Gov-Grade AI Solutions Engineer - LLM/RAG & Agents

Strategic Innovation Group LLC; Arlington (VA); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Health, dental, vision insurance

PTO generous

401(k) with match

Life insurance

Short- and long-term disability

Health Savings Account (HSA)

Job summary

Strategic Innovation Group (SIG) seeks a junior to mid-level AI/ML Engineer to design, engineer, and deploy production-grade AI workflows for federal civilian clients. You will work with senior architects to build LLM-powered applications, RAG architectures, and agent-based solutions in enterprise environments.

The role emphasizes secure, auditable AI with governance and human-in-the-loop controls, using Python, Kubernetes, and cloud services across AWS/Azure.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of hands-on software engineering or AI/ML experience (exceptional new graduates with strong undergraduate research or internships will be considered).
• Strong programming proficiency in Python, with a solid understanding of data structures, algorithms, API integration, and asynchronous programming.
• Demonstrated experience with LLMs, prompt engineering, vector databases (Pinecone, Milvus, Qdrant), or agent frameworks (LangChain, LlamaIndex, LangGraph).
• Familiarity with Kubernetes and containerization tools (Docker).

Responsibilities

• Design, develop, and deploy scalable AI/ML solutions, including LLM-powered apps, RAG architectures, and agent-based workflows in enterprise environments.
• Build and maintain end-to-end ML pipelines (data engineering, model development, deployment, monitoring, retraining) using Python, SQL, and modern MLOps practices.
• Develop AI applications using foundation models (Claude, GPT variants) and cloud services across AWS and Azure (Bedrock, SageMaker, OpenAI Service, AI Search).
• Design secure, auditable, and explainable AI systems with governance, traceability, and human-in-the-loop controls for mission-critical environments.
• Collaborate with cross-functional teams to prepare data, enable semantic retrieval, and deliver robust AI solutions aligned with operational needs.
• Monitor, evaluate, and optimize AI system performance to meet client objectives for accuracy, reliability, and scalability.
• Establish and maintain scalable AI infrastructure using Docker, Kubernetes and CI/CD pipelines.
• Document solutions and provide knowledge transfer for long-term sustainability and adoption of AI capabilities.

Skills

Python programming

Data structures

Algorithms

API integration

Asynchronous programming

LLMs

Prompt engineering

Vector databases

Agent frameworks

Education

Bachelor's or Master's degree in CS/Engineering

Tools

Kubernetes

Docker

Pinecone

Milvus

Qdrant

LangChain

LlamaIndex

LangGraph

OpenAI Service

Bedrock

SageMaker

HuggingFace

Job description

Strategic Innovation Group (SIG) seeks a junior to mid-level AI/ML Engineer to design, engineer, and deploy production-grade AI workflows for federal civilian clients. You will work with senior architects to build LLM-powered applications, RAG architectures, and agent-based solutions in enterprise environments.

The role emphasizes secure, auditable AI with governance and human-in-the-loop controls, using Python, Kubernetes, and cloud services across AWS/Azure.