AI Engineer (Pleno)
Company
Fortive
Location
Remote
Type
Full Time
Job Description
Proven hands-on experience with LLMs (Azure OpenAI HuggingFace RAG pipelines etc.). Strong experience with Azure Cloud - building and deploying App Services and AI Apps. Experience working with Azure AI Foundry and integrating AI models. Proficiency in Python for AI/ML development and automation. Experience in UI/web app development (HTML JavaScript/TypeScript React/Angular). Experience integrating LLMs into business process workflows and chat-based UI (Teams Power Apps etc.). Strong knowledge of databases - both RDBMS (SQL PostgreSQL MySQL) and NoSQL (CosmosDB MongoDB). Strategic Thinking - ability to translate business problems into technical AI solutions. Collaboration & Influence - skilled at working with stakeholders across business and technology teams. Communication Excellence - can clearly explain complex AI/ML concepts to non-technical audiences. Leadership & Mentorship - capable of guiding other engineers fostering best practices and raising overall team capability. Adaptability - thrives in fast-paced ambiguous environments with shifting priorities. Problem-Solving Mindset - approaches challenges with creativity pragmatism and a solution-oriented attitude. Bachelor's or Master's degree in Computer Science Software Engineering Data Science or a related field. Software engineering experience with work background focused on AI/ML. Solid understanding of software engineering practices CI/CD pipelines and DevOps in Azure. Azure certification (AI Engineer Associate Solutions Architect or Developer). Experience with LLM orchestration frameworks (LangChain CrewAI n8n etc.). Familiarity with vector databases (e.g. Pinecone Qdrant Azure Cognitive Search). Knowledge of RPA tools (Power Automate UI Path) and integration with enterprise systems. Exposure to building chat-based AI applications integrated with Microsoft Teams Power Apps or web portals. Prior experience in Salesforce & Snowflake integration is a strong plus. Design develop and deploy AI applications leveraging LLMs and Azure AI services (Azure OpenAI Cognitive Services Azure Machine Learning Azure AI Foundry). Build and deploy scalable App Services and AI Apps on the Azure Cloud. 100% hand-on development of Python-based solutions and UI web applications for AI functions. Work with structured and unstructured data leveraging both RDBMS and NoSQL databases including Snowflake. Rapidly build test and iterate on proof-of-concepts (PoCs) for real-world business challenges. Mentor other IT staff and provide technical leadership across the IT organization. Collaborate closely with business stakeholders and cross-functional teams to productionize AI applications. Stay current with emerging LLM frameworks (LangChain CrewAI n8n etc.) and integrate them into enterprise workflows.
Date Posted
11/18/2025
Views
0
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