Senior AI Engineer

OsanoAustin, TX
2hRemote

About The Position

We’re looking for a Senior AI Engineer to join our Engineering team. This person will play a pivotal role in architecting and delivering privacy-first AI systems that power the next generation of Osano’s product capabilities. This role goes beyond wrapping APIs or building chat interfaces. You will design and deploy autonomous AI agents, strict-source-following RAG systems, and evaluation frameworks that ensure reliability, compliance, and production-grade performance. This position is ideal for someone who is highly technical, thrives in ambiguity, takes ownership of 0→1 initiatives, and believes responsible AI development is non-negotiable.

Requirements

  • 5+ years of professional experience
  • Experience deploying and managing AI workloads in AWS or Azure
  • Deep technical understanding of LLM usage and orchestration beyond prompt engineering
  • Strong expertise in Python AI ecosystem, specifically:
  • FastAPI
  • LangGraph
  • Proven experience building:
  • Complex RAG systems
  • Autonomous AI agents
  • Experience building evaluation frameworks and iterating based on performance metrics

Nice To Haves

  • Experience with Knowledge Graphs to enhance RAG precision
  • Familiarity with Privacy-Enhancing Technologies (PETs)
  • Experience with data anonymization techniques
  • Background in compliance-heavy or regulated environments

Responsibilities

  • AI System Architecture
  • Architect and deploy autonomous AI agents and multi-agent workflows
  • Design strict-source-following Retrieval-Augmented Generation (RAG) systems that minimize hallucination and enforce citation integrity
  • Implement guardrails, structured outputs, and validation layers
  • Production Engineering
  • Build scalable backend services using FastAPI
  • Orchestrate agentic workflows using LangGraph
  • Deploy and manage AI workloads within AWS or Azure
  • Optimize model performance, reliability, and cost
  • Evaluation & Continuous Improvement
  • Develop rigorous evaluation pipelines measuring:
  • Accuracy
  • Citation adherence
  • Latency
  • Reliability
  • Establish metric-driven iteration cycles
  • Continuously refine deployed systems based on measurable outcomes
  • Privacy-First Development
  • Embed privacy-by-design principles across the AI stack
  • Ensure compliance, data sovereignty, and secure handling practices
  • Collaborate cross-functionally to align AI capabilities with regulatory standards

Benefits

  • Competitive-pay compensation and ownership interest/equity
  • Unlimited paid time off, plus a requirement to take at least two weeks off per year
  • We're a Best Place for Working Parents and offer paid parental leave for all new parents
  • Osano sponsors individual premiums on base plans at 100% and dependent premiums at 50% for Medical, Dental, and Vision insurance via Aetna
  • A fully and permanently remote company, so you can work from anywhere in the U.S.
  • Receive a MacBook and $600 to craft your home workspace
  • Annual company trip designed to foster connection, creativity, and fun
  • Mental health benefits with free memberships to mindfulness and talk therapy services
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service