9 Anyscale Full Time Jobs Hiring Near You

Job Summary:
Fluency is an early-stage company building a platform to analyze productivity and process conformance in large organizations. They are seeking a full-time AI Engineer to develop and improve user-facing AI features by creating prompts, agents, and pipelines, ensuring their production readiness and reliability.
Responsibilities:
• Build new AI features end to end, from prototype to production.
• Improve AI output quality through prompt engineering, model selection, retrieval, and evaluation.
• Design and run evals that measure real output quality, not just first impressions.
• Iterate fast on prompts, agent designs, and orchestration patterns.
• Partner with the Product Engineer to translate requirements into AI features that actually work.
• Partner with the AI Platform team to land features on solid infrastructure.
• Evaluate new models, tools, and techniques when they improve quality, latency, cost, or reliability.
Qualifications:
Required:
• Hands-on experience building LLM-powered features that shipped to real users
• Production engineering chops in TypeScript/Node (primary, especially in AWS Lambda) and/or Python
• Experience with multiple LLM providers such as Anthropic, OpenAI, Google Vertex, AWS Bedrock, or similar
• Practical judgment in prompt engineering, retrieval, and agent design, backed by evaluation results
• Track record of building evaluation systems that actually catch regressions
• Solid software engineering fundamentals: you can write production code, not just notebooks
Preferred:
• Experience with provider-abstraction libraries for multi-LLM workflows
• Familiarity with pgvector or other vector retrieval systems
• Experience with post-training or fine-tuning
• Experience deploying AI features on AWS Lambda, ECS Fargate, or similar
• Background in ML, NLP, or applied research
• Experience with structured output, function calling, and tool use at scale
• Experience with Anyscale Ray or similar distributed compute frameworks for batch inference, eval pipelines, or scaling agent workloads
• Open source contributions in the LLM or agent tooling space
Company:
Developer of an AI-powered SaaS platform for automatically generated documentation, task intelligence, and executive insights. Founded in 2023, the company is headquartered in Melbourne, AUS, with a team of 11-50 employees. The company is currently Early Stage.