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Gen Ai Software Developer Jobs in California (NOW HIRING)

Qualitest Group

Gen AI Architect

Santa Clara, CA · On-site

$74.50 - $98/hr

We are looking for a Gen AI Architect to join our growing team in United States! Role Overview: The ... Required Skills & Experience: * 15+ years in software engineering, solution architecture, or ...

Qualcomm

AI Software Developer, Staff

San Diego, CA · On-site

The AI Software Developer, Staff will design and implement advanced AI solutions, collaborating with cross-functional teams to address complex business challenges using Generative AI and software ...

Mercor

AI Software Developer

San Francisco, CA · Remote

$90 - $110/hr

Position: Senior Software Engineer, Full Stack (Python, Java, Rust, C#, C++) Type: Contract ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

Qualcomm

AI Software Developer, Staff

San Diego, CA · On-site

AI Software Developer, Staff As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help ...

Booz Allen Hamilton

AI Software Developer

San Diego, CA · On-site

R0246508 AI Software Developer The Opportunity: Are you looking to bring strong hands-on technical skills , including sof tware and integration, to cybersecurity and mission challenges affecting Navy ...

Qualitest Group

Gen AI Architect

Santa Clara, CA · On-site

$74.50 - $98/hr

We are looking for a Gen AI Architect to join our growing team in United States! Job Overview: We ... Science, Engineering, or related technical discipline. * 10+ years in software development ...

EarnIn

Software Engineer (Gen AI)

Mountain View, CA · Hybrid

$181K - $222K/yr

Continuously explore better ways to design, iterate, and improve how we build with AI. WHAT WE'RE LOOKING FOR * 3+ years of experience in software engineering * A bachelor's, or equivalent industry ...

Teklead Corp

Sr Python Developer

Agoura Hills, CA · On-site

$66 - $77/hr

Westlake Village, CA (Onsite, NO REMOTE) Excellent contract-to-hire job opportunity As a Software ... Gen AI, Agentic AI is a plus. ● Ability to work in an Agile environment. ● Excellent ...

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Gen Ai Software Developer information

What is a Gen AI software developer?

A Gen AI Software Developer is a professional who designs, builds, and maintains software systems that leverage generative artificial intelligence models, such as large language models (LLMs) or generative adversarial networks (GANs). Their work often involves training, fine-tuning, and deploying AI models to generate content, automate tasks, or enhance user experiences in applications. They need strong programming skills, a solid understanding of machine learning principles, and familiarity with AI frameworks. Gen AI Software Developers collaborate with data scientists, engineers, and product teams to deliver innovative AI-driven solutions. As generative AI becomes more prevalent, these developers play a key role in shaping the future of software development.

What are the key skills and qualifications needed to thrive as a Gen AI software developer, and why are they important?

To thrive as a Gen AI Software Developer, you need strong programming skills (especially in Python), a background in computer science or a related field, and expertise in machine learning and deep learning principles. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of version control systems are typically required, along with certifications in AI or data science being advantageous. Creative problem-solving, collaboration, and effective communication help developers work across technical and non-technical teams and drive innovation. These skills ensure the development of robust, scalable AI solutions that address real-world needs and integrate seamlessly within organizations.

How do Gen AI software developers typically collaborate with data scientists and product managers during the development process?

Gen AI Software Developers regularly work alongside data scientists to translate machine learning models into scalable, production-ready applications. They collaborate closely with product managers to understand user requirements and ensure that AI-powered features align with business goals. This teamwork often involves participating in cross-functional meetings, iterative feedback cycles, and joint problem-solving sessions to address technical challenges and optimize model performance. Clear communication and a shared understanding of project objectives are essential for success in this collaborative environment.

What is the difference between Gen Ai Software Developer vs Machine Learning Engineer?

AspectGen Ai Software DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming skills
Work EnvironmentTech companies, startups, AI-focused teamsResearch labs, tech firms, AI/ML departments
Employer & Industry UsageAI product development, software solutionsModel development, data analysis, AI system deployment
Common Search & ComparisonFocuses on AI application development in softwareFocuses on building and optimizing ML models

While both roles involve AI and require programming skills, Gen Ai Software Developers primarily focus on creating AI-powered software applications, whereas Machine Learning Engineers specialize in designing, building, and optimizing machine learning models. The roles often overlap but differ in their core focus and typical work environments.

What are popular job titles related to Gen Ai Software Developer jobs in California?

For Gen Ai Software Developer jobs in California, the most frequently searched job titles are:

What job categories do people searching Gen Ai Software Developer jobs in California look for?

The top searched job categories for Gen Ai Software Developer jobs in California are:

What cities in California are hiring for Gen Ai Software Developer jobs?

