Inperson | GenAI/LLM + Agentic Developer
Meher Reynold
Title: GenAI/LLM + Agentic Developer \
Location: McLean, VA (5 Days onsite)
Duration: Long Term
Interview Mode: In-Person
Looking for a Senior Consultant with expertise in GenAI / LLM + Agentic development with Hands-on experience building LLM-powered agents (tool-using, multi-step reasoning, guardrails).
Need someone with 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
Need someone with good experience in GitHub platform + GHCP (Copilot) for engineering workflows, strong proficiency with GitHub Copilot in day-to-day development.
Need someone with good experience in Test automation engineering (framework expertise) including 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)
Job Description:
1) Agentic test automation foundation (reusable patterns + reference implementations)
Design and implement agentic testing patterns that can be adopted by multiple Underwriting teams (and later other domains).
Create reference implementations (sample repos / templates) demonstrating:
Test generation assistance (from requirements, APIs, contracts, schemas)
Test maintenance assistance (auto-updating selectors/contracts, flaky test triage)
Failure analysis assistance (root cause suggestions, log correlation, defect drafting)
Establish a standard architecture for test code organization, tagging, data management, and execution across UI + API + service layers.
2) Coverage standards, templates, and governance
Define and publish coverage standards (what “good” looks like) including:
Minimum coverage expectations by service/component
Test type mix (unit vs API vs UI vs contract vs integration)
Risk-based prioritization and traceability to requirements
Provide templates usable across teams:
Test plan templates
Test case/spec templates (Gherkin-style or equivalent)
Definition of Ready / Definition of Done quality checklists
Create a scalable tagging/metadata strategy (e.g., feature, service, risk, priority, data sensitivity) to support reporting and quality gates.
3) GenAI-assisted reporting and quality insights across microservices
Build automated reporting that aggregates test + service data across multiple microservices, such as:
Test execution results (Karate/Playwright + CI runs)
Service health signals (logs/metrics/traces if available)
Defect signals (issue tracker metadata if available)
Generate GenAI-driven summaries:
Release readiness narratives
Failure clustering and trend analysis
“What changed?” insights (commit/PR correlation)
Produce outputs consumable by engineering leadership and teams (dashboards, markdown summaries in PRs, artifacts in CI).
4) “Quality gates” via agents
Build automated review agents that evaluate user stories/requirements for minimum required clarity and data before development/testing starts:
Required fields present (acceptance criteria, testable outcomes, data needs, dependencies)
Ambiguity detection and missing edge cases
Data/privacy considerations and environment needs
Integrate gates into workflow (PR checks, issue templates, GitHub Actions) to reduce churn and rework.
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
GitHub platform + GHCP (Copilot) for engineering workflows:
Strong proficiency with GitHub Copilot in day-to-day development.
Deep experience with GitHub platform capabilities:
GitHub Actions (CI/CD pipelines, reusable workflows, composite actions)
PR checks, branch protections, CODEOWNERS, templates Automation via GitHub 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.
Automated quality gates integrated into GitHub workflows that measurably reduce story churn.
Vinay | GSS, Inc
Vinay here from GSS Inc., hope your day is going well.
Please consider the below Sr. Generative AI Engineer | Enterprise Java Full Stack Developer for your client requirements, he brings solid technical expertise with excellent interpersonal skills.
Reach us anytime for further details at (609) 643 5166
Candidate Name: Prabhu K. Pradhan
Core Expertise: Generative AI Engineer, Enterprise Java Full Stack Developer
Years of exp: 14 years
Hourly Rate: Flexible
Availability: Immediate
Current Location: West Des Moines, IA 50266
Relocation: Anywhere in US
SSN (last 4 Digits): 1633
Candidate D.O.B: November 1986
Visa Status: L2 EAD
Resume: Find attached
Best regards,
Vinay Bathini
Sr. Associate, Client & Talent Relations
(609) 960 0800 x. 412 ~ vi...@gsspros.com ~ My LinkedIn
Global Soft Systems, Inc
Architecting Workforce & Delivery Partnerships — 25+ Years Strong
9401 Indian Creek Pkwy, Suite 570, Overland Park, KS 66210
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