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New Grad Ai Software Engineer Jobs in Washington

Credence

Senior AI Software Engineer

Mclean, VA · On-site

$123K - $163K/yr

Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor ...

Credence

Senior AI Software Engineer

Mclean, VA

$123K - $163K/yr

Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor ...

Knexus

AI Software Engineer (Remote)

Vienna, VA · Remote

We're looking for an experienced AI Software Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote position for candidates in the continental U.S., with work ...

Dark Wolf Solutions

AI Software Engineer

Chantilly, VA · Remote

$120K - $160K/yr

Dark Wolf is seeking a highly skilled Senior AI Engineer to architect, build, and deploy advanced ... Ability to connect AI models with existing legacy software, APIs, and document management systems ...

New

Credence

Senior AI Software Engineer

Mclean, VA · On-site

$155 - $200/hr

Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor ...

Credence

Senior AI Software Engineer

Mclean, VA · On-site

$123K - $163K/yr

Position Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor ...

Booz Allen Hamilton

AI Software Engineer

Arlington, VA · On-site

$86K - $198K/yr

R0230233 AI Software Engineer The Opportunity: As an artificial intelligence (AI) sof tware engineer, you know that good sof tware is more than just a nice-looking interface and data. Today, you need ...

NetSage

AI Software Engineer-Principal

Annapolis, MD · On-site

$133K - $179K/yr

We are seeking a Principal Artificial Intelligence (AI) Software Engineer to design and deliver advanced artificial intelligence and machine learning (AI/ML) solutions that enhance intelligence ...

IQUASAR LLC

Sr AI Software Engineer

Sterling, VA · Remote

$125K - $165K/yr

Senior AI Software Engineer * Location: Remote * Developing software solutions by studying information needs, conferring with users, studying systems flow, data usage, and work processes ...

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All JobsNew Grad Ai Software Engineer JobsNew Grad Ai Software Engineer Jobs in Washington

New Grad Ai Software Engineer information

What does a new grad AI software engineer do?

A New Grad AI Software Engineer is an entry-level professional who designs, develops, and tests artificial intelligence systems and applications. They often work with machine learning models, data processing, and software development tools to build intelligent solutions. Their responsibilities may include coding, debugging, collaborating with senior engineers, and staying updated on the latest AI techniques. This role provides valuable hands-on experience and opportunities to contribute to innovative AI projects while learning from experienced colleagues.

What are the key skills and qualifications needed to thrive as a new grad AI software engineer, and why are they important?

To thrive as a New Grad AI Software Engineer, you need a strong background in computer science fundamentals, programming (Python, Java, or C++), and a solid understanding of machine learning concepts, often supported by a relevant bachelor's or master's degree. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data processing tools, and knowledge of cloud platforms like AWS or Azure are typically required. Strong problem-solving abilities, a willingness to learn, and effective teamwork and communication skills help new grads stand out. These skills and qualities enable engineers to contribute to complex AI projects, adapt to evolving technologies, and collaborate effectively within multidisciplinary teams.

What are some common challenges faced by new grad AI software engineers in their first year on the job?

New grad AI Software Engineers often face the challenge of bridging the gap between academic knowledge and real-world application. Adapting to large, production-level codebases, collaborating effectively within cross-functional teams, and learning to balance experimentation with delivery timelines are common hurdles. Additionally, keeping up with rapidly evolving AI technologies while mastering company-specific tools and workflows can be demanding. However, mentorship programs and regular code reviews are typically in place to support new grads as they grow into their role.

What is the difference between New Grad Ai Software Engineer vs Ai Software Engineer?

AspectNew Grad Ai Software EngineerAi Software Engineer
Required CredentialsBachelor's degree in CS, AI, or related field; internship experience preferredBachelor's or Master's degree; 1+ years experience often required
Work EnvironmentEntry-level, collaborative teams, mentorship programsMid-level to senior teams, more independent responsibilities
Employer & Industry UsageTech companies, startups, research labs hiring new graduatesEstablished companies, industry projects, ongoing AI development

The main difference between a New Grad Ai Software Engineer and an Ai Software Engineer is experience level. The new graduate role is designed for recent graduates with limited professional experience, focusing on learning and growth. In contrast, an Ai Software Engineer typically has more experience, handling complex projects independently. Both roles require a strong foundation in AI and software development, but the level of responsibility and independence increases with experience.

What are popular job titles related to New Grad Ai Software Engineer jobs in Washington?

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Cities in Washington with the most New Grad Ai Software Engineer job openings:

New Grad Ai Software Engineer jobs near you

AI Software Engineer - Expert

Dark Wolf Solutions

Chantilly, VA

$165K - $200K/yr

Full-time, Contractor

Posted 3 days ago

New

Job description

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges.
Dark Wolf is seeking an AI Software Engineer - Expert to lead the technical architecture, optimization, and implementation of high-throughput AI platforms. You will be responsible for building complex agentic LLM workflows, optimizing model performance for resource-constrained environments, managing multi-cloud architecture, and driving software engineering best practices across development pods.

Key Responsibilities

  • Lead the architectural execution and implementation of enterprise AI applications and complex agent workflows.
  • Optimize model inference speed, memory efficiency, and quantization techniques for air-gapped deployments.
  • Design resilient multi-cloud container infrastructure using Infrastructure as Code (IaC) tooling.
  • Establish security scanning frameworks and lead vulnerability remediation efforts across production systems.
  • Serve as a technical lead, driving Agile sprint deliverables, managing technical debt, and mentoring engineering teams.

Required Qualifications:

  • Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.
  • Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master's degree preferred).
  • Experience: 7-10+ years of software engineering and systems architecture experience, with demonstrated leadership.

Technical Competencies:

  • AI Frameworks: Advanced knowledge of RAG architectures, framework customization, and orchestration strategies.
  • AI Models: Expertise in model quantization, distillation, and custom multi-agent system design.
  • Machine Learning: Extensive experience with MLOps pipeline automation, model inference optimization, and deployment lifecycle.
  • Programming & Scripting: High-level mastery of Python, C++, Go, and asynchronous programming design.
  • Containerization: Deep experience with Kubernetes cluster management, service mesh integration, and orchestration.
  • Agile Frameworks: Proven experience acting as a Technical Pod Lead or Scrum Master driving development execution.
  • Multi-Cloud Architecture: Multi-cloud systems architecture experience using Terraform and cloud-native frameworks.
  • Security Scanning Tooling: Expert knowledge of DevSecOps security integrations, compliance checks, and remediation strategies.

Desired Qualifications:

  • Advanced Certifications: AWS Certified Solutions Architect, Certified Information Systems Security Professional (CISSP), or Certified Kubernetes Administrator (CKA).
  • Proven track record deploying complex AI models in classified, air-gapped intelligence networks.


Position Clearance Requirement:

US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph


Location: Chantilly/Herndon, VA.

Target Salary Range: $165,000.00 – $200,000.00 (Commensurate with specialized expertise and technical skillset).


Equal Opportunity Employer:

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.