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

Manager, Software Engineering

New
Top rated
HackerOne
Full-time
Full-time
Posted

£115,000 – £130,000
Undisclosed
YEAR

(GBP)

London, United Kingdom
Maybe global
Remote
Python
MLOps
Model Evaluation
RAG
LLMs

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

AI Deployment Strategist

New
Top rated
Relevance AI
Full-time
Full-time
Posted

The AI Deployment Strategist works with customers to turn high-value AI use cases into measurable outcomes by co-creating adoption roadmaps and overseeing end-to-end deployment. Additional responsibilities include driving change management, defining success metrics, training users, and ensuring integration and adoption in collaboration with cross-functional teams.

Undisclosed

()

Maybe global
Hybrid
LLMs
APIs
Data analytics

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

Engagement Manager

New
Top rated
You.com
Full-time
Full-time
Posted

Design, build, and deploy AI applications mainly in Python, validating models and packaging solutions for various environments. Collaborate with customers to guide AI pilot projects, monitor system reliability, and contribute feedback to the core product team to improve the AI platform.

Undisclosed
YEAR

(USD)

Maybe global
Remote Solely
Python
Kubernetes
AWS
Terraform
Pulumi

Solution Architect

New
Top rated
You.com
Full-time
Full-time
Posted

Design and develop AI applications using Python while validating models and deploying them on platforms like Kubernetes and AWS, or adapting for customer on-premises clusters. Lead customer discovery sessions, guide pilot projects, and ensure successful deployments with continuous system performance monitoring and internal tool building.

Undisclosed
YEAR

(USD)

Maybe global
Remote OK
Python
LLMs
Kubernetes
AWS
Terraform

Customer Success Architect

New
Top rated
You.com
Full-time
Full-time
Posted

Design, develop, and deploy AI applications in Python for enterprise solutions, running model evaluations and packaging for Kubernetes, AWS, or customer clusters. Lead customer engagements, monitor performance, and improve core platform systems while sharing product feedback internally.

Undisclosed
YEAR

(USD)

Maybe global
Remote OK
Python
Kubernetes
AWS
LLMs
Terraform

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

AI Pilot Task Delivery (Vibe Coding)

New
Top rated
Mindrift
Part-time
Full-time
Posted

As a Vibe Code specialist at Mindrift, you will handle research, data extraction, and analysis tasks using technical tools, LLMs, and automation. You will be responsible for conducting web research, data mining, scripting in Python, web scraping, data processing, and ensuring high-quality, structured outputs.

Undisclosed
HOUR

(USD)

Maybe global
Remote Solely
Python
pandas
Selenium
LLMs

Want to see more AI Egnineer jobs?

View all jobs

Access all 4,256 remote & onsite AI jobs.

Join our private AI community to unlock full job access, and connect with founders, hiring managers, and top AI professionals.
(Yes, it’s still free—your best contributions are the price of admission.)

Frequently Asked Questions

Need help with something? Here are our most frequently asked questions.

Question text goes here

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.

[{"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."}]