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Senior Software Developer Ai Trainer Jobs (NOW HIRING)

Harnham

Senior Software Engineer AI

Dallas, TX · Hybrid

$60 - $70/hr

Senior Software Engineer - AI Harnham is partnering with an enterprise organisation to hire a Senior Software Engineer (AI) on a contract basis. This role focuses on building and shipping production ...

NVIDIA

Senior Software Engineer, AI Resiliency

Redmond, WA

$137K - $180K/yr

We are currently seeking a Senior Software Engineer to lead the development of AI software ... Hands-on experience in training models or working with model training teams . * Hands-on experience ...

Nvidia

Senior Software Engineer, AI Resiliency

Redmond, WA

$137K - $180K/yr

We are currently seeking a Senior Software Engineer to lead the development of AI software ... Hands-on experience in training models or working with model training teams. * Hands-on experience ...

SOSi

Senior Software Developer

Doral, FL · On-site

$50.50 - $66.50/hr

The Senior Software Developer advances our customer's Enterprise Data Architecture (EDA) by ... CSS3, Nod JS, and AI/ML. * Experience with Python, Grunt, Node, AngularJS, ArangoDB, SQL, SQL ...

SOSi

Senior Software Developer

Doral, FL

$50.50 - $66.50/hr

The Senior Software Developer advances our customer's Enterprise Data Architecture (EDA) by ... CSS3, Nod JS, and AI/ML. * Experience with Python, Grunt, Node, AngularJS, ArangoDB, SQL, SQL ...

RHP Properties

Senior Software Developer

Farmington Hills, MI · On-site

$53.75 - $70.75/hr

We invest in our employees, with regular training, opportunities for advancement, and fun events to ... Utilize AI-assisted coding tools such as Claude Code, Cursor, GitHub Copilot, or similar ...

RHP Staffing

Senior Software Developer

Farmington, MI

$53.75 - $70.75/hr

We invest in our employees, with regular training, opportunities for advancement, and fun events to ... Utilize AI-assisted coding tools such as Claude Code, Cursor, GitHub Copilot, or similar ...

ARA

Senior Software Developer

Fort Belvoir, VA · On-site

$61.75 - $81.50/hr

Experience in developing software using AI-assisted development tools, including coding, debugging ... ARA gives its employees the tools, training, and opportunities to take more active roles as owners.

SAS

Sr Software Developer

Cary, NC · Remote

$51 - $67.25/hr

... in data and AI. Through our software and services, we inspire customers around the world to ... Equivalent combination of related education, training and experience may be considered in place of ...

SAS

Sr Software Developer

Cary, NC · On-site

$51 - $67.25/hr

... in data and AI. Through our software and services, we inspire customers around the world to ... Equivalent combination of related education, training and experience may be considered in place of ...

Samaritan's Purse

Senior Software Developer

Irving, TX · On-site

$52.25 - $69.25/hr

Samaritan's Purse is seeking a Senior Software Developer to join our Information Technology ... Utilize various Artificial Intelligence (AI) tools to assist in optimizing coding speed and ...

Prescient Edge

Senior Software Developer

Doral, FL · On-site

$52.25 - $68.75/hr

Career development opportunities, including on-the-job training, tuition reimbursement, and ... JS, and AI/ML. * Experience with the following technologies: Phyton, Grunt, Node, AngularJS ...

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How much do senior software developer ai trainer jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for senior software developer ai trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

How does a Senior Software Developer AI Trainer typically collaborate with data scientists and product teams?

As a Senior Software Developer AI Trainer, you will regularly work alongside data scientists to design, implement, and refine machine learning models. Collaboration often involves interpreting data requirements, integrating model outputs into applications, and ensuring the scalability and reliability of AI solutions. You’ll also interact with product teams to align AI features with user needs and business goals, often participating in cross-functional meetings to clarify technical constraints and prioritize development tasks. This collaborative environment encourages continuous learning and fosters innovation, making strong communication and teamwork skills essential.

What does a Senior Software Developer AI Trainer do?

A Senior Software Developer AI Trainer is responsible for designing, developing, and refining AI models by providing expert-level training data and feedback. They combine their software development expertise with knowledge of machine learning to help improve the performance, accuracy, and reliability of AI systems. This role often involves collaborating with data scientists, annotating or generating training data, evaluating AI outputs, and ensuring models align with user and business needs. Senior AI trainers also mentor junior team members and contribute to best practices in AI model development and deployment.

