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Python Ai Developer Jobs in Riverside, CA (NOW HIRING)

Senior AI Engineer

Irvine, CA · On-site

$56 - $61/hr

Strong programming skills (Python preferred). * Experience with Databricks and Apache Spark ... Develop backend services exposing AI capabilities through secure and scalable APIs. * Define best ...

AI Architect

Irvine, CA · On-site

$67.50 - $89/hr

CI/CD & DevOps Practices * Observability (Logging, Monitoring, Tracing) * At least 8+ years of experience in AI/ML, Data Science, or Software Engineering * Strong Python backend development ...

Required : • Bachelors degree or equivalent practical experience in software engineering, applied AI, or a related technical domain. • Strong Python proficiency and experience shipping production ...

Proficiency in at least one server-side language (Ruby, Python, Go, Java, or equivalent) and one ... Experience authoring or extending AI developer tooling -- custom skills, slash commands, MCP ...

Proficiency in at least one server-side language (Ruby, Python, Go, Java, or equivalent) and one ... AI Tooling Builder: Experience authoring or extending AI developer tooling - custom skills, slash ...

At least 8+ years of experience in AI/ML, Data Science, or Software Engineering Strong Python backend development experience Hands-on experience with LLM-enabled applications and Generative AI ...

AI Architect

Irvine, CA · Hybrid

$75 - $80/hr

At least 8+ years of experience in AI/ML, Data Science, or Software Engineering * Strong Python backend development experience * Hands-on experience with LLM-enabled applications and Generative AI

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Python Ai Developer information

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How much do python ai developer jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for python ai developer in Riverside, CA is $61.16, according to ZipRecruiter salary data. Most workers in this role earn between $50.38 and $69.47 per hour, depending on experience, location, and employer.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

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

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.
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Senior AI Engineer

Senior AI Engineer

CYNET SYSTEMS

Irvine, CA • On-site

$56 - $61/hr

Contractor

Posted 13 days ago


Job description

Job Overview:

Pay Range: $56hr - $61hr

Requirement/Must Have:

  • 1+ years of experience in Generative AI / LLM systems (RAG, embeddings, prompt engineering).
  • Hands-on experience with AWS ecosystem.
  • Expertise in OpenSearch (vector search), Neptune (graph databases), DynamoDB and Redis (ElastiCache).
  • Strong programming skills (Python preferred).
  • Experience with Databricks and Apache Spark.
  • Solid understanding of data pipelines, distributed systems, and API design.

Responsibilities:

  • Build and operationalize LLM-powered applications using Retrieval-Augmented Generation (RAG), embeddings pipelines, and prompt orchestration frameworks.
  • Design and implement vector search systems using Amazon OpenSearch.
  • Develop graph-based knowledge systems using Amazon Neptune for relationships, lineage, and explainability.
  • Integrate supporting infrastructure such as Amazon ElastiCache (Redis) for session state and caching, and DynamoDB for scalable, low-latency data access.
  • Implement agentic workflows using frameworks such as LangGraph, AutoGen, CrewAI (or equivalent).
  • Integrate with LLM frameworks like LangChain, LlamaIndex for tool calling, retrieval orchestration, and context management.
  • Define standards for tool integration and context-sharing patterns.
  • Evaluate LLM models and retrieval strategies across latency, cost, accuracy, and context limitations.
  • Design and build scalable data pipelines using Databricks and Apache Spark.
  • Implement data ingestion and transformation pipelines, document processing, and embedding generation.
  • Ensure high data quality standards including validation, completeness, consistency, and monitoring.
  • Implement data governance frameworks including data classification, access controls, retention policies, and auditability.
  • Develop backend services exposing AI capabilities through secure and scalable APIs.
  • Define best practices for API contracts, reliability, and enable reusability of platform capabilities.
  • Build and manage CI/CD pipelines for AI and data workloads.
  • Deploy production systems using Docker and Kubernetes.
  • Implement deployment strategies including blue/green deployments, canary releases, rollback strategies, and feature flags.
  • Ensure system reliability through monitoring, alerting, observability, and secrets management.
  • Define and track GenAI quality metrics including grounding, retrieval relevance, response consistency, latency, and cost per request.
  • Implement prompt/version tracking and continuous improvement workflows.
  • Implement secure AI systems with access control, data protection policies, and responsible AI guardrails.
  • Ensure compliance with best practices in AI safety, data privacy, monitoring, and auditability.

Nice to Have:

  • Experience with model evaluation frameworks and LLM observability tools.
  • AI governance and compliance frameworks.
  • Kubernetes and advanced MLOps practices.
  • Familiarity with Model Context Protocol (MCP) patterns and agent-based architectures.

Skills:

  • Strong problem-solving and analytical thinking.
  • Ability to communicate complex AI concepts clearly.
  • Collaborative and cross-functional mindset.
  • Ownership-driven and proactive execution.

Qualification And Education:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
  • Proven experience building production-grade AI platforms and systems.
  • Strong background in end-to-end AI/ML lifecycle delivery.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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