Backed by Y Combinator.
About the role
· Design, develop, and maintain scalable, secure, and highly available GenAI platforms and AI-powered applications on AWS. · Architect and implement Agentic AI solutions , multi-agent systems, tool integrations, function calling, and workflow orchestration frameworks. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 8–10 years of software engineering experience with at least 3+ years in GenAI/AI solution development
- Strong hands-on experience building production-grade Generative AI solutions
- Expertise in Agentic AI , AI Agents, multi-agent architectures, tool calling, function calling, orchestration, and MCP (Model Context Protocol)
- Strong experience designing and implementing RAG architectures , including embeddings, vector databases, retrieval pipelines, reranking, and semantic search
- Hands-on experience with Amazon Bedrock , foundation model integration, inference optimization, prompt engineering, and model orchestration
- Deep understanding of Large Language Models (LLMs), prompt engineering, evaluation, model selection, and deployment patterns
More about this role
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.
Please visit Fractal | Intelligence for Imagination for more information about Fractal.
We are looking for an experienced GenAI Senior Engineer to design, build, and maintain scalable, secure, and production-grade AI platforms and applications. The role will focus on Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), AWS Cloud , and modern platform engineering practices. The ideal candidate should possess deep expertise in designing enterprise-grade AI solutions using Amazon...
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