Top 211 Backend python developer Jobs in Annapolis Junction, Md

AI Engineer
Platinum Technologies —Washington, DC
- $160,000 - $180,000 a year
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Health savings account
- Health insurance
Quick Apply
Sr. Software Engineer
Embedded Alliance —Gaithersburg, MD
- $160,000 - $192,000 a year
- Full-time
- Azure
- 6 years
- Computer Science
- Health insurance
- Dental insurance
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Full Stack Developer with TS/SCI
OneGlobe LLC —Washington, DC
- Full-time
- Hybrid work
- Background check
- 7 years
- 6 years
- Health insurance
- Dental insurance
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Backend Software Engineer - AI Trainer
DataAnnotation —Rosslyn, VA
- $50 - $100 an hour
- Contract
- Remote
- Mid-level
- In-person
- Flexible schedule
TS Cleared Software Engineer
Amentum —Washington, DC
- $130,000 - $145,000 a year
- 8 hour shift
- Azure
- Computer Science
- Engineering
- Health savings account
- Paid holidays
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9d
Junior Software Engineer
Amentum —Washington, DC
- $95,000 - $110,000 a year
- Full-time
- Computer Science
- Engineering
- Java
- Health savings account
- Paid holidays
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Backend Software Engineer - AI Trainer
DataAnnotation —Towson, MD
- $50 - $100 an hour
- Contract
- Remote
- Mid-level
- In-person
- Flexible schedule
API/Java/Python Developer, SME TS Clearance REQUIRED
CGI Group, Inc. —Arlington, VA
- $88,200 - $190,900 a year
- Azure
- System design
- Mid-level
- Paid parental leave
- Paid holidays
Internal Developer – Internal Tools & AI Driven Projects
FRANdata —Arlington, VA
- $65,000 - $90,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Writing skills
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DevOps Engineer
Leidos —Bethesda, MD
- $107,900 - $195,050 a year
- Full-time
- Computer science
- 6 years
- Computer Science
- Flexible schedule
Full Stack Engineer (Backend)
INSPYR Solutions —Baltimore, MD
- $65 - $70 an hour
- Hybrid work
- Azure
- Computer Science
- 5 years
- Health insurance
- 401(k)
Quick Apply
8d
Associate Director of AI and Data
Axle —Rockville, MD
- $150,000 - $190,000 a year
- Azure
- Computer Science
- HIPAA
- Paid holidays
- Health insurance
Quick Apply
Software Engineer
2HB Incorporated —Annapolis Junction, MD
- Full-time
- Computer Science
- Java
- AWS
Quick Apply
Software Developer (All Levels)
Nyla Technology Solutions —Annapolis Junction, MD
- $168,000 - $288,000 a year
- 8 hour shift
- System design
- 11+ years
- Java
- Loan repayment program
- Health insurance
Quick Apply
Software Engineer - Python/FASApi/JavaScript/JSON/CSS/MongoDB/Docker
Captivation Software —Annapolis Junction, MD
- $130,000 - $270,000 a year
- Computer Science
- 5 years
- Bachelor's degree
- Health savings account
- AD&D insurance
Quick Apply
1d
DevOps Application Engineer
Prodigy One, LLC —Annapolis Junction, MD
- $113,000 - $279,000 a year
- Mid-level
- Profit sharing
- Paid training
Quick Apply
Senior Full-Stack Platform Engineer - Agentic AI
Peraton —Annapolis Junction, MD
- $146,000 - $234,000 a year
- Azure
- Computer Science
- 5 years
- Health savings account
- Paid holidays
Software Engineer
AeroVironment —Annapolis Junction, MD
- $83,500 - $150,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- 5 years
- Paid holidays
- Health insurance
Senior Software Engineer, Python
CyberMaxx —Linthicum, MD
- $120,000 - $140,000 a year
- Remote
- Computer science
- Computer Science
- 5 years
- Health savings account
- Paid holidays
Quick Apply
Full Stack Developer
C-HIT —Columbia, MD
- Computer science
- 7 years
- Computer Science
- Health savings account
- Paid holidays
Quick Apply
7d

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AI Engineer

Platinum Technologies
Washington, DC

Quick Apply

Job Details

Full-time
$160,000 - $180,000 a year

Benefits

Health savings account
Health insurance
Dental insurance
401(k)
Tuition reimbursement
Paid time off
Vision insurance
401(k) matching
Professional development assistance
Life insurance

Qualifications

AI models
Search engines
Zero Trust security
DevSecOps Practices
Systems integration
Software engineering
FedRAMP
Continuous Delivery (CD) implementation
Zero Trust Architecture (Architecture security)
Tooling
Infrastructure as Code (IaC)
Generative models
System design
AI platforms (beyond public GPTs)
Computational framework
Security compliance frameworks implementation
Enterprise software systems development
Prompt engineering
Databases
Information security compliance
System design for system development
Machine learning cloud services
AWS
Machine intelligence
Integration architecture
Model deployment
Developing large-scale AI models
Regulatory Frameworks (Architecture security)
Cloud Native Design
Web applications

Full Job Description

AI EngineerWashington, DCFederal /Full-Time /Hybrid

Who we are! 

Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products – we want to hear from you.

We lead with technical expertise, but that is just the tip of the iceberg – the ‘Why’ matters. At Platinum, we don’t hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients.

You

Platinum Technologies is seeking an AI Engineer to join our company. The AI Engineer will architect and deliver AI and data solutions that solve real mission challenges for federal agencies, from intelligent document retrieval to secure multi-cloud ML platforms. The ideal candidate will be an experienced AI practitioner – with 4+ years of hands-on experience and is comfortable designing AI solutions that are cloud-agnostic, portable across environments, and resilient to vendor lock-in.

