About Us:

We're building the next generation of AI-powered B2B solutions at scale. Our team is at the forefront of deploying large language models (LLMs) and knowledge graphs to transform how businesses access and use information. We work closely with product, engineering, and ML teams to bring cutting-edge AI capabilities to production.

What You'll Do:

• Design and build a scalable LLMOps platform to support multiple production AI applications
• Create and implement evaluation frameworks and guardrails for LLM deployments
• Fine-tune embedding models and pre-train LLMs for specific business use cases
• Develop proof-of-concepts for new AI technologies and compare them with existing approaches
• Build and optimize knowledge graphs for search and recommendation systems
• Work with ML teams to enable new AI capabilities across our product suite
• Share knowledge and mentor team members on best practices in AI engineering

What You Bring:

• 5+ years of experience in machine learning engineering or AI infrastructure
• Strong background in deploying open-source LLMs in production environments
• Hands-on experience with model fine-tuning and embedding models
• Expertise in RAG (Retrieval Augmented Generation) and vector databases
• Knowledge of LLM evaluation methods and governance
• Experience with tools like Hugging Face and modern ML frameworks
• Background in Computer Science, Electrical Engineering, or related field (Masters/PhD preferred)

Ideal Experience:

• Built and scaled AI systems at companies with strong technical cultures
• Worked on knowledge graphs, search, or recommendation systems
• Experience with B2B or B2C products using AI at scale
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Why You'll Love It Here:

• Work on cutting-edge AI technology that directly impacts business outcomes
• End-to-end ownership of features from concept to production
• Collaborative team environment focused on learning and mentorship
• Opportunity to publish and share work with the broader AI community
• Build next-generation AI capabilities used by leading global companies

We're looking for curious minds who love solving complex problems and want to shape the future of AI in enterprise software. If you're excited about building reliable, scalable AI systems that deliver real business value, we want to talk to you!

Location: Remote / USA

Type: Full-time