Reflexive Concepts

AI Engineer

Reflexive Concepts • $120K — $145K *
Annapolis Junction, MD 20701In-Person
Enterprise Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-7 years of experience in AI engineering or related field
  • Strong Python development skills for maintainable code
  • Experience integrating existing large language models (LLMs) into applications
  • Proven ability to design multi-agent workflows and prompt chaining
  • Familiarity with integrating AI into existing software architectures and cloud platforms like AWS
  • Experience validating and evaluating LLM outputs

Responsibilities

  • Lead the design and development of agentic AI solutions from conception to deployment
  • Integrate foundation models into system architecture using APIs
  • Design and refine prompts to automate manual tasks and manage workflows
  • Develop testing and validation strategies for AI-generated outputs
  • Collaborate with cross-functional teams to articulate AI approaches
  • Stay up-to-date with LLM and agentic AI advancements for continuous improvement

Benefits

  • Opportunities for professional development and continuous learning
  • Flexible work environment
  • Collaboration with cross-functional experts in AI and software development
  • Ability to work on cutting-edge AI technology and applications
  • Engagement in meaningful projects that enhance operational effectiveness
Full Job Description
We have an immediate need for an Artificial Intelligence (AI) Engineer. The AI Engineer will work closely with system and software engineers to design, prototype, and integrate AI-enabled capabilities into the existing system architecture. This role centers on applying existing large language models (LLMs) to real mission workflows rather than training new models. The AI Engineer will build agentic solutions - systems of coordinated AI agents and prompts - that automate tasks currently performed manually, streamline authoring and reporting workflows, and enhance the overall effectiveness of intelligence operations.

Responsibilities:
  • Agentic Solution Design & Development: Lead the design and development of AI-driven solutions from conception to deployment, building multi-agent workflows in which coordinated agents and prompts work together to produce outputs supporting reporting and dissemination. This includes prototyping, writing production-quality code, and maintaining deployed AI capabilities.
  • LLM Integration: Integrate existing foundation models into the system architecture via APIs and orchestration frameworks, selecting the right model and approach for each task rather than building models from scratch.
  • Prompt Engineering & Workflow Automation: Design, test, and refine prompts and agent instructions to reliably automate manual tasks, and decompose complex mission workflows into discrete steps an agent pipeline can execute.
  • Evaluation & Reliability: Develop robust testing, evaluation, and validation strategies for AI-generated outputs, ensuring accuracy, consistency, and appropriate handling of edge cases before outputs reach analysts and reports.
  • Collaboration & Communication: Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts. Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.
  • Continuous Improvement: Stay current with the rapidly evolving LLM and agentic AI landscape (new models, orchestration frameworks, and tooling), continuously identifying practical opportunities to apply emerging capabilities to the system.

Required technical skills:
  • Strong Python development skills, with experience writing production-quality, maintainable code
  • Hands-on experience building applications on top of existing LLMs (e.g., via APIs for commercial or self-hosted models)
  • Experience designing multi-agent or multi-step AI workflows, including prompt chaining, tool use, and agent orchestration (e.g., LangChain, LlamaIndex, or custom frameworks)
  • Strong prompt engineering skills and experience evaluating and validating LLM outputs
  • Experience integrating AI capabilities into existing software architectures (RESTful APIs, microservices)
  • Experience with the Amazon Web Services (AWS) cloud computing platform

Desired technical skills:
  • Experience with retrieval-augmented generation (RAG) pipelines and vector databases
  • Familiarity with LLM observability and evaluation tooling
  • Experience conducting exploratory data analysis on structured and unstructured datasets to prepare inputs for AI workflows
  • Familiarity with MLOps/LLMOps practices for deploying and monitoring AI capabilities at scale
  • Familiarity with domain knowledge surrounding government agency reporting and dissemination policies

About Reflexive Concepts

Reflexive Concepts Careers

Joining Reflexive Concepts presents an unparalleled opportunity to become part of a leading team of professionals dedicated to innovation and technology. This is a pivotal time to engage with a company that values growth, leadership, and diversity in its workforce.

Explore Job Opportunities

Reflexive Concepts is actively seeking talented individuals for various positions across the company. With a commitment to professional excellence, Reflexive Concepts offers a dynamic environment where skills are honed, and careers flourish. Explore the multitude of job opportunities that range from internships to full-time positions, each offering a unique chance to contribute to groundbreaking projects.

Experience the Culture and Benefits

At Reflexive Concepts, the culture thrives on diversity, innovation, and leadership. Employees enjoy a range of benefits designed to support their professional and personal growth. The company is dedicated to fostering an inclusive environment where every team member’s contribution is valued. Benefits include comprehensive health care, flexible working conditions, and continuous professional development through diversity training and leadership workshops.

Engage in Professional Growth

Career advancement is a cornerstone of employment at Reflexive Concepts. The company supports a trajectory of professional growth through robust training programs, access to global resources, and opportunities to lead. Networking within the industry and participating in global teams allow employees to gain valuable insights and experiences that propel their careers forward.

Innovative Work Environment

Reflexive Concepts is at the forefront of technological advancement and industry innovation. Employees are encouraged to push the boundaries of what is possible, bringing fresh ideas and perspectives to their work. The collaborative atmosphere fosters a sense of community and drives collective success.

Join the Team

Reflexive Concepts is hiring! Search open positions that align with your skills and interests. The company looks for passionate, curious, and solution-driven team players. Prepare your resume, sharpen your interview skills, and get ready to embark on a rewarding career path with Reflexive Concepts.

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Learn more about Reflexive Concepts
Size
11 employees
Industry
Business Services
* Ladders Estimates

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