Junior Applied AI Engineer, Use-case - Palo Alto

Jobright.ai; Palo Alto (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Parking stipend

Betterup coaching

Gym reimbursement

Meal stipend

Job summary

Mistral is seeking an Applied AI Engineer for onsite work in Palo Alto/ NYC to help customers adopt our AI solutions and integrate them into back-end and front-end systems.

You will guide prompting and fine-tuning of GenAI models, collaborate with researchers and engineers, and contribute to open-source components, with a focus on real-world use cases across industries.

Qualifications

• PhD or Master in AI / data science
• 2+ years as a technical individual contributor on AI-based products
• Experience with fine tuning LLMs and advanced RAG/agentic use cases
• Experience building and deploying LLMs or NLP applications
• Strong ability to explain complex concepts to diverse audiences

Responsibilities

• Onboard customers on products and APIs, guiding prompting, evaluation, and fine-tuning.
• Drive production integration with backend and frontend interfaces.
• Work on GenAI applications across consumer to industrial use cases with customers.
• Assist deployment into production use cases with significant business impact.
• Collaborate with researchers and product engineers on complex projects and contribute to open-source inference and fine-tuning.

Skills

Fine Tuning LLMs

Machine Learning Algorithms

Python

Deep Learning with PyTorch

NLP Applications

AI Product Implementation

Open Source Contribution

Technical Guidance

Stakeholder Engagement

Communication Skills

Collaboration

Langchain

Vector DBs

Education

PhD / Master in AI / Data Science

Tools

Langchain

Vector DBs

APIs

Job description

Applied AI Engineer, Use-case - Palo Alto/NYC

Full-time

Onsite

2+ years exp

Mistral AI is a pioneering company focused on democratizing AI through high-performance, optimized, open-source models and solutions. They are seeking an Applied AI Engineer to facilitate product adoption and collaborate with customers on technical challenges from pre-sale to post-implementation stages.

Artificial Intelligence (AI) Software Agentic AI Foundational AI Generative AI Machine Learning Natural Language Processing Open Source Virtual Assistant

H1B Sponsored

Responsibilities

You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces

You’ll work on state-of-the‑art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation

You’ll individually help deploy into production use cases with a considerable business impact across various industries

You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine‑tuning, state-of-the‑art LLM applications, and contributing to our open source codebases for tasks such as inference and fine‑tuning

You’ll be involved in pre‑sales calls to understand potential clients’ needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders

Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback

Qualification

Fine Tuning LLMs Machine Learning Algorithms Python Deep Learning with Pytorch NLP Applications AI Product Implementation Customer Relations Open Source Contribution Technical Guidance Stakeholder Engagement Communication Skills Collaboration

Required

You are fluent in English

You hold a PhD / master in AI / data science

You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products

You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases

You have deep understanding of concepts and algorithms underlying machine learning and LLMs

You're experienced with building and deploying LLMs or NLP applications

You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces

You have strong technical coding skills in Python

You have experience with deep learning with Pytorch

You have experience with agents framework such as Langchain, vector DBs

You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences

Preferred

Contributed to open-source projects in particular in the space of LLMs

Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager

Competitive salary and bonus structure

Health : Competitive Healthcare program (Medical Provider: Blueshield of California 100% coverage for employee, 75% for dependents)

Transportation: Reimburse office parking charges, or $120/month for public transport

Coaching: we offer Betterup coaching on a voluntary basis

Sport: $120/month reimbursement for gym membership

Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger)

Company

Mistral

Enterprise AI platform for building custom assistants and agents.

Mistral has a track record of offering H1B sponsorships. Please note that this does notguarantee sponsorship for this specific role. Below presents additional info for yourreference. ( Data Powered by US Department of Labor)

Current Stage

Current Stage Late Stage

Total Funding

Total Funding $4.01B

Key Investors

ASML DST Global,General Catalyst Microsoft

Fine Tuning LLMs Machine Learning Algorithms Python Deep Learning with Pytorch NLP Applications