LLMs AI Jobs

Discover the latest remote and onsite LLMs AI roles across top active AI companies. Updated hourly.

Check out 81 new LLMs AI roles opportunities posted on The Homebase

Forward Deployed Engineer

New
Top rated
Notable
Full-time
Full-time
Posted

As a Forward Deployed Engineer, you will partner directly with customers to understand their biggest challenges and rapidly design, implement, and integrate technical solutions that drive real impact. You will leverage engineering expertise to design scalable AI workflows for clinical and operational use cases, producing professional-grade systems and data-flow diagrams defining interfaces, failure modes, and integration points with EHRs and legacy systems. You will build and deploy Large Language Model (LLM) powered workflows, applying advanced prompting strategies, building agentic workflows, and tuning vector stores for quality, latency, and cost. You will perform technical validation of AI algorithm outputs and ensure strict adherence to HIPAA/SOC 2 controls, establishing guardrails such as audit trails and least-privilege access for safe clinical deployment. You will independently manage technical implementation plans, defining scope and setting expectations with customers, driving prototypes into production and facilitating the transition to steady-state ownership alongside Customer Success teams. You will serve as the technical voice in customer meetings, translating complex platform capabilities into clear value propositions for executives and non-technical stakeholders. Additionally, you will provide input to internal cross-functional teams on platform gaps to help widen competitive advantage.

$160,000 – $185,000
Undisclosed
YEAR

(USD)

San Mateo, United States
Maybe global
Hybrid
TypeScript
Node.js
APIs
AWS
GCP

AI Implementation Strategist

New
Top rated
Haast
Full-time
Full-time
Posted

Lead customer AI implementation projects, owning the customer journey from onboarding to rollout. Act as a trusted advisor for legal, compliance, and marketing teams, troubleshooting blockers and providing feedback to shape the roadmap.

Undisclosed

()

Maybe global
Hybrid
LLMs
ChatGPT
Claude

Forward Deployed Engineer - Singapore

New
Top rated
OpenAI
Full-time
Full-time
Posted

Forward Deployed Engineers own technical delivery across deployments, moving from prototypes to stable production and building full-stack solutions that deliver customer value. They embed with customer teams, structure delivery, and create reusable implementation patterns to influence product and research roadmaps.

Undisclosed

()

Maybe global
Hybrid
Python
LLMs
Generative models

Strategy & Operations Manager, Support

New
Top rated
OpenAI
Full-time
Full-time
Posted

This leader will build, scale, and manage OpenAI's User Operations Strategy & Operations function, owning service strategy, planning, forecasting, and execution. They are responsible for embedding AI-native operations, forecasting support needs, evolving support models, driving operational quality, and acting as a senior escalation point across the team.

Undisclosed
YEAR

(USD)

Maybe global
On-site
LLMs
Automation
Forecasting
Data Analysis

Software Engineer, Platform

New
Top rated
Glean Work
Full-time
Posted

The AI Outcomes Manager will collaborate with executives and end-users to develop and execute AI transformation strategies using Glean's platform. They will conduct discovery workshops, drive customer engagement, and work closely with Product and R&D to shape product direction based on user feedback.

Undisclosed

()

Maybe global
Remote Solely
AI
LLMs
Prompt Engineering
Product Management
Enterprise SaaS

Partner Development Manager - Canada

New
Top rated
Cohere
Full-time
Full-time
Posted

The Partner Development Manager will define and execute Cohere’s partner go-to-market strategy in the Canadian enterprise market, targeting system integrators, resellers, ISVs, and cloud partners. They will lead partner onboarding, enablement, and co-selling activities, while acting as a thought leader and advocate for Cohere’s AI solutions.

Undisclosed

()

Maybe global
Remote OK
AI
Cloud
LLMs

Product Marketing Manager

New
Top rated
Cohere
Full-time
Full-time
Posted

The Product Marketing Manager will develop and execute marketing strategies for AI products, focusing on driving product adoption and business growth. Responsibilities include leading product positioning, managing go-to-market initiatives, optimizing marketing campaigns, and collaborating with cross-functional teams to support successful product launches.

