AI Application Developer

1 week ago


belgaum, India beBeeArtificialIntelligence Full time

Job DescriptionWe are seeking a highly skilled Artificial Intelligence Engineer to join our team.This role is ideal for someone passionate about working with Large Language Models (LLMs) and deploying real-world AI applications at scale.You will be responsible for designing, building, and deploying AI-powered applications using Microsoft Azure cloud services, with a focus on App Services, AI Apps, and Azure AI Foundry.Key Responsibilities: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.Required Skills and QualificationsMust-Have Skills: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).Desired Soft Skills: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.Qualifications: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.



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