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Automated Reasoning Jobs in Virginia (NOW HIRING)

Responsibilities : • Lead research and development of automated systems for reverse engineering ... e.g., code reasoning, decompilation assistance, exploit surface mapping). • Document ...

Build the reasoning behind regulated decisions - policy- and criteria-grounded outputs, structured ... metrics, automated checks, and human review. Engineer healthcare-grade safety - deployment eval ...

PPS Technician

Toano, VA · On-site

$25 - $35/hr

These machines are unique, automated, and tightly calibrated, and they require techs with real ... Strong mechanical reasoning and comfort working with tools, fixtures, and precision components Nice ...

PPS Technician

Toano, VA · On-site

$25 - $35/hr

These machines are unique, automated, and tightly calibrated, and they require techs with real ... Strong mechanical reasoning and comfort working with tools, fixtures, and precision components Nice ...

Build automated reporting that aggregates test + service data across multiple * microservices, such ... Hands-on experience building LLM-powered agents (tool-using, multi-step reasoning, guardrails)

Lead research and development of automated systems for reverse engineering, including static ... Integrate LLMs and multimodal models into security workflows (e.g., code reasoning, decompilation ...

Lead research and development of automated systems for reverse engineering, including static ... Integrate LLMs and multimodal models into security workflows (e.g., code reasoning, decompilation ...

Lead research and development of automated systems for reverse engineering, including static ... Integrate LLMs and multimodal models into security workflows (e.g., code reasoning, decompilation ...

Lead research and development of automated systems for reverse engineering, including static ... Integrate LLMs and multimodal models into security workflows (e.g., code reasoning, decompilation ...

Showing results 21-40

Automated Reasoning information

What is automated reasoning?

Automated reasoning is a field of computer science and mathematical logic dedicated to understanding how reasoning can be automated using computers. It involves developing algorithms and software that allow computers to prove theorems, verify software and hardware systems, and solve logical problems. Automated reasoning is used in areas such as formal verification, artificial intelligence, and knowledge representation, helping to ensure systems behave as intended and are free of certain types of errors.

What are the key skills and qualifications needed to thrive as an automated reasoning engineer?

To thrive as an Automated Reasoning Engineer, you need a strong background in computer science, logic, and formal verification, often supported by an advanced degree in a related field. Familiarity with formal methods tools (such as SMT solvers, model checkers), programming languages like Python, C++, or OCaml, and experience with verification frameworks are typically important. Analytical thinking, problem-solving, and effective communication skills help engineers tackle complex proofs and collaborate with interdisciplinary teams. These skills are crucial for ensuring the reliability and correctness of software and hardware systems in safety-critical environments.

What are some common challenges faced by professionals working in automated reasoning roles?

Professionals in Automated Reasoning often encounter challenges such as handling highly complex logical problems, ensuring the scalability of reasoning algorithms, and integrating automated reasoning tools with existing systems. Collaborating with interdisciplinary teams—including software engineers, data scientists, and domain experts—can present communication hurdles, as explaining formal logic concepts to non-experts is sometimes necessary. Additionally, staying up-to-date with the latest research and advancements in theorem proving and formal verification is crucial for continued success in this rapidly evolving field.

What are popular job titles related to Automated Reasoning jobs in Virginia?

For Automated Reasoning jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Automated Reasoning jobs in Virginia look for?

The top searched job categories for Automated Reasoning jobs in Virginia are:

What cities in Virginia are hiring for Automated Reasoning jobs?

Cities in Virginia with the most Automated Reasoning job openings:

Infographic showing various Automated Reasoning job openings in Virginia as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Developer-Full Stack Specialist with Agentic AI

Technology Ventures

Mclean, VA • On-site

Other

Posted 25 days ago


Job description

Job Title: Developer-Full Stack Specialist with Agentic AI

Location: McLean, VA

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 GitHub, 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:
o Test generation/augmentation
o Requirements review and completeness validation
o 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:

o GitHub Actions (CI/CD pipelines, reusable workflows, composite actions)
o PR checks, branch protections, CODEOWNERS, templates
o Automation via GitHub APIs/webhooks (as needed)

Test automation engineering (framework expertise)
Advanced experience designing and implementing automation with:

o Karate (API testing, contract-like checks, data-driven testing, mocks)
o Playwright (UI automation, selectors strategy, parallelization, trace/video
artifacts)

Strong understanding of test design and coverage:

o Happy path scenarios
o Negative/validation scenarios
o Edge/boundary scenarios
o 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:

o Acceptance criteria completeness
o Required test data and environment dependencies
o 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.