Undisclosed

()

Maybe global
Remote OK
LLMs
RAG

Solutions Marketing Manager

New
Top rated
Cohere
Full-time
Full-time
Posted

The Solutions Marketing Manager develops and executes marketing strategies for AI products to drive adoption and business growth, overseeing product positioning and competitive differentiation. They collaborate across teams, manage product launches, optimize strategies, and ensure effective sales enablement and stakeholder communication.

Undisclosed

()

Maybe global
Remote OK
LLMs
RAG
Enterprise software
SaaS

AI Agent Evaluation Analyst (Freelance)

New
Top rated
Mindrift
Part-time
Full-time
Posted

You will review and evaluate complex AI agent tasks and scenarios for logic, completeness, and realism, identifying inconsistencies and defining expected behaviors. Collaboration with QA, writers, and developers is essential to suggest task refinements and cover edge cases, ensuring comprehensive agent testing.

Undisclosed
HOUR

(USD)

Maybe global
Remote Solely
JSON
YAML
LLMs
Prompt Engineering
QA

AI Agent Evaluation Analyst (Freelance)

New
Top rated
Mindrift
Part-time
Full-time
Posted

You will review evaluation tasks and scenarios for logic, completeness, and realism, identify inconsistencies or missing assumptions, and help define gold standards for autonomous AI agents. Collaborate with QA, writers, and developers to refine AI agent testing and ensure comprehensive evaluation frameworks.

Undisclosed
HOUR

(USD)

Maybe global
Remote Solely
JSON
YAML
LLMs
QA

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[{"question":"What are LLMs AI jobs?","answer":"LLMs AI jobs involve working with large language models in various capacities. These roles include model development and optimization, application integration using techniques like retrieval-augmented generation (RAG), building agentic systems, data generation for fine-tuning, and code generation. Professionals in these positions typically create, deploy, and enhance AI systems that leverage advanced natural language processing capabilities."},{"question":"What roles commonly require LLMs skills?","answer":"Roles that commonly require large language model expertise include AI Researchers who work on model training and innovation, AI Software Engineers who build end-to-end solutions, Natural Language Processing Engineers who design and implement models, Applied AI Engineers who create generative AI solutions, Research Software Engineers focusing on computational efficiency, and LLM Trainers who generate high-quality data for fine-tuning."},{"question":"What skills are typically required alongside LLMs?","answer":"Skills typically paired with large language model expertise include programming (especially Python), prompt engineering, retrieval-augmented generation (RAG) techniques, API integration capabilities, data formatting knowledge (particularly JSON), and fine-tuning methodologies. Strong understanding of natural language processing principles, excellent communication skills, and domain-specific knowledge for particular industries are also valuable complementary skills."},{"question":"What experience level do LLMs AI jobs usually require?","answer":"Senior roles typically require 5+ years building production-grade machine learning systems with measurable impact. Entry-level positions exist for new graduates with strong programming foundations and NLP understanding. Most positions expect demonstrated experience with language models, API integration, or related technologies. Technical assessments often require minimum passing scores of 70-80% to qualify for these positions."},{"question":"What is the salary range for LLMs AI jobs?","answer":"The research provided doesn't include specific salary information for large language model jobs. Compensation typically varies based on role type (researcher, engineer, trainer), experience level, company size, location, and specific technical expertise. As a specialized AI skill, these positions generally command competitive salaries within the broader tech industry."},{"question":"Are LLMs AI jobs in demand?","answer":"Yes, large language model jobs are in high demand across multiple industries. Major technology companies like Google, Apple, and Moody's are actively recruiting for these positions. New job titles like prompt engineers and API integration experts have emerged specifically for this technology. The broad adoption of these models has created hiring needs at all experience levels, from new graduates to senior researchers."},{"question":"What is the difference between LLMs and Traditional Machine Learning in AI roles?","answer":"Large language models focus on generative AI and deep learning, working with text, code, and multimodal content to create new outputs. Traditional machine learning typically involves supervised/unsupervised algorithms like XGBoost that classify, predict, or cluster existing data. LLM roles emphasize prompt engineering, fine-tuning, and retrieval techniques, while traditional ML positions focus more on feature engineering, algorithm selection, and statistical analysis."}]