Eloquentai
AI Engineer, Multimodal LLMs
San Francisco
Sponsorship not specifiedDetected 334 days ago
PythonAWSGCPAzureCloud PlatformsMachine LearningDeep LearningPyTorchNLPComputer VisionLLMsRAGAgentic AIResearchProblem Solving
About the role
- If you're passionate about LLMs, conversational AI, and solving last-mile AI adoption challenges, this role is for you.
- Explore optimal trade-offs between model quality and efficiency when translating research into practical solutions
- Refine training paradigms for real-world applications
Responsibilities
- Build, deploy, and optimize AI agents that engage in enterprise-grade conversations.
- Collaborate with cross-functional teams (engineering, research, and product) to shape Eloquent AI's roadmap.
Requirements
- 3+ years of experience in software development, AI engineering, or NLP in a production environment.
- Strong proficiency in Python, with experience in frameworks like PyTorch and TensorFlow.
- Familiarity with APIs, cloud infrastructure (AWS, GCP, or Azure), and enterprise integrations.
- Ability to prototype, experiment, and iterate quickly to improve AI agents.
Skills
- Integrate AI agents with enterprise systems via APIs, databases, and automation tools.
Benefits
- Design & develop next-gen multimodal LLM architectures (LLMs, speech, vision, reinforcement learning)
- You'll work directly with software engineers, deep learning experts and AI researchers to design intelligent agents that understand, take action, and deliver real business impact.
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This listing is sourced directly from Eloquentai's careers page and normalized into a canonical job model.