skills.
• Ability to communicate technical concepts to both technical and non-technical stakeholders.
• Experience collaborating directly with mission customers to understand requirements and deliver operational solutions.

Nice to Haves:

• Experience with Model Context Protocol (MCP), PydanticAI, LangChain, LlamaIndex, or similar AI frameworks.
• Experience deploying applications using Docker, Kubernetes, or containerized environments.
• Experience with React, TypeScript, Gradio, or modern web application development.
• Experience designing agentic AI workflows or multi-step reasoning systems.
• Experience supporting classified mission environments.
• Experience leading software engineering teams or technical projects.

YOE Requirement: 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.