Technical Architect
1 week ago
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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