[Remote] AI Engineer – Mistral AI Studio
Note: The job is a remote job and is open to candidates in USA. Connect Tech+Talent is seeking an AI Engineer for their Mistral AI Studio. The role involves building, integrating, and deploying Generative AI solutions, with a focus on designing enterprise-grade AI applications that utilize Mistral models for various automation tasks.
Responsibilities
- Design, develop, and deploy AI solutions using Mistral AI Studio, Mistral APIs, and related LLM capabilities
- Build AI agents using Mistral’s Agents and Conversations API, including tool usage, function calling, handoffs, and multi-step workflows
- Develop Retrieval-Augmented Generation solutions using enterprise documents, knowledge bases, vector databases, and document search
- Create reusable prompts, prompt templates, system instructions, and evaluation datasets for enterprise use cases
- Integrate Mistral AI models with business applications, APIs, databases, CRM, ERP, ticketing tools, document repositories, and workflow systems
- Build AI-powered solutions for document processing, summarization, classification, Q&A, content generation, and decision support
- Implement guardrails, moderation, privacy controls, access controls, and responsible AI practices
- Evaluate model responses for accuracy, hallucination, relevance, safety, and business usefulness
- Support model selection, prompt tuning, performance optimization, token/cost optimization, and latency improvement
- Work with cloud platforms such as Azure, AWS, or GCP for deployment and integration
- Collaborate with business stakeholders, data teams, architects, and application engineering teams to convert business requirements into AI solutions
- Prepare technical documentation, architecture diagrams, deployment guides, and knowledge-transfer materials
Skills
- Hands-on experience with Mistral AI Studio, Mistral API, or similar LLM platforms
- Strong understanding of Generative AI, LLMs, prompt engineering, AI agents, RAG, and embeddings
- Experience with Python and API-based application development
- Experience building AI applications using frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar
- Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Azure AI Search, OpenSearch, or similar
- Strong understanding of REST APIs, JSON, authentication, and backend integration
- Experience with document ingestion, chunking, embedding, retrieval, reranking, and response generation
- Ability to evaluate LLM outputs and create test/evaluation frameworks
- Good understanding of cloud deployment, CI/CD, monitoring, logging, and application security
- Strong analytical, problem-solving, and communication skills
- Bachelor's or master's degree in computer science, Data Science, Artificial Intelligence, Engineering, or related field
- 4+ years of software engineering, data engineering, or AI/ML engineering experience
- 1+ year of hands-on Generative AI / LLM application development experience
- Experience with Mistral agents, function calling, document libraries, OCR, workflow automation, or evaluation capabilities
- Experience integrating AI solutions with enterprise systems such as Salesforce, ServiceNow, SharePoint, Google Drive, Microsoft 365, SAP, or custom applications
- Experience with Azure OpenAI, OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, or open-source LLMs
- Knowledge of Docker, Kubernetes, FastAPI, Flask, or Node.js
- Experience with LLMOps, model monitoring, prompt/version management, and observability
- Experience with data engineering, SQL, Snowflake, Databricks, or cloud data platforms
- Familiarity with responsible AI, data privacy, compliance, and enterprise governance requirements
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