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Iclivia - Generative AI Engineer - Azure Platform

1 month ago

delhi in Iclivia Full time

Job Description : Gen AI Engineer with Azure Experience

Experience : 7 to 10 years

Location : Remote

Employment Type : Overview :


We are seeking a talented Gen AI Engineer with hands-on Azure experience to design and develop advanced Generative AI solutions for complex business use cases. This role involves working with both procode and low-code platforms, leveraging Azure OpenAI tools and packages, and deploying scalable, efficient AI Expertise :

Must Have :

- Proficient in Python programming with experience working across agentic platforms (e.g., Autogen, Semantic Kernel, LangGraph) to low-code platforms (e.g., Crew.ai, EMA.ai).

- Hands-on experience with Azure OpenAI and related tools and services.

- Fluent in GenAI packages such as LlamaIndex and LangChain.

Soft Skills :

- Excellent communication and collaboration skills, with the ability to engage stakeholders across both business and technical teams.

- Strong problem-solving and analytical skills, with attention to detail.

- Ability to work within dynamic, fast-paced environments and manage competing priorities effectively.

Experience :

- 7 to 10 years of experience in software development, with a minimum of 3 years specifically working on AI/ML or Generative AI projects.

- Demonstrated experience in deploying and managing AI applications in live production environments.

Key Responsibilities :

- Design, develop, and implement complex Generative AI solutions that are accurate and cater to challenging, intricate use cases.

- Utilize both procode agentic platforms (e.g., Autogen, Semantic Kernel, LangGraph) and low-code platforms (e.g., Crew.ai, EMA.ai) to create scalable solutions.

- Leverage the Azure OpenAI ecosystem, including model training, advanced prompting, Assistant API, and agent curation.

- Write efficient, clean, and maintainable Python code for the development of AI applications.

- Develop and deploy RESTful APIs using frameworks like Flask or Django for seamless AI model integration and consumption.

- Fine-tune and optimize AI models to align with business objectives and use cases.

(ref:hirist.tech)