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Assistant Llm Developer Jobs in California (NOW HIRING)

Ironflow AI

AI/LLM Integration Engineer

San Diego, CA

$110K - $148K/yr

As our AI/LLM engineer, you won't just write prompts -- you'll define how the system thinks. You'll ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

SpaceX

Data Engineer (Starlink)

Hawthorne, CA · On-site

$145K - $175K/yr

Experience building AI agents, LLM-powered applications, or tool-using assistants that integrate ... comparable LLM developer tooling is a plus * Experience with agent evaluation, guardrails ...

SpaceX

Data Engineer (Starlink)

Hawthorne, CA · On-site

$145K - $175K/yr

Experience building AI agents, LLM-powered applications, or tool-using assistants that integrate ... comparable LLM developer tooling is a plus * Experience with agent evaluation, guardrails ...

SpaceX

Data Engineer (Starlink)

Hawthorne, CA

$145K - $175K/yr

Experience building AI agents, LLM-powered applications, or tool-using assistants that integrate ... comparable LLM developer tooling is a plus * Experience with agent evaluation, guardrails ...

BrightAI

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$123K - $168K/yr

... language models to assist technicians in troubleshooting complex industrial issues ... LLM architectures, retrieval methods, and prompt engineering, and integrate emerging techniques ...

BrightAI

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$123K - $168K/yr

The role involves developing intelligent tools to assist technicians in troubleshooting complex ... LLM architectures, retrieval methods, and prompt engineering, and integrate emerging techniques ...

BrightAI

Senior AI Engineer - LLM, RAG

Palo Alto, CA · On-site

$123K - $168K/yr

... assistants to support technicians in diagnosing and resolving anomalies or failures in factory ... LLM architectures, retrieval methods, and prompt engineering, and integrate emerging techniques ...

BC Forward

Linguist II (LLM/AI)

Sunnyvale, CA · On-site

$36 - $40.20/hr

Collaborate with linguists, data operations teams, and ML engineers on data collection, curation ... Support programmatic methods to generate synthetic annotated data at scale. Assist in model ...

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Assistant Llm Developer information

What is the difference between Assistant Llm Developer vs Machine Learning Engineer?

AspectAssistant Llm DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; familiarity with NLP and LLMsBachelor's or higher in CS, Data Science, or related; strong ML background
Work EnvironmentTech companies, AI startups, research labsTech firms, AI companies, research institutions
Employer & Industry UsageFocus on developing and fine-tuning language modelsDesigning, building, deploying ML models across domains

Assistant Llm Developers typically focus on developing and fine-tuning language models, often working closely with NLP teams. Machine Learning Engineers have a broader scope, designing and deploying various ML models across industries. Both roles require strong technical skills, but Assistant Llm Developers specialize more in language-specific AI applications.

What are the most commonly searched types of Llm Developer jobs in California? The most popular types of Llm Developer jobs in California are:
What are popular job titles related to Assistant Llm Developer jobs in California? For Assistant Llm Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Assistant Llm Developer jobs in California look for? The top searched job categories for Assistant Llm Developer jobs in California are:
Assistant Llm Developer jobs near you

AI/LLM Integration Engineer

Ironflow AI

San Diego, CA

$110K - $148K/yr

Full-time

Posted 14 days ago

Job description

About Ironflow AI

We are building the world’s first AI-native ERP for defense tech — a system that thinks, reasons, and acts alongside the people who build, protect, and defend our way of life.

We’re not patching old ideas with a flashy new user interface. We’re starting fresh — reimagining how software supports operations at the cutting edge of the defense tech revolution. Built by veterans, engineers, and operators who’ve lived the pain of legacy systems. Ironflow combines natural language, intelligent agents, and real-world rigor to empower the frontline with clarity and speed.

If you're bold, decisive, and obsessed with impact — join us. This is where curiosity meets purpose.

Why This Role Matters
The AI layer is the beating heart of Ironflow. As our AI/LLM engineer, you won’t just write prompts — you’ll define how the system thinks. You’ll architect the orchestration layer that enables streaming chat, multi-agent coordination, and backend execution across ERP workflows. Your work will determine how our software reasons, adapts, and collaborates with users — at scale, and in real time.
What You’ll Own
  • Build the LLM orchestration layer using multi-agent frameworks
  • Design agentic workflows that track state, propose actions, and complete multi-step tasks
  • Create structured prompting systems with function-calling, memory, and safety constraints
  • Prototype agent behavior: retries, fallback logic, chained reasoning, reactive flows
  • Collaborate with frontend and backend teams to power natural language-driven UIs
  • Evaluate and integrate emerging frameworks for performance, safety, and extensibility
What You Bring
  • 5+ years of experience in Python and backend development
  • Hands-on experience with LLM APIs (e.g., OpenAI, Anthropic) and orchestration frameworks
  • Proven ability to design systems that combine tool use, memory, and autonomous reasoning
  • Bonus: Familiarity with FastAPI, GraphQL, or backend ERP workflows
  • Bias for action and a track record of shipping prototypes that evolve into production
  • Entrepreneurial spirit — you thrive in ambiguity, build from scratch, and think in systems
How We Work
We value autonomy, urgency, and ownership. Everyone at Ironflow moves fast, solves real problems, and holds a high bar for craft. We expect you to lead — not just follow — and to build systems that stand up to real-world complexity while staying clean and maintainable.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.