Cities in California with the most Gen Ai Software Developer job openings:

Gen Ai Software Developer jobs near you
Infographic showing various Gen Ai Software Developer job openings in California as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 9% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Gen AI Software Development Engineer

Advanced Micro Devices, Inc

Santa Clara, CA • On-site

$178K/yr

Full-time

Re-posted 21 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

27th of 159 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE:
We are building a platform where autonomous AI agents run hardware validation campaigns, triage failures, and continuously grow a shared knowledge base - without a human in the loop. You will be a core engineer on this system, designing and building the LLM agent framework, RAG pipelines, MCP backend, and developer tooling that make it work. This role sits within the Global Cluster Engineering organization, where you will develop software that powers distributed infrastructure at global scale. This is an AI-native software engineering role: you will spend your time building multi-agent orchestration systems, retrieval-augmented generation pipelines, tool-use frameworks, and knowledge graph integrations. You do not need deep hardware domain knowledge - but intellectual curiosity about how firmware validation and network hardware works will help you build better tools for the engineers who do. We are hiring two Senior Software Engineers into this role; specific areas of ownership will be shaped by each person's strengths and interests.
THE PERSON:
  • Experience: software development experience, with a strong portfolio of production systems
  • AI-Native Development: Genuine passion for building AI-native software - you follow the field, have shipped real LLM-powered systems, and care about getting the details right (grounding, evaluation, failure modes, not just prompts)
  • RAG Systems: Hands-on experience building RAG pipelines - embedding models, vector databases, chunking strategies, retrieval evaluation, hybrid search, and reranking
  • LLM Engineering: Production experience with LLM tool use, multi-agent orchestration, prompt engineering, context management, and hallucination mitigation
  • Core Skills: Strong proficiency in one or more modern programming languages such as Python, TypeScript/Node.js, Go, Java, C#, or Rust, with demonstrated ability to build and operate production-scale services. Python experience is preferred due to the AI/ML ecosystem
  • Engineering excellence: Async programming, API design, distributed systems, clean code practices. Experience designing for reliability in automated/unattended environments - crash recovery, audit trails, state management, observability
  • Cloud Infrastructure: Experience with AWS, Azure, or GCP - infrastructure provisioning, managed services, networking, and deploying production workloads at scale
  • AI Tooling: Active use of AI coding assistants and LLM-powered developer tools (Claude Code, GitHub Copilot, Cursor, etc.) to accelerate development and problem-solving

KEY RESPONSIBILITIES:
  • Agent Orchestration: Design, build, and maintain the AI agent orchestration layer - multi-agent dispatch, context window management, anti-hallucination guardrails, progress tracking, crash recovery, audit trails, and inter-agent communication protocols
  • RAG Pipeline Development: Build and continuously improve the retrieval-augmented generation pipeline - document ingestion from Slack, GitHub, Jira, and Confluence; chunking and embedding strategies; hybrid vector + keyword search; cross-encoder and LLM-based reranking; knowledge graph indexing via LightRAG + Neo4j
  • Developer Experience & User Interfaces: Build intuitive web applications and developer experiences enabling engineers to interact with AI agents, knowledge systems, validation workflows, observability dashboards, and operational tooling. Experience building modern web applications using React, Next.js, Angular, Vue, or similar frameworks.
  • Backend Systems: Design and implement distributed services, APIs, event-driven architectures, and microservices powering AI workflows and platform integrations.
  • AI Services: Design and implement scalable, low-latency AI services powering metadata generation, feature extraction, and knowledge retrieval - ensuring agents have accurate, grounded context at query time
  • LLM-Powered Tooling: Build LLM-powered developer tooling - automated test plan generation, test case quality auditing, AI-driven failure triage, autonomous knowledge curation after every test run, and intelligent report generation
  • Agentic AI Deployment: Develop and deploy agentic AI solutions - autonomous agents, multi-agent orchestration frameworks, and LLM-powered workflows - that transform validation operations across hardware teams
  • Stakeholder Collaboration: Work closely with validation engineers, hardware teams, and engineering peers to translate business and domain requirements into flexible, well-designed software solutions
  • Security & Compliance: Ensure AI/ML systems comply with security standards and best practices, addressing data privacy and protection concerns across all LLM integrations, RAG pipelines, and credential-handling systems
  • End-to-End Ownership: Own features end-to-end - from project estimation and architecture review through coding, deployment, and post-launch measurement
  • Operational Excellence: Build resilient systems with strong observability; implement automated testing, monitoring, and CI/CD pipelines using infrastructure-as-code tools (Terraform); participate in on-call rotations and drive root-cause analysis and reliability improvements
  • Code Quality: Write clean, well-tested, maintainable code - other engineers and agents depend on what you build; quality directly affects system reliability
  • Onboarding: Collaborate with validation engineers to translate domain knowledge into agent skills and onboard new product teams onto the platform

PREFERRED EXPERIENCE:
  • Design and implement distributed services, APIs, event-driven architectures, and microservices powering AI workflows and platform integrations.
  • Experience with the Model Context Protocol (MCP) or agentic platforms (Claude Code, LangGraph, CrewAI, AutoGen)
  • Familiarity with knowledge graph systems (Neo4j, LightRAG) or graph-augmented RAG
  • Background in the semiconductor, datacenter, or networking industry - high-level understanding of how hardware validation or firmware development works
  • Experience with CI/CD systems and automated test infrastructure
  • Exposure to Slack API, GitHub API, or Atlassian REST APIs
  • Data Engineering & Analytics: Experience with data pipeline design, ETL workflows, data warehousing, or analytics platforms is a plus

ACADEMIC CREDENTIALS:
BS or MS Degree in Computer Science, Electrical Engineering, or related field
LOCATION:
Santa Clara
Austin or Seattle or Secaucus
#LI-KW1
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

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