Senior AI Engineer

Osano

Senior AI Engineer building autonomous agents, RAG systems, and evaluation frameworks for Osano’s privacy compliance platform. Deploying reliable, privacy-first AI workloads with Python, FastAPI, LangGraph, AWS, and Azure.

Posted 8/14/2026full-timeRemote • Texas • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and deploying autonomous AI agents and multi-agent workflows, with a strong focus on Retrieval-Augmented Generation systems and compliance with regulatory standards. Proficient in optimizing model performance and implementing privacy-by-design principles across AI systems.

Highest-signal resume keywords

5+ Years Professional ExperienceExpertise in Python AI EcosystemExperience Deploying AI Workloads in AWS or AzureExpertise with FastAPIProven Experience Building Complex RAG Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Autonomous AI AgentsRetrieval-Augmented Generation (RAG)Model Performance OptimizationEvaluation FrameworksData Anonymization Techniques

Soft Skills

CuriositySelf-DirectionMotivation to Learn QuicklyComfort Navigating AmbiguityCreating Clarity

Tools & Technologies

FastAPILangGraphAWSAzure

Industry Keywords

Privacy-Enhancing Technologies (PETs)ComplianceData SovereigntySecure Handling PracticesRegulated Environments

Tech Stack

Tools & technologies

AWSAzurePython

About the role

Key responsibilities & impact

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
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
Develop rigorous evaluation pipelines measuring accuracy, citation adherence, latency, and reliability
Establish metric-driven iteration cycles
Continuously refine deployed systems based on measurable outcomes
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

Requirements

What you’ll need

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 the Python AI ecosystem
Expertise with FastAPI
Expertise with LangGraph
Proven experience building complex RAG systems
Proven experience building autonomous AI agents
Experience building evaluation frameworks and iterating based on performance metrics
Curiosity, self-direction, and motivation to learn quickly
Comfort navigating ambiguity and creating clarity
Interest in privacy, responsible AI, and trustworthy technology
Nice-to-have: Experience with Knowledge Graphs to enhance RAG precision
Nice-to-have: Familiarity with Privacy-Enhancing Technologies (PETs)
Nice-to-have: Experience with data anonymization techniques
Nice-to-have: Background in compliance-heavy or regulated environments

Benefits

Comp & perks

Competitive-pay compensation and ownership interest/equity
Unlimited paid time off, plus a requirement to take at least two weeks off per year
Paid parental leave for all new parents
Medical, Dental, and Vision insurance via Aetna; individual premiums on base plans sponsored at 100% and dependent premiums at 50%
Fully and permanently remote work from anywhere in the U.S.
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
Training program, well-defined career paths, and professional development support