What are the key skills and qualifications needed to thrive as a Senior Software Developer AI Trainer, and why are they important?

To thrive as a Senior Software Developer AI Trainer, you need advanced programming skills (such as Python), deep understanding of AI/ML concepts, and experience in software development, often supported by a relevant degree and industry certifications. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems, and cloud computing platforms is typically required. Outstanding communication, mentoring abilities, and problem-solving skills help in effectively guiding junior developers and collaborating across teams. These skills are crucial for driving innovation, ensuring model quality, and fostering talent development within AI-focused projects.

What is the difference between Senior Software Developer Ai Trainer vs Data Scientist?

AspectSenior Software Developer Ai TrainerData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; experience with data analysis
Work EnvironmentTech companies, AI startups, R&D labsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsageDevelops AI models, trains AI systems, collaborates with data teamsAnalyzes data, builds predictive models, interprets complex datasets

While both roles require a strong technical background and experience with machine learning, the Senior Software Developer Ai Trainer focuses on developing and training AI models, often working closely with engineering teams. In contrast, Data Scientists analyze data to extract insights and build models, with a broader focus on data analysis and interpretation. Both roles are vital in AI-driven industries but serve different functions within the AI development lifecycle.

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Senior Software Developer Ai Trainer jobs near you
Infographic showing various Senior Software Developer Ai Trainer job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.
Senior Software Engineer/Developer - AI

Senior Software Engineer/Developer - AI

Pyramid Systems, Inc.

Remote

$125K - $165K/yr

Other

Posted 8 days ago

Job description

Overview
The Senior Principal Software Engineer/Developer - AI serves as a senior, hands-on full-stack AI engineer and technical authority, leading the technical strategy, design, and delivery of large-scale mission-critical AI systems supporting federal programs (e.g., HUD, AIR platform). This role combines senior technical leadership, hands-on expertise in Python-based AI/ML systems (including large language models), and ownership of enterprise architecture, governance, and innovation.
Responsibilities
  • Serve as the primary technical authority, defining AI and application architecture across multiple programs
  • Establish enterprise modernization roadmaps aligned to mission outcomes, compliance, and scalability
  • Lead architecture for distributed, cloud-native, and hybrid AI systems
  • Define and enforce reference architectures, standards, and reusable frameworks
  • Drive cross-program technical decision-making to ensure interoperability, security, and long-term sustainability
  • Advise senior federal stakeholders (SES-level and above) on AI adoption, modernization, and risk management
  • Lead design, development, and deployment of advanced AI solutions using Python as the primary development language, including large language models (LLMs) and foundation models, Retrieval-Augmented Generation (RAG) systems, agentic workflows, and orchestration frameworks
  • Architect and implement scalable ML systems and services built on Python-based frameworks and APIs
  • Build full-stack AI applications end to end, from user-facing interfaces to back-end services, APIs, and data layers
  • Integrate AI and LLM capabilities into existing enterprise applications and legacy platforms (e.g., content management, case management, and records systems) via APIs, middleware, and event-driven patterns
  • Define and implement distributed training strategies (GPU/TPU clusters, parallelization, optimization)
  • Oversee full ML lifecycle in partnership with the Senior Data Scientist: data pipelines, feature engineering, training, evaluation, deployment, and monitoring
  • Drive model optimization techniques (quantization, distillation, caching) to improve performance and cost
  • Establish robust MLOps practices leveraging Python-driven automation, pipelines, and tooling
  • Stand up the enterprise CI/CD-to-AI/MLOps pipeline, beginning with time-boxed proofs of concept and MVP implementations that mature into production systems
  • Serve as subject matter expert in federal AI policy (e.g., NIST AI RMF, OMB M-25-21 and M-25-22, Executive Order 14179)
  • Define and operationalize Responsible AI frameworks, including model validation and evaluation, bias mitigation and fairness, and explainability, auditability, and safety
  • Ensure compliance with FISMA, FedRAMP, NIST 800-53, privacy, and Section 508 requirements
  • Lead large-scale modernization initiatives (e.g., legacy-to-cloud, microservices transformation, including Python-based refactoring and re-platforming efforts)
  • Define repeatable modernization frameworks and accelerators
  • Oversee DevSecOps pipelines, CI/CD automation, zero-trust architectures, and secure software supply chain practices
  • Ensure delivery of resilient, high-availability systems in regulated federal environments
  • Lead multiple concurrent engineering efforts across integrated teams
  • Provide technical leadership to architects, engineers, and DevSecOps specialists, including establishing Python coding standards and engineering best practices
  • Mentor senior engineers and technical leaders; elevate engineering excellence and code quality
  • Support technical strategy in proposals, captures, and client engagements
  • Contribute to thought leadership (whitepapers, architecture patterns, platform strategy)
  • Expert-level proficiency in Python, including building large-scale AI/ML systems, APIs, and data pipelines
  • Full-stack engineering skills, including front-end frameworks, back-end services, RESTful APIs, microservices, and cloud-native deployment (e.g., containers, Kubernetes)
  • Deep expertise in machine learning and deep learning, particularly transformer-based models and LLMs
  • Hands-on experience with ML frameworks (PyTorch, TensorFlow, JAX) and distributed training (DeepSpeed, FSDP, Horovod)
  • Proven ability to integrate AI capabilities into existing and legacy enterprise systems (e.g., legacy CMS or COTS platforms) using APIs, middleware, connectors, and event-driven architectures
  • Strong understanding of large-scale data systems and ML evaluation methodologies
  • Experience working with sensitive data, including PII safeguards such as anonymization, masking, and data loss prevention
  • Experience with enterprise integration technologies, including REST/SOAP services, message queues, ETL pipelines, and SQL/NoSQL databases
  • Expertise designing AI systems in cloud-native, distributed environments across AWS, Azure, and GCP
  • Proficiency with managed generative AI services (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI) and integrating frontier models such as GPT, Claude, and Gemini
  • Hands-on experience with LLM application stacks, including orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel), embeddings, vector databases, and prompt engineering
  • Executive communication skills with experience influencing senior leaders
  • Demonstrated ability to own solutions end to end - from discovery and prototyping through production deployment, integration, and ongoing support
  • Ability to balance strategic vision with deep hands-on technical execution

