Padmi

Technical Architect - Agentic AI

HyderabadPosted 10 months ago
Software engineeringSenior
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Technical Architect - Agentic AI | Job Opening Technical Architect Agentic AI Technical Architect Agentic AI Location Hyderabad or Bangalore Experience 12 to 16 Years Primary Skills: 10-12 years of experience in AI/ML-related roles, with a strong focus on OpenAI technology. GenAI Expertise: 1-2 years of experience in building Generative AI applications, including RAG, LLM chaining using Lang chain, prompt engineering. 5+ years of experience in Python-based backend services, APIs, and orchestrators that manage tool invocation, context handling, and task decomposition. 1+ year experience in developing goal-oriented autonomous agents capable of planning, decomposing tasks, and invoking tools via APIs and actions. 1+ years experience in optimizing Azure OpenAI models for enhanced performance and scalability. 1-2 years of experience in integrating OpenAI models into software applications using OpenAI APIs. Job Description: As a Technical Architect specializing in OpenAI technology and Cognitive Services, you will lead the design and development of AI solutions and models powered by OpenAI s state-of-the-art models. You will collaborate with cross-functional teams to build innovative AI solutions. Your responsibilities will include: Primary Responsibilities: Creating scalable architectures and designs for GenAI projects. Responsible for providing technical guidance and leadership to the team and ensuring that projects are delivered on time and to a high standard. Proven experience as a Data Scientist/AI Developer with expertise in machine learning and data science. Design and develop GenAI-powered chatbots and virtual assistants using RAG (Retrieval-Augmented Generation) techniques. Experience in creating AI agents using agentic frameworks like langGraph, autogen, etc. Programming and Implementation: Write high-quality, efficient code in Python for AI model development, with a strong focus on OpenAI libraries and frameworks. Design RAG pipelines that ingest data from structured and unstructured sources API Integration: Integrate OpenAI models into software applications and systems, ensuring seamless functionality. Collaboration: Collaborate closely with data scientists, engineers, and product managers to translate project requirements into technical specifications. Documentation: Create and maintain technical documentation for OpenAI models, algorithms, and best practices Secondary Responsibilities: Research: Stay updated on the latest developments in OpenAI technology, best practices, and emerging capabilities. Proof of Concept: Participate in the development of proof-of-concept projects to explore the feasibility of OpenAI solutions. Key skills: AI/ML, Open AI, Gen AI, Python, LLM, RAG, Langchain

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