Mistral

2 weeks ago

Applied AI, Technical Lead, Forward Deployed AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Reposted: first listed 1 week ago

Job Summary

Lead the technical strategy, execution, and delivery of complex applied AI solutions for enterprise customers. You’ll be hands-on as an IC while mentoring and guiding teams of Applied AI Engineers, delivering production-ready GenAI systems across fine-tuning, RAG, and agentic workflows. Serve as a primary technical contact from pre-sales through post-implementation, partnering with research, product, and engineering to integrate customer feedback and drive scalable, robust deployments.

Location: Paris

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Deliver as an IC critical code for complex projects, staying deeply involved in coding, reviews, and optimization of AI solutions.
•Lead technical teams of Applied AI Engineers with mentorship, technical guidance, and best practices for deploying GenAI applications.
•Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating technical advantages.
•Design and oversee implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications.
•Drive innovation by evaluating emerging AI trends, tools, and methodologies for fine-tuning, inference, and deployment.

Pay and Benefits

Perks:Health InsuranceParental LeavePensionRelocationMeal Allowance

Key Requirements

•PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
•7/8+ years of experience in AI/ML, including 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.
•Proven track record leading teams to deliver complex AI projects from prototyping to production across industries such as tech, finance, healthcare, or industrial automation.
•Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
•Proficiency in Python and PyTorch, plus modern AI frameworks (e.g., LangChain, Hugging Face) and experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (plus).

Experience:7+ yearsAI/MLGenAIEnterprise solutions

Education:Master's in AI, Machine Learning, Computer Science, or related field

Skills:Technical communicationMentorshipLeadershipCollaboration

Languages:English

Tech Stack:PythonPyTorchLangChainHugging FaceAWSGCPAzureRAGLLMsAgentic workflowsNLPMLOps

Company Brief

Mistral

Develops state-of-the-art large language models and AI systems, offering models and developer tools for natural language understanding, generation, and enterprise AI integrations. Focuses on open research and production-ready model deployments.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Paris, France

Founded: 2023

Website LinkedIn

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Mistral

2 weeks ago

Applied AI, Technical Lead, Forward Deployed AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Reposted: first listed 1 week ago

Job Summary

Location: Paris

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Deliver as an IC critical code for complex projects, staying deeply involved in coding, reviews, and optimization of AI solutions.
•Lead technical teams of Applied AI Engineers with mentorship, technical guidance, and best practices for deploying GenAI applications.
•Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating technical advantages.
•Design and oversee implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications.
•Drive innovation by evaluating emerging AI trends, tools, and methodologies for fine-tuning, inference, and deployment.

Pay and Benefits

Perks:Health InsuranceParental LeavePensionRelocationMeal Allowance

Key Requirements

•PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field.
•7/8+ years of experience in AI/ML, including 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions.
•Proven track record leading teams to deliver complex AI projects from prototyping to production across industries such as tech, finance, healthcare, or industrial automation.
•Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
•Proficiency in Python and PyTorch, plus modern AI frameworks (e.g., LangChain, Hugging Face) and experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (plus).

Experience:7+ yearsAI/MLGenAIEnterprise solutions

Education:Master's in AI, Machine Learning, Computer Science, or related field

Skills:Technical communicationMentorshipLeadershipCollaboration

Languages:English

Tech Stack:PythonPyTorchLangChainHugging FaceAWSGCPAzureRAGLLMsAgentic workflowsNLPMLOps

Company Brief

Mistral

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Paris, France

Founded: 2023

Website LinkedIn