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Mistral Jobs in Delaware (NOW HIRING)

Applied AI/ML - Vice President

Wilmington, DE · On-site

$120 - $160/hr

  • Medical

  • Retirement

Expert in Large Language models (OpenAI, Anthropic, Mistral, etc) including fine‑tuning models, prompt engineering, embeddings and context window. * Strong collaboration skills to work effectively ...

Mistral information

See Delaware salary details

$15K

$241.5K

$387.3K

How much do mistral jobs pay per year?

As of Aug 14, 2026, the average yearly pay for mistral in Delaware is $241,503.00, according to ZipRecruiter salary data. Most workers in this role earn between $200,200.00 and $300,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Mistral engineer?

To thrive as a Mistral Engineer, you need a solid background in software engineering, machine learning, and natural language processing, often supported by a degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, experience with distributed systems, and version control tools such as Git are typically required. Strong problem-solving skills, collaboration, and adaptability help individuals excel in this dynamic, innovative environment. These competencies are crucial for driving advancements in AI technology and delivering robust, scalable solutions.

What is a Mistral?

Mistral jobs refer to roles related to Mistral, which can indicate either a workflow orchestration service in IT or positions at Mistral AI, a company specializing in artificial intelligence and large language models. In the context of workflow orchestration, Mistral jobs involve creating, managing, and monitoring automated workflows, often in cloud or DevOps environments. At Mistral AI, jobs can include research, software engineering, and AI model development. Responsibilities usually focus on building scalable, efficient systems or advancing state-of-the-art machine learning technologies.

What is the difference between Mistral vs Data Scientist?

AspectMistralData Scientist
Required CredentialsTypically requires a background in engineering, physics, or related fields; certifications are optionalRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentOften works in research labs, tech companies, or startups focusing on AI and machine learningWorks in various industries including finance, healthcare, and tech, analyzing data to inform decisions
Employer & Industry UsageUsed mainly in AI research and development, especially in natural language processingWidely used across industries for data analysis, predictive modeling, and business insights

While both Mistral and Data Scientists work with advanced technology, Mistral typically focuses on AI research and development, often requiring a strong engineering background. Data Scientists analyze data to generate insights across industries. The roles overlap in technical skills but differ in focus and application.

What are some typical challenges faced by Mistral engineers when integrating AI models into production environments?

Mistral engineers often encounter challenges such as ensuring model scalability, managing latency, and maintaining robust security when deploying AI models into production. They must frequently collaborate with data scientists, DevOps, and product teams to fine-tune models, monitor real-world performance, and address unexpected behavior. Staying updated with rapid advancements in machine learning frameworks and cloud infrastructure is also crucial. Effective communication and agile problem-solving are key to overcoming these hurdles and delivering reliable AI solutions.

What are popular job titles related to Mistral jobs in Delaware?

For Mistral jobs in Delaware, the most frequently searched job titles are:

What cities in Delaware are hiring for Mistral jobs?

Cities in Delaware with the most Mistral job openings:

Infographic showing various Mistral job openings in Delaware as of August 2026, with employment types broken down into 84% Full Time, 6% Part Time, and 10% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $241,503 per year, or $116.1 per hour.

Senior Python AI Developer(RAG/LLM)

Geethanjali College of Engineering and Technology

Wilmington, DE • On-site

$117K - $158K/yr

Full-time

Posted 5 days ago


Job description

The client is seeking a highly experienced Senior Python AI Developer with expertise in building enterprise-grade Generative AI applications. The ideal candidate will have extensive experience designing and implementing Retrieval-Augmented Generation (RAG) solutions, integrating Large Language Models (LLMs), and developing scalable AI platforms for financial services.
Required Skills
  • 10+ years of software development experience
  • Strong expertise in Python development
  • Hands-on experience building Retrieval-Augmented Generation (RAG) applications
  • Experience integrating LLMs such as GPT, Claude, Llama, Gemini, or Mistral
  • Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks
  • Strong knowledge of vector databases including Pinecone, FAISS, Weaviate, ChromaDB, or Milvus
  • Experience with embedding models and semantic search
  • Experience developing REST APIs using FastAPI or Flask
  • Experience with prompt engineering and AI workflow optimization
  • Strong SQL and NoSQL database experience
  • Experience with Docker and Kubernetes
  • Cloud experience with AWS, Azure, or Google Cloud Platform
  • Experience with Git, CI/CD, and DevOps practices
  • Understanding of AI security, governance, and responsible AI practices
  • Experience working in Agile/Scrum environments
Preferred Skills
  • Financial or banking domain experience
  • Experience with OCR and document intelligence
  • Knowledge of AI agents and multi-agent frameworks
  • Experience deploying enterprise AI solutions
  • Experience with model evaluation and observability
Responsibilities
  • Design and build enterprise RAG solutions
  • Develop scalable AI services using Python
  • Build semantic search and document retrieval pipelines
  • Integrate vector databases and LLMs
  • Optimize prompt engineering and retrieval strategies
  • Collaborate with data scientists, architects, and business stakehold