Empirical
Empirical is a unique beverage company that specializes in crafting innovative and unconventional spirits. With a focus on exploring bold flavors, Empirical creates distinctive products like the Cilantro spirit, which emphasizes the complex taste of cilantro. The brand is dedicated to experimentation and collaboration, offering a variety of cocktails and tasting experiences that appeal to both cocktail enthusiasts and newcomers. Empirical aims to redefine conventional expectations around spirits and flavors, making each product a sensory adventure.
AI Back End Engineer
February 17
Empirical
Empirical is a unique beverage company that specializes in crafting innovative and unconventional spirits. With a focus on exploring bold flavors, Empirical creates distinctive products like the Cilantro spirit, which emphasizes the complex taste of cilantro. The brand is dedicated to experimentation and collaboration, offering a variety of cocktails and tasting experiences that appeal to both cocktail enthusiasts and newcomers. Empirical aims to redefine conventional expectations around spirits and flavors, making each product a sensory adventure.
📋 Description
• Design and implement agentic workflows using LangChain and LangGraph • Build and optimize RAG systems for improved information retrieval and generation • Deploy and maintain AI services on AWS infrastructure • Integrate various LLM services and fine-tune models as needed • Collaborate with the team on architecture decisions and best practices • Implement and maintain production-grade AI endpoints • Ensure high performance and reliability of AI systems • Optimize AI workflows for cost and efficiency
🎯 Requirements
• Must haves • 5+ years of software development experience in Python • Strong expertise in LangChain, LangGraph, and other agentic frameworks • Experience implementing production RAG systems • Proficiency with AWS services (Bedrock, Lambda, API Gateway, S3, DynamoDB) • Experience with LLM APIs (OpenAI, AWS Bedrock) • Strong background in building scalable backend services • Experience working in agile development environments using git • Proven track record of deploying AI solutions to production • Nice-to-haves • Frontend/full-stack experience with React and Next.js • Experience with containerization (Docker, Kubernetes) • Knowledge of vector databases (Pinecone, Redis) • Familiarity with deep learning frameworks • Experience with model fine-tuning • Background in NLP tools (spaCy, NLTK)
🏖️ Benefits
• Remote/flexible work • Highly competitive compensation in US dollars • Opportunities for personal and professional development; mentorship, coaching and training as needed • Ongoing, 40 hours per week dedication • The opportunity to be part of an amazing, multicultural community of tech experts
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