Skill
LLM Fine-Tuning
Data Science, Analytics and AI/ML
LLM fine-tuning is the process of further training a pre-trained large language model on a smaller, task-specific dataset to improve its performance on particular domains or behaviors. Machine learning engineers use fine-tuning to customize models for specialized applications, such as legal document analysis or customer support, without training a model from scratch.
LLM Fine-Tuning in the job market
Last checked October 28, 2026
- Open roles
- 7
- Employers
- 7
- Median pay
- —
- Disclose pay
- —
on Career App
hiring for it
not enough disclosed
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Open roles requiring LLM Fine-Tuning (7)
ML & Agentic Systems Engineer [IC4]
Sourcegraph
Remote · $88,000
This role leads machine learning and agentic systems work for a code intelligence platform, owning how AI models and multi-step agent loops power the company's developer tools. You'll set technical direction for model selection, evaluation practices, and cost-efficient agentic architectures while mentoring a senior team and shipping measurable improvements to production systems.
Listed on Sourcegraph’s careers site · Apply there ↗
Applied Agentic AI Lead, Partner Co-Design
NVIDIA
Full-time · $224,000 – $431,250
NVIDIA is looking for a seasoned technical leader to partner with enterprise software companies on building production-grade agentic AI systems, serving as the trusted senior technical voice on major accounts and shaping both partner adoption and NVIDIA's product roadmap. The role suits engineers with deep ML expertise, enterprise software experience, and the ability to translate complex technical challenges into shipped systems while bridging partner needs with internal product strategy.
Listed on NVIDIA’s careers site · Apply there ↗
Senior AI Engineer
Mastercard
Full-time · O Fallon, MO · $115,000 – $184,000
This role leads the design and deployment of large language model systems, agents, and retrieval-augmented generation pipelines at enterprise scale. It suits experienced ML engineers who have built production generative AI applications and want to architect next-generation AI systems within a global fintech organization.
Listed on Mastercard’s careers site · Apply there ↗
Principal Product Manager, AI Platform
Angi
Full-time · Remote - United States · $190,000 – $280,000
This role leads product strategy for an internal AI platform that serves as the central gateway for all model and agent workloads across the company, managing cost attribution, quality evaluation, and governance. It suits experienced technical product managers who understand infrastructure-as-a-product and want to shape how a large organization scales generative AI from experimental to production systems.
Listed on Angi’s careers site · Apply there ↗
Senior AI Engineer
Talkspace
Full-time · Remote · $169,000 – $200,000
Talkspace seeks a technical leader to architect and deploy multi-agent AI systems for their behavioral health platform, combining large language models, reinforcement learning, and simulation to create autonomous agents that deliver therapeutic interventions safely and at scale. This role suits experienced ML engineers who want to apply advanced AI theory to production systems with real human impact in mental healthcare.
Listed on Talkspace’s careers site · Apply there ↗
Senior Machine Learning Engineer
Remote - United States · $216,700 – $303,400
Reddit is hiring a Machine Learning Engineer to design and deploy production systems powering recommendations, search, ads, and AI features across their platform. This role suits engineers with 3+ years building ML systems at scale who want to work on high-impact problems affecting millions of users.
Listed on Reddit’s careers site · Apply there ↗
Solutions Architect
Together AI
Full-time · San Francisco, CA · $250,000 – $300,000
This role involves working closely with enterprise customers to design and demonstrate AI solutions using Together AI's platform, combining technical depth in machine learning infrastructure with consultative sales skills. It suits experienced engineers who enjoy customer engagement, can translate complex AI/ML concepts for business stakeholders, and want to influence product direction through customer feedback.
Listed on Together AI’s careers site · Apply there ↗
Asked for alongside LLM Fine-Tuning
Measured from the 7 open roles that name LLM Fine-Tuning — not from a curated list.
- Python6 roles85.7%
- Docker4 roles57.1%
- Kubernetes4 roles57.1%
Roles that use LLM Fine-Tuning
Employers hiring for LLM Fine-Tuning
7 in total, most open roles first.
- AAngi1 role
- MMastercard1 role
- NVIDIA1 role
- RReddit1 role
- SSourcegraph1 role
- TTalkspace1 role
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.