TS/SCI AI Engineer - Multi-Agent LLMs (Hybrid)

Ctrl +; Corridor North (MD); Hybrid; USD 107,000 - 118,000; Full time

Benefits offered by this job

401(k) match

Life insurance

Disability insurance

Medical, dental and vision coverage

Employee Assistance Program

Certification reimbursement

Tech/equipment reimbursement

Referral bonuses

Paid social and team events

Job summary

Ctrl+ is seeking a security-cleared software engineer to design and build multi-agent AI workflows, integrate foundation models via APIs, and orchestrate tools to deliver mission-critical automation. You will prototype, test, and iterate novel prompts and agent instructions, using LangChain, LlamaIndex, or custom solutions to maximize reliability and security.

Collaborating with engineers and domain experts, you will deploy RESTful services on AWS, evaluate AI outputs, and drive MLOps practices.

Qualifications

• Active TS/SCI with polygraph is required.
• 3 years of relevant experience; Bachelor's degree in a STEM field.
• Strong production-quality Python development and API integration.

Responsibilities

• Design and build multi-agent AI workflows from concept to deployment.
• Integrate foundation models through APIs and orchestration frameworks.
• Engineer and refine prompts and agent instructions.
• Build testing and evaluation strategies for AI outputs.
• Collaborate with engineers and domain experts and present tradeoffs.

Skills

Python

LLM integration

Prompt engineering

Multi-agent workflows

Education

Bachelor’s degree in STEM

Tools

LangChain

LlamaIndex

RESTful APIs

AWS

Job description

Ctrl+ is seeking a security-cleared software engineer to design and build multi-agent AI workflows, integrate foundation models via APIs, and orchestrate tools to deliver mission-critical automation. You will prototype, test, and iterate novel prompts and agent instructions, using LangChain, LlamaIndex, or custom solutions to maximize reliability and security.

Collaborating with engineers and domain experts, you will deploy RESTful services on AWS, evaluate AI outputs, and drive MLOps practices.