AI Software Engineer
Ptrglobal
McLean, VA · Posted November 11, 2026
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Where McLean, VA ranks
Where McLean, VA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best all-round cities for mid-career professionals in the Mid-Atlantic79 / 100 · of 37
- #1Best all-round cities for mid-career professionals in the Southeast78 / 100 · of 33
- #1Best all-round cities for AI careers in the Southeast91 / 100 · of 33
- #2Best cities for AI-skill jobs in the Southeast17% · of 87
- #2Best all-round cities for AI careers in the Mid-Atlantic89 / 100 · of 37
- #3Best cities for entry-level jobs that want AI skills in the Southeast10% · of 77
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
How AI is used in this kind of work
Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
Position: Developer-Full Stack Specialist
Location: McLean, Virginia
Duration: Contract
Job ID: 181215
Job Overview:
This role is for a highly skilled Developer-Full Stack Specialist to support the modernization of an operational data store and trade data capture processes. The position focuses on full stack development, real-time data transfer, and the integration of AI/ML technologies into data pipelines and migration efforts. The successful candidate will work closely with cross-functional teams to design and implement contemporary data transfer methodologies, leverage AI for automation and optimization, and help drive enterprise innovation through modern architectures and tools.
Responsibilities:
Design and implement contemporary, real-time data transfer methodologies into a modern OLTP data store.
Leverage AI technologies to accelerate data migration, improve data reconciliation, and support smooth user transitions from legacy systems.
Support the modernization of operational data stores and trade data capture processes, moving from batch file transfers to real-time event-driven architectures.
Develop and maintain backend services, including RESTful APIs, ensuring scalability, reliability, and performance.
Contribute to both backend and frontend development as a full stack engineer, ensuring seamless end-to-end solutions.
Integrate AI/ML solutions into data pipelines, complex migrations, and system reconciliation workflows.
Work with Apache Kafka for installation, configuration, and development of streaming solutions.
Collaborate closely with architecture, security, networking, platform, and application teams to ensure alignment and successful delivery of AI-enabled solutions.
Apply real-time analytics and event-driven architecture principles to enhance data availability and decision-making.
Utilize CI/CD platforms and DevOps practices to automate build, test, and deployment processes.
Implement logging, monitoring, and observability for services and data pipelines to ensure system health and reliability.
Work with databases (SQL and NoSQL), microservices, containers, and serverless frameworks as part of solution design and implementation.
Participate in technical discussions, design reviews, and code reviews, providing leadership and guidance to peers.
Communicate effectively with stakeholders, providing clear updates on progress, risks, and technical decisions.
Demonstrate strong leadership, ownership, and self-direction in driving initiatives to completion.
Qualifications:
8–10 years of hands-on experience in application development, with a strong focus on modern technologies.
8+ years of hands-on experience with programming languages and frameworks such as Java or Python.
3+ years of experience in backend service development, including RESTful API design and implementation.
Practical experience integrating AI/ML solutions into data pipelines, complex migrations, and system reconciliation efforts.
Proven hands-on experience with Apache Kafka, including installation, configuration, and development.
Familiarity with cloud platforms (primarily AWS) and containerization technologies such as Docker and Kubernetes is a plus.
Background in real-time analytics and event-driven architecture is preferred.
Experience with CI/CD platforms and related DevOps tools and practices.
Strong knowledge of data streaming concepts and distributed systems.
Hands-on experience with multiple technologies, including APIs, microservices, event streaming, logging and monitoring, SQL and NoSQL databases, containers, serverless frameworks, and DevOps tooling.
Bachelor’s degree in Computer Science or a related field, or equivalent experience required; advanced studies or an advanced degree is preferred.
Demonstrated ability to work full-time on-site as required by the role.
Must have working knowledge of AI and migrating legacy systems using AI (at least 1–3 years of relevant experience).
At least 8+ years of overall development experience in enterprise environments.
Highly motivated and self-driven, with strong ownership of deliverables and outcomes.
Strong verbal and written communication skills, with the ability to explain complex technical concepts to diverse audiences.
Proven partnership and collaboration skills, with experience working across architecture, security, networking, platform, and application teams.
Demonstrated leadership skills, including the ability to influence, mentor, and guide team members.
Eligible to work in the United States without sponsorship, and able to be engaged as a direct W-2 employee through a vendor.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com
At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:
Pay any fee to be considered for, submitted to, or selected for any opportunity.
Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.
Pay Range: $80- $90/hr
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com
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