Artificial Intelligence Engineer

To apply for this role, kindly fill the form: Role

- AI Engineer Location

- Bengaluru Work Mode

- Hybrid Exp

.- 5+ years

Job Description 6+ years of hands-on development experience overall, at least 1 year in Generative AI, Large Language Models (LLMs), and prompt engineering.

About Company Ascendion

is a global digital engineering organization that delivers AI-powered software solutions, platform engineering, and cloud transformation services to Fortune 500 clients. We combine technology, data, and human ingenuity to help businesses accelerate innovation and achieve measurable outcomes.

Role Overview We are seeking an experienced

Generative AI Engineer

with strong Python expertise and hands-on experience in Large Language Models (LLMs), prompt engineering, and Azure AI ecosystem. In this role, you will design and build enterprise-grade AI solutions leveraging LLMs, Retrieval-Augmented Generation (RAG), and agentic workflows to solve complex real-world business problems. Key Responsibilities Design and develop AI-powered applications using LLMs such as GPT-4 / GPT-4o Build and optimize prompt engineering strategies for: Text-to-SQL Summarization Classification Develop scalable RAG-based solutions Create agentic workflows using language models Integrate AI solutions with enterprise systems via APIs Collaborate with cross-functional teams to deliver production-ready AI systems Ensure performance, scalability, and reliability of deployed AI solutions Work within Azure AI ecosystem for deployment and orchestration Skills – Must have: Problem-Solving: Demonstrated ability to develop innovative solutions for complex problems and implement them in real-world applications. Communication: Excellent verbal and written communication skills. Proficiency in Core Python: Must be able to write enterprise grade code comfortably Azure cloud services, including Azure Cognitive Services, Azure OpenAI Service, and related SDKs. Experience with other hyperscalers – AWS, GCP is acceptable Knowledge of LLM techniques, prompt engineering, RAG and experience in agentic workflow creation using language models like GPT-4, GPT-4-o, or other hosted models. Prompt engineering strategies for tasks like text-to-SQL, summarization, and classification Expertise in frameworks such as LangChain, LlamaIndex, and LangGraph is essential. Technical skills: Good to have: Experience with API integration and development such as FastAPI is a valuable addition. Familiarity with Azure Functions, Azure Logic Apps, and Azure DevOps is advantageous.