Generative AI Engineer

About the Role

AI Engineer

Microsoft Azure cloud services

senior engineering role

Must-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)

  .

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.

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.

Preferred Skills

• 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.