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SYSTEM Engineer - AI TS​/SCI w​/Poly Clearance - PP

Job in New York, New York County, New York, 10261, USA
Listing for: Halogen Engineering Group, Inc
Full Time position
Listed on 2026-06-07
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 251000 - 258000 USD Yearly USD 251000.00 258000.00 YEAR
Job Description & How to Apply Below
Position: SYSTEM ENGINEER - AI - 18+ yrs of Experience - TS/SCI w/Poly clearance is required - PP
Location: New York

SYSTEM ENGINEER - AI - 18+ yrs of Experience - TS/SCI w/Poly clearance is required - PP

Posted On 06/02/2026

Job Information

Technology

Work Experience 10-15 Years

251K - 258K

City Columbia

State/Province Maryland

21044

Job Description

System Engineer - AI - 18 + yrs of Experience - TS/SCI w/Poly clearance is required

Halogen Engineering Group is looking for atalented AI Engineer to join our team! In this role you will get to provide technical advisory support for the design, evaluation, and advancement of AI-enabled applications, tools, and workflows. This role is intended for a hands‑on technical professional who understands how modern AI systems are built and can help guide teams developing practical solutions using large language models, agentic workflows, orchestration frameworks, and supporting software infrastructure.

The right candidate is a builder at heart—someone who explores new frameworks, prototypes ideas, and continuously teaches themselves emerging techniques. Curiosity and passion matter greatly in this role. We want someone who follows the fast‑moving AI ecosystem because they genuinely enjoy it, not just because the job requires it.

Location: Columbia, MD

Travel Required: No

Shift: Day

Remote Type: Onsite

Security Clearance: Current TS/SCI

Polygraph: Required (Poly must be less than 7 years old)

Salary Range

The projected compensation range for this position is 251K - 258K (annualized USD).

Salary is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract‑specific affordability and organizational requirements.

Capabilities

Provide SETA support to government teams developing or assessing AI-enabled applications and tools.

  • Advise on technical approaches for AI application design, prototyping, integration, and evaluation.
  • Assess solutions involving LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses.
  • Support the review of architectures, development approaches, model usage patterns, and technical risk areas.
  • Advise on AI engineering considerations such as latency, reliability, observability, testability, guardrails, data flow, and system integration.
  • Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases.
  • Assist with the development of technical guidance, prototypes, engineering recommendations, and briefings for government stakeholders.
  • Support test and evaluation activities for AI tools, including performance assessment, qualitative review, and workflow validation.
  • Collaborate with platform engineers, product leads, mission users, and government leadership to ensure AI efforts remain technically grounded and operationally relevant.
  • Stay current on rapid changes in the AI ecosystem and provide informed recommendations on emerging tools and practices.
Requirements

Required Skills

Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools.

  • Familiarity with modern AI application patterns, including LLM‑based applications, RAG, prompt engineering, agentic systems, and AI‑assisted workflows.
  • Working knowledge of one or more agentic or orchestration frameworks such as Lang Chain, Lang Graph, Semantic Kernel, Auto Gen, CrewAI, Haystack, Llama Index, or similar ecosystems.
  • Experience with software development fundamentals, APIs, data handling, and system integration.
  • Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders.
  • Strong written and verbal communication skills.

Desired Skills

  • Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses.
  • Exposure to model hosting, inference pipelines, or cloud‑based AI development environments.
  • Understanding of secure AI development practices, data protection, and operational constraints in government settings.
  • Familiarity with human‑in‑the‑loop workflows, AI assurance, and evaluation methodologies.

Qualifications

  • Minimum of 18 years with Bachelors,…
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