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

Company Overview

Company H1B Sponsorship