You will join our established AI and data solutions development team and contribute your expertise in data science, machine learning, cloud-native architecture, and Generative AI technologies to help drive innovation across federal environments. Your focus will include Machine Learning, Natural Language Processing, Neural Networks, Large Language Models (LLMs), Knowledge Graphs, Retrieval-Augmented Generation (RAG), Multi-Modal AI, and modern AI-enabled web applications.

This role is remote/hybrid in the VA/MD/DC area. There may be occasional travel to client site in Washington D.C.

Required Clearance: Active Public Trust or eligible to obtain on

What You’ll Do

Design and implement AI solutions that operate across multi-cloud and hybrid environments, including Azure, Google Cloud Platform (GCP), and AWS.

Evaluate and recommend hosting, infrastructure, and deployment architectures based on mission requirements, security posture, scalability, portability, and long term maintainability — not tied to a single cloud provider.
Architect AI/ML platforms and applications using cloud-native and containerized technologies that minimize vendor lock-in and maximize interoperability.
Build and modernize web applications using modern full-stack frameworks and AI assisted development tooling to accelerate delivery and improve developer productivity.
Develop sophisticated conversational AI and knowledge management solutions that enable users to securely interact with enterprise data using natural language.
Design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases, semantic search, knowledge graphs, and document processing pipelines.
Lead the design of secure cloud and on-premises AI infrastructure solutions that meet Federal Government and internal compliance requirements.
Define architectural design decisions affecting infrastructure selection, orchestration, model hosting, observability, scalability, and system behavior for AI enabled solutions.
Analyze client requirements and emerging AI technology trends to recommend scalable, compliant, and future-proof architectures.
Participate in design thinking and solution engineering activities to solve complex mission and operational challenges.
Lead whiteboarding and technical strategy sessions with clients, partners, and internal teams.
Communicate findings and recommendations to both technical and non-technical stakeholders, translating complex AI and infrastructure concepts into actionable guidance.
Ensure infrastructure and application architectures support secure software delivery practices including CI/CD, Infrastructure as Code (IaC), automated testing, and model lifecycle management.

Required Skills & Experience

B.S. in Computer Science, Electrical Engineering, Computer Engineering, Data Science, or equivalent experience.
4+ years of experience designing and deploying secure AI and cloud-native solutions in enterprise or federal environments.
Experience working across multiple cloud providers including Azure, AWS, and/or Google Cloud Platform (GCP).
Strong understanding of cloud portability, platform abstraction, Kubernetes/container orchestration, and strategies to avoid vendor lock-in.
Experience designing AI/ML solutions that are LLM-agnostic and capable of integrating with multiple commercial and open-source models (OpenAI, Anthropic, Gemini, Llama, Mistral, etc.).
Experience with Google Vertex AI, AWS Bedrock, Azure AI Foundry, or equivalent AI platform services.
Experience deploying AI workloads on Kubernetes or OpenShift.
Experience with open-source LLM hosting and inference optimization.
Familiarity with MCP (Model Context Protocol), AI orchestration frameworks, and agentic workflows.
Demonstrated experience modernizing web applications using modern front-end and back-end frameworks along with AI-assisted software development tooling.
Strong full-stack engineering capabilities, including user interface development, API design, backend services, and secure application integration.
Experience building conversational AI systems, intelligent search platforms, and enterprise knowledge assistants using RAG architecture.
Experience with vector databases, semantic search technologies, and enterprise search platforms.
Proficiency with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face, or similar ecosystems.
Experience with Infrastructure as Code (Terraform preferred), CI/CD pipelines, containerization, and DevSecOps practices.
Familiarity with AI observability, model evaluation, prompt engineering, and AI governance practices.
Experience implementing secure AI systems in regulated federal environments.
Knowledge of federal compliance and security frameworks including FISMA, RMF, FedRAMP, NIST 800 series, Zero Trust Architecture, and cloud security controls.
Strong oral and written communication skills, including client-facing presentations, architecture discussions, and technical strategy development.

Preferred Qualifications

Experience supporting federal digital transformation or modernization initiatives.
Experience designing secure hybrid-cloud or disconnected AI environments for government clients.
Familiarity with AI Act and AI governance policy.
Prior experience in consulting or client-facing delivery

The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information.  

$160,000 - $180,000 a year

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Pay: $160,000.00 - $180,000.00 per year

Benefits:

401(k)
401(k) matching
Dental insurance
Health insurance
Health savings account
Life insurance
Paid time off
Professional development assistance
Tuition reimbursement
Vision insurance

Work Location: Hybrid remote in Washington, DC 20591

Quick Apply

Refine Your Search

backend python developer jobs in annapolis junction, md

AI Engineer

Sr. Software Engineer

Full Stack Developer with TS/SCI

Backend Software Engineer - AI Trainer

TS Cleared Software Engineer

Junior Software Engineer

Backend Software Engineer - AI Trainer

API/Java/Python Developer, SME TS Clearance REQUIRED

Internal Developer – Internal Tools & AI Driven Projects

DevOps Engineer

Full Stack Engineer (Backend)

Associate Director of AI and Data

Software Engineer

Software Developer (All Levels)

Software Engineer - Python/FASApi/JavaScript/JSON/CSS/MongoDB/Docker

DevOps Application Engineer

Senior Full-Stack Platform Engineer - Agentic AI

Software Engineer

Senior Software Engineer, Python

Full Stack Developer

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