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Gen AI Developer Specialist

Job in McLean, Fairfax County, Virginia, USA
Listing for: IT Engagements, Inc.
Full Time position
Listed on 2026-07-26
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), AI QA / Validation Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below

Test generation/augmentation

Greetings from IT Engagements IT Engagements is a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. We have an immediate opening for the below position with one of our premium clients.

Job Title:

Gen AI Developer Specialist (GenAI / LLM + Agentic Development) Location:
Mclean, VA (5 days a week - Onsite) Interview:
Face to Face Experience:
10 Years (Required >10) Visa:
GC / H4

EAD / USC
/
H1B / GCEAD

Must Have

Qualifications:

Must have 5+ years of experience and a strong AI development background. Must have hands on experience building agentic workflows, automating testing using AI, and working with tools such as Git Hub, Copilot, and Claude.

Required Technical Skills (must-have)

  • GenAI / LLM + agentic development
  • Hands-on experience building LLM-powered agents (tool-using, multi-step reasoning, guardrails).
  • Experience with prompting patterns, structured outputs (JSON schemas), evaluation, and reducing hallucinations.
  • Ability to design agent workflows for:
  • Test generation/augmentation
  • Requirements review and completeness validation
  • Report generation and summarization

Git Hub platform + GHCP (Copilot) for engineering workflows

  • Strong proficiency with Git Hub Copilot in day-to-day development.
  • Deep experience with Git Hub platform capabilities:
  • Git Hub Actions (CI/CD pipelines, reusable workflows, composite actions)
  • PR checks, branch protections, CODEOWNERS, templates Automation via Git Hub APIs/webhooks (as needed)

Test automation engineering (framework expertise)

  • Advanced experience designing and implementing automation with:
  • Karate (API testing, contract-like checks, data-driven testing, mocks)
  • Playwright (UI automation, selectors strategy, parallelization, trace/video artifacts)
  • Strong understanding of test design and coverage:
  • Happy path scenarios
  • Negative/validation scenarios
  • Edge/boundary scenarios
  • Data setup/teardown strategies and test isolation

Cross-service reporting and data aggregation

  • Proven ability to aggregate and normalize results from multiple microservices and multiple pipelines.
  • Experience producing actionable automated reports (trend analysis, failure clustering, service correlation).

Automated Requirements Review Agents

  • Experience implementing automated checks that validate:
  • Acceptance criteria completeness
  • Required test data and environment dependencies
  • Non-functional requirements (performance, security, observability) when applicable

Deliverables / What Success Looks Like (for The Posting)

  • A reusable agentic testing automation kit adopted by multiple teams.
  • Published coverage standards + templates and onboarding documentation.
  • A working GenAI-assisted reporting pipeline aggregating results across microservices.

Regards, Satya

#J-18808-Ljbffr
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