Senior Applied AI Engineer: LLMs, RAG for Mission Apps

Neural Solutions; Columbia (MD); On-site; USD 204,000 - 247,000; Full time

Job summary

Neural Solutions is seeking a seasoned software engineer to design, build, and maintain production AI-enabled applications using Python, with a focus on LLM-powered workflows and RAG pipelines in a mission-driven environment.

You will architect scalable backend systems, leverage AI agents, and collaborate with mission customers to deliver robust AI-powered solutions that address complex operational challenges.

Qualifications

• 12 years with Bachelor's degree in a technical field, or 16 years without degree.
• Experience designing and developing AI-enabled applications using LLMs, RAG, or AI agents.
• Production software development experience using Python and modern software practices.

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 for mission problems.
• Collaborate with mission customers to design and develop AI-powered solutions that address operational challenges.

Skills

Python

Distributed backend systems

LLM/RAG/AI agents

Education

Bachelor's degree in a technical field

Tools

Docker

Kubernetes

LangChain

PydanticAI

LlamaIndex

Job description

Neural Solutions is seeking a seasoned software engineer to design, build, and maintain production AI-enabled applications using Python, with a focus on LLM-powered workflows and RAG pipelines in a mission-driven environment.

You will architect scalable backend systems, leverage AI agents, and collaborate with mission customers to deliver robust AI-powered solutions that address complex operational challenges.