Qualifications
  • US. Citizenship required
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 12-15+ years of software engineering experience, including significant leadership responsibility
  • 8+ years of applied AI/ML experience, including building and deploying production systems (LLMs, generative AI, and large-scale or distributed model systems) Expert-level Python development experience, including designing production-grade ML systems, data pipelines, and microservices-based architectures
  • Deep experience with cloud platforms (Azure, AWS, GCP), including FedRAMP environments
  • Experience with AI platforms and architectures (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI, RAG, agents)
  • Proven success delivering enterprise-scale systems and modernization programs
  • Strong background in microservices, APIs, distributed systems, and DevSecOps practices
  • Experience managing GPU-based infrastructure or high-performance ML environments
  • Demonstrated ability to translate AI research into production system
  • Active clearance (Public Trust, Secret, or higher) preferred
  • Experience with HUD or federal civilian agencies preferred

Target Pay Range
The below listed pay range for this position is not a guarantee of compensation or salary. The final offered salary will be influenced by a host of factors including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at Pyramid Systems that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits, to include our Employee Stock Ownership Program, FlexPTO, and learning and development opportunities.
Pyramid Min
USD $166,091.00/Yr.
Pyramid Max
USD $210,000.00/Yr.
Why Pyramid?
Pyramid Systems, Inc. is an award-winning, technology leader, driving digital transformation across federal agencies. We empower forward-thinking innovations, accelerate production-ready software, and deliver secure solutions so federal agencies can meet their mission goals. Voted a Top Workplace, both regionally (Washington, DC) and Nationally (USA) the past 2 years (2023 and 2024) based on the feedback from our employees, we are headquartered in Fairfax, VA. and have a growing national footprint. We value and promote our Flexible Workplace approach because of the positive impacts it has on work-life integration. We remain committed to ensuring every employee's voice is heard, performance and results are recognized and rewarded, development and advancement is a focus, and diversity, equity and inclusion is a company priority. We offer competitive compensation and benefits (including a recently launched Employee Stock Ownership Plan - ESOP), a robust performance-based rewards program, and we know how to have fun! Our people and culture have endured and delivered for our clients for nearly three decades.
EEO Statement
Pyramid Systems, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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