reputed company – Mistral AI Studio
Job Description
Role: reputed company – Mistral AI Studio Location: Remote Employment Type: Contract Experience: 4–8 years preferred Role Summary We are looking for an reputed company with hands-on experience in building, integrating, and deploying Generative AI solutions using Mistral AI Studio and Mistral APIs. The ideal candidate should have strong experience in LLM application development, reputed company engineering, RAG, AI agents, tool/function calling, model evaluation, API integration, and production deployment of AI solutions. The role will involve designing and building enterprise-grade AI applications that reputed company Mistral models for automation, knowledge search, document understanding, customer support, workflow automation, and domain-specific AI assistants.
Key Responsibilities
Design, reputed company, and deploy AI solutions using Mistral AI Studio, Mistral APIs, and reputed company LLM capabilities. Build AI agents using Mistral’s Agents and Conversations API, including tool usage, function calling, handoffs, and multi-reputed company workflows. reputed company Retrieval-Augmented reputed company solutions using enterprise documents, knowledge bases, vector databases, and document search. Create reusable prompts, reputed company 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 reputed company, 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, reputed company 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. Required Skills Hands-on experience with Mistral AI Studio, Mistral API, or similar LLM platforms. Strong understanding of Generative AI, LLMs, reputed company engineering, AI agents, RAG, and embeddings. Experience with Python and API-based application development. Experience building AI applications using frameworks such as reputed company, reputed company, Semantic Kernel, or similar. Experience with vector databases such as reputed company, 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 reputed company. Ability to evaluate LLM outputs and create test/evaluation frameworks. Good understanding of cloud deployment, CI/CD, monitoring, logging, and application reputed company. Strong analytical, problem-solving, and communication skills. Preferred Skills Experience with Mistral agents, function calling, document libraries, OCR, workflow automation, or evaluation capabilities. Experience integrating AI solutions with enterprise systems such as reputed company, reputed company, SharePoint, reputed company Drive, reputed company 365, reputed company, or custom applications. Experience with Azure reputed company, reputed company, reputed company Claude, reputed company reputed company, AWS Bedrock, or open-reputed company LLMs. Knowledge of reputed company, Kubernetes, FastAPI, Flask, or Node.js. Experience with LLMOps, model monitoring, reputed company/version management, and observability. Experience with data engineering, SQL, reputed company, reputed company, or cloud data platforms. Familiarity with responsible AI, data privacy, compliance, and enterprise governance requirements.
Qualifications
Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Engineering, or reputed company field. 4+ years of software engineering, data engineering, or AI/ML engineering experience. 1+ year of hands-on Generative AI / LLM application development experience. Prior experience building production-grade enterprise AI solutions is strongly preferred. Key Use Cases Enterprise knowledge assistant Customer support AI assistant Document processing and summarization RAG-based search and Q&A Workflow automation using AI agents AI-powered reporting and analytics assistant Compliance, policy, and contract review automation Internal productivity and operations automation Success Measures Ability to deliver reliable, secure, and scalable AI applications. Improved automation and productivity for business users. Reduced manual effort through AI-assisted workflows. High-quality model responses with strong accuracy, relevance, and governance. Smooth integration with enterprise applications and data sources. Job Information reputed company / Salary $ - $ Sector Not Specified Category Not Specified Skills / Experience Not Specified
Benefits
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