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Generative AI Engineer
Generative AI EngineerAccruent • ranchi, jharkhand, in
Generative AI Engineer

Generative AI Engineer

Accruent • ranchi, jharkhand, in
5 days ago
Job description

About the Role

We are seeking a hands-on AI Engineer to join our Transformation & AI 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 . The ideal candidate should be comfortable coding in Python, developing UI web applications, and working with both RDBMS and NoSQL databases .

This is a senior engineering role , requiring not only technical depth but also the ability to influence, collaborate, guide other engineers and stakeholders and help shape the future of AI at Accruent.

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.
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