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Professional Llm Developer Jobs in California (NOW HIRING)

Clera

Founding Engineer (AI/ML)

San Francisco, CA · On-site

$130K - $170K/yr

What We're Looking For * 3+ years of professional software engineering experience shipping end-to-end product features in production environments. * Proven experience building LLM-powered features ...

Clera

Founding Engineer (AI/ML)

San Francisco, CA · On-site

$130K - $170K/yr

What We're Looking For * 3+ years of professional software engineering experience shipping end-to-end product features in production environments. * Proven experience building LLM-powered features ...

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Professional Llm Developer information

What is a professional LLM developer?

Professional LLM Developers are software engineers or specialists who design, build, and optimize applications and systems that leverage large language models (LLMs) like GPT-4, Claude, or similar AI models. Their work often involves integrating LLMs into products, fine-tuning models for specific tasks, ensuring safe and ethical AI use, and improving performance. They may also create tools and frameworks that facilitate the deployment and scaling of LLM-powered applications. Their expertise combines software development, machine learning, and natural language processing.

What are the key skills and qualifications needed to thrive as a professional LLM developer?

To thrive as a Professional LLM Developer, you need expertise in machine learning, natural language processing, and strong programming skills in languages like Python, often supported by a degree in computer science or related fields. Familiarity with deep learning frameworks (such as PyTorch or TensorFlow), experience with large language model architectures, and knowledge of cloud platforms are typically required, along with certifications like TensorFlow Developer or AWS Certified Machine Learning. Strong problem-solving abilities, teamwork, and effective communication distinguish top performers in this role. These skills ensure the development, fine-tuning, and deployment of robust LLM solutions that meet business and technical needs.

What are some common challenges faced by professional LLM developers when deploying large language models in production environments?

Professional LLM Developers often encounter challenges such as optimizing model performance to balance accuracy with computational efficiency, managing latency for real-time applications, and ensuring data privacy and security. Additionally, integrating LLMs with existing systems and maintaining model versioning can be complex. Collaboration with cross-functional teams, such as data engineers and product managers, is essential to address these challenges and ensure the successful deployment and ongoing maintenance of LLM-driven solutions.

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

AspectProfessional Llm DeveloperMachine Learning Engineer
CredentialsTypically requires advanced degrees in AI, NLP, or related fields; certifications in AI/MLOften holds degrees in computer science, data science, or engineering; certifications in ML frameworks
Work EnvironmentFocuses on developing and fine-tuning large language models, often in research or specialized AI teamsDesigns, builds, and deploys ML models across various applications, in industry or tech companies
Industry UsagePrimarily in AI research, NLP, and companies developing LLM-based productsUsed across tech, finance, healthcare, and other sectors for predictive modeling and automation

While both roles involve AI and machine learning, a Professional Llm Developer specializes in large language models and NLP, whereas a Machine Learning Engineer works on a broader range of ML applications and models across industries.

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 Professional Llm Developer jobs in California?

For Professional Llm Developer jobs in California, the most frequently searched job titles are:

What job categories do people searching Professional Llm Developer jobs in California look for?

The top searched job categories for Professional Llm Developer jobs in California are:

What cities in California are hiring for Professional Llm Developer jobs?

Cities in California with the most Professional Llm Developer job openings:

Professional Llm Developer jobs near you

Senior Consultant -Agent Developer (LLM & Agentic Workflows) - Business Consulting

Infosys Limited

Los Angeles, CA • On-site

$116.88 - $148.12/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Infosys rating

7.0

Company rating: 7.0 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

152nd of 224 rated it services

Job description

Senior Consultant - Agent Developer (LLM & Agentic Workflows) - Infosys Consulting

Infosys Consulting's Tech Transformation Advisory Practice is seeking a Senior Consultant specializing in Agent Developer (LLM & Agentic Workflows).

Position Overview

As a Senior Consultant you will design and implement AI agents and agentic workflows that integrate seamlessly with enterprise applications through Enterprise AI Gateway, Local Execution Gateways, and MCP-based interoperability. Ensure compliance with Responsible AI principles and enterprise governance standards.

Responsibilities
  • Agent Development: Build task‑oriented and conversational agents using LLMs (OpenAI GPT, Claude, Llama) and frameworks; implement retrieval‑augmented generation (RAG) and tool‑use for enterprise workflows.
  • LLM Framework Awareness: Core LLMs: OpenAI GPT, Claude, Llama, Azure OpenAI.
  • Agentic Frameworks: LangChain (chains, tools, memory); CrewAI (multi‑agent orchestration); Haystack (RAG pipelines); AutoGen (agent collaboration); LlamaIndex (document indexing & retrieval); DSPy (structured agent programming).
  • Enterprise Platforms: AWS Bedrock, Microsoft Foundry, MoveWorks.
  • Knowledge of deterministic vs probabilistic routing and multi‑agent orchestration.
  • Integration & Interoperability: Expose agents via MCP servers for interoperability across gateways; register agents in Persistent Registry with metadata for discovery and versioning.
  • Governance & Compliance: Apply OPA‑based policies for security, data residency, and rate limiting; implement Responsible AI controls (bias detection, explainability, provenance tagging).
  • Observability & Performance: Instrument agents with OpenTelemetry for tracing, metrics, and cost telemetry; optimize prompts, caching, and fallback strategies to meet SLOs.
  • Collaboration: Work closely with AI Platform Engineers for gateway integration and Policy Leads for compliance alignment.
Client and Stakeholder Engagement
  • Build and maintain strong relationships with clients, understanding their needs and providing tailored IT solutions.
  • Present project updates, findings, and recommendations to client executives and stakeholders clearly.
  • Act as a person running the project activities, work with stakeholders through IT transformation processes.
Team Collaboration and Development
  • Collaborate with project teams, ensuring clear communication, effective collaboration, and timely delivery of milestones.
  • Mentor junior team members, fostering a culture of continuous learning and professional growth.
Basic Qualifications
  • Bachelor's degree or equivalent experience.
  • Minimum of 5+ years in backend or AI application development.
  • Proven experience integrating AI agents into enterprise systems.
  • Strong strategic thinking and problem‑solving abilities.
  • Effective communication and presentation skills.
  • Proven ability to collaborate with and support project teams.
  • Ability to travel up to 75%.
  • Authorized to work for any employer in the United States without employer‑based visa sponsorship; Infosys cannot provide immigration sponsorship for this role.
Preferred Qualifications
  • Strong problem‑solving skills and ability to work independently.
  • Good program/project management skills, including interviewing clients, process mapping, project planning, and stakeholder communication.
  • Good presentation skills and experience supporting successful project proposals.
Benefits
  • Medical/Dental/Vision/Life Insurance
  • Long-term/Short-term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
  • 401(k) plan with contributions dependent on salary level
  • Paid holidays and Paid Time Off

Along with competitive pay, as a full‑time Infosys employee you are also eligible for the following benefits.

Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

State / Region / Province: California, Georgia, Texas, Washington

Country: USA

Salary min: 116875

Salary max: 148125

Requisition ID: 147415BR

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