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Ai Optimization Jobs in Washington (NOW HIRING)

Hybrid, Washington, DC · Employment Type: Full-time Salary range: $150,000 - $250,000 About BluJuniper BluJuniper is an AI and optimization company that builds advanced software systems for complex ...

Senior Mobile Developer

Washington, DC · On-site

$125 - $225/hr

Hybrid, Washington, DC · Employment Type: Full-time Salary range: $125,000 - $225,000 About BluJuniper BluJuniper is an AI and optimization company building advanced software systems for complex ...

New

Collaboratively work with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission ...

Software Engineer (AI Infrastructure)

Columbia, MD · On-site

$170K - $201K/yr

Experience with high-volume web application architecture and performance optimization * Strong ... Experience with AI inference serving technologies (vLLM, LiteLLM, etc.) * Previous experience with ...

Educate stakeholders with editorial SEO, AI, and Discover trainings, new best practice documentation, and wider team presentations * Leverage SEO strategies and tactics combined with direct traffic ...

... optimization, and AI observability/monitoring tools. • Experience with vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows. • Experience designing and ...

AI Engineer

Alexandria, VA · On-site

$180 - $240/hr

GPU Inference Optimization * RAG Architectures Soft Skills * Collaboration * Problem Solving ... AI Systems * Agentic AI * Analytical Platforms * Hybrid Teams * Complex Challenges Tools ...

New

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ...

Showing results 21-40

Ai Optimization information

What are common challenges faced by professionals in AI optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.

What are the key skills and qualifications needed to thrive as an AI optimization specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, efficiency, or accuracy of artificial intelligence systems. AI optimization specialists often work with machine learning models, tuning parameters, and using tools like Python or TensorFlow to enhance AI capabilities. Strong analytical skills and knowledge of optimization techniques are essential for this role.

Which AI Optimization job is highly paid?

Senior AI Optimization engineers and machine learning engineers specializing in AI model efficiency and deployment tend to have the highest salaries in the field. These roles often require advanced skills in deep learning, programming, and data analysis, and they typically command higher compensation due to their technical complexity and impact on business performance.

What are popular job titles related to Ai Optimization jobs in Washington?

For Ai Optimization jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Ai Optimization jobs in Washington look for?

The top searched job categories for Ai Optimization jobs in Washington are:

What cities in Washington are hiring for Ai Optimization jobs?

Cities in Washington with the most Ai Optimization job openings:

Infographic showing various Ai Optimization job openings in Washington as of August 2026, with employment types broken down into 74% Full Time, 17% Part Time, 2% Temporary, and 7% Contract. Highlights an 60% Physical, 4% Hybrid, and 36% Remote job distribution.

Senior Backend Engineer, Navigation & Spatial Systems

BluJuniper, Inc.

Washington, DC • On-site

$120 - $150/hr

Other

Medical, Dental, Vision

Posted 3 days ago

New


Job description

BluJuniper is an AI and optimization company building advanced software systems for complex operational environments. Our work spans cloud native platforms, computer vision, natural language processing, data infrastructure, secure collaboration, and mission focused AI/ML applications.

We are looking for a Senior Backend Engineer to help build backend systems that support navigation, spatial workflows, and data modeling for complex 3D environments. This role combines backend engineering, schema design, event driven systems, and spatially aware platform services.

About the Role

As a Senior Backend Engineer, you will design and implement services that support navigation related capabilities while also helping define the data models, schemas, APIs, and event structures needed to represent complex spatial information. You will work across cloud services, data pipelines, authentication, and integration points across the broader platform.

This role is ideal for an engineer with strong experience in Go, C++, or a similar object oriented or lower level programming language. Depending on the needs of the platform, this role may involve production development in Go or C++.

Responsibilities
  • Design and develop backend services using Go, C++, or a similar object oriented or lower level programming language.
  • Build backend services that support navigation, spatial workflows, routing, and movement through or around complex 3D environments.
  • Develop and maintain data schemas, domain models, event structures, persistence strategies, and data access patterns for spatial and platform data.
  • Design service to service communication patterns, API contracts, event flows, and integration points between distributed services.
  • Build backend infrastructure for authentication, authorization, role based access control, and customer onboarding workflows.
  • Build event driven systems using Apache Kafka or comparable messaging technologies.
  • Partner with product, frontend, AI/ML, DevOps, and security stakeholders to translate requirements into well structured backend services.
  • Work closely with computer vision, NLP, and AI/ML teams where backend services intersect with model driven workflows.
  • Improve system performance, scalability, reliability, and debuggability across production services.
  • Participate in design reviews, code reviews, implementation planning, and production readiness efforts.
Required Qualifications
  • 5+ years of professional backend, systems, or navigation technology experience.
  • Strong proficiency in Go, C++, Java, Rust, or a similar object oriented or lower level programming language.
  • Experience designing and operating cloud based architectures on AWS, Azure, GCP, or similar cloud platforms.
  • Strong understanding of microservice architecture, service boundaries, API design, inter service communication, and distributed systems tradeoffs.
  • Experience with data modeling, schema design, relational and/or non relational databases, and long term data maintainability.
  • Experience with Apache Kafka, event driven architectures, message queues, or stream processing systems.
  • Experience designing authentication and authorization systems, including role based access control.
  • Experience with navigation systems, spatial systems, routing, mapping, simulation, robotics, 3D environments, or related technical domains.
  • Strong debugging and performance analysis skills in production systems.
Preferred Qualifications
  • Experience designing backend data models or schemas for complex technical systems.
  • Experience building high performance services or low latency backend components.
  • Experience with Kubernetes, Docker, infrastructure as code, CI/CD, and modern DevOps practices.
  • Familiarity with secure software development practices, audit logging, secrets management, and least privilege access design.
  • Experience working with computer vision, natural language processing, or AI/ML teams.
Work Authorization and Clearance Eligibility

Candidates must be legally authorized to work in the United States. An active U.S. government security clearance is not required for this role. Candidates who currently hold, have previously held, or may be eligible to obtain and maintain a U.S. government security clearance are preferred. Certain customer, contract, or regulatory requirements may require additional eligibility verification.

  • Health, dental, and vision benefits for eligible employees.
  • Flexible work environment.
  • Opportunity to work on advanced computer vision, natural language processing, AI, optimization, and backend infrastructure problems.
  • High impact role with meaningful ownership over technical direction.
  • Collaborative team environment with direct visibility into product and company strategy.

BluJuniper is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status under applicable law.

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