Tech Specialist

6 days ago

Bangalore, India Tavant Full time
With 25+ years of experience building innovative digital products and solutions, Tavant provides impactful results to its customers. It has been the frontrunner in driving digital innovation and tech-enabled transformation across a wide range of industries such as Consumer Lending, Manufacturing, Agtech, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific. Powered by Artificial Intelligence and Machine Learning algorithms, we help our customers improve their operational efficiency, productivity, speed, and accuracy. And we don’t focus just on what we do – we also care how we do it. So, bring your talent and ambition to make a difference. Job Title – AI Architect
Work Experience – 8 to 14 Years
Define and Build Gen AI-driven SDLC: Design and implement a new framework for software development that embeds Gen AI at its core, from requirements gathering and design to coding, testing, and deployment.
Team Enablement and Collaboration: Work closely with various project teams to identify opportunities for using Gen AI in their daily workflows. Provide guidance, training, and support to help them boost productivity and efficiency.
Develop Custom AI Tooling: Build and deploy bespoke AI solutions to automate SDLC tasks. This includes creating tools using Large Language Models (LLMs), implementing Retrieval-Augmented Generation (RAG) architectures for knowledge management, and developing intelligent AI agents to handle complex processes.
Fine-Tune Open Source LLMs: Customize and fine-tune open-source LLMs on our internal codebases and data to create specialized models that understand our unique context and requirements. (Drive Innovation: Stay at the forefront of AI advancements, continuously evaluating new tools and techniques to further enhance our development processes and solve project-specific challenges.

8-14 years of experience in software development, with proven experience as a Technical Lead/Architect or a similar senior engineering role.
~ Demonstrated experience in designing, architecting, and building scalable, large-scale enterprise applications from the ground up.
~ Strong hands-on experience with Generative AI technologies, including LLMs (e.g., GPT series, Claude, Llama, Mistral), vector databases, and embedding models.
~ Demonstrated expertise in building and implementing RAG architectures.
~ Practical experience in fine-tuning open-source LLMs for specific tasks. (Proficiency in developing AI agents and automation workflows using frameworks like LangChain or similar.
~ Deep understanding of the entire SDLC and agile methodologies.
~

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