Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
STARLIMS

Senior AI Engineer

STARLIMS

Senior AI Engineer building reliable, observable agentic systems for STARLIMS laboratory software. Developing runtimes, production agents, evaluation harnesses, safeguards, and enterprise integrations.

Posted 8/18/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and managing production-level LLM systems, focusing on agent planning, execution, and integration with enterprise data. Proficient in backend development with AWS, TypeScript, and Python, while ensuring system reliability and security.

Highest-signal resume keywords
LLM System DevelopmentAWS Backend ServicesTypeScript ProgrammingPython ProgrammingAgent Workflow Coordination

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringProduction SystemsTool-Using WorkflowsMulti-Step Agentic WorkflowsLLM APIsDebugging Non-Deterministic SystemsEvaluation MetricsInfrastructure as CodeContainerizationOrchestration
Soft Skills
Problem SolvingAdaptabilityOwnershipCollaboration
Tools & Technologies
AWSMicrosoft .NET FrameworkTemporalStep FunctionsN8nECSEKSKubernetesTerraform
Certifications & Qualifications
MCP
Industry Keywords
Agent Security RisksDurable ExecutionPrompt InjectionData LeakageRegulated Systems

Tech Stack

Tools & technologies
AWSCloudKubernetes.NETPythonTerraformTypeScript

About the role

Key responsibilities & impact
  • Design and build the runtime for agent planning, execution loops, tool calling, state management, durable execution, and failure recovery
  • Build safe access layers for platform data and external systems
  • Design agent and workflow coordination, delegation, and handoffs
  • Make agent behavior versionable, testable, measurable, and regression-safe
  • Build reusable primitives for configuring new agents
  • Convert domain workflows into working agents with defined goals, actions, execution flows, failure handling, and success criteria
  • Ground agent decisions and outputs in authoritative enterprise data
  • Implement human-in-the-loop approval gates, override capture, uncertainty handling, and evidence for decisions
  • Use user corrections and overrides to improve agents
  • Build evaluation harnesses for multi-step behavior and define production quality, reliability, latency, cost, and intervention metrics
  • Implement guardrails, fallbacks, timeouts, cost ceilings, observability, and tracing
  • Design safeguards against prompt injection, unsafe tool use, excessive permissions, data leakage, and other agent security risks
  • Manage prompt evolution, model drift, and non-determinism across releases
  • Integrate agents with platform APIs and third-party enterprise systems
  • Build retrieval and context pipelines for reliable, permission-aware enterprise data
  • Design controlled automated execution paths with traceable audit trails
  • Build and operate AWS backend services
  • Own significant system architecture and contribute to technical decisions
  • Contribute to infrastructure-as-code and deployment pipelines

Requirements

What you’ll need
  • 6+ years of software engineering experience, including production systems
  • Experience building production LLM systems with tool-using or multi-step agentic workflows
  • Strong understanding of LLM behavior, limitations, and failure modes
  • Experience with LLM APIs, tool and function calling, and planning and execution loops
  • Experience evaluating and debugging non-deterministic systems
  • Solid backend and cloud experience with AWS or equivalent
  • Proficiency in TypeScript and/or Python
  • Comfortable debugging distributed and non-deterministic systems
  • Comfortable trading off accuracy, latency, reliability, and cost
  • Comfortable working in ambiguous problem spaces
  • Comfortable owning production systems end-to-end
  • Comfortable choosing conventional software when AI is not appropriate
  • Nice to have: C# and Microsoft .NET Framework
  • Nice to have: MCP and related agent/tool protocols
  • Nice to have: agentic evaluation pipelines and metrics
  • Nice to have: regulated or domain-heavy systems experience
  • Nice to have: retrieval and grounding techniques
  • Nice to have: workflow and durable-execution platforms such as Temporal, Step Functions, or n8n
  • Nice to have: containerization and orchestration with ECS, EKS, or Kubernetes
  • Nice to have: infrastructure as code with Terraform or similar

Benefits

Comp & perks
  • 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account STARLIMS Website LinkedIn All Job Openings 201 - 500 employees Founded 1986 🍽️ Food & Beverage 📦 Logistics 🏭 Manufacturing Food & Beverage
  • Logistics
  • Manufacturing STARLIMS is a leading provider of laboratory information management systems (LIMS) and informatics solutions, serving various sectors including life sciences, consumer goods, and public health. With over 1,100 customers across more than 85 countries, STARLIMS simplifies laboratory operations, enhances efficiency, and improves data integrity through its comprehensive platforms. The company has been delivering innovative solutions since its inception in 1986, helping laboratories optimize their R&D and quality control processes. Senior AI Engineer 🔥 0 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🤖 AI Engineer AWS Cloud Kubernetes Python Terraform TypeScript .NET Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
  • Design and build the runtime for agent planning, execution loops, tool calling, state management, durable execution, and failure recovery
  • Build safe access layers for platform data and external systems
  • Design agent and workflow coordination, delegation, and handoffs
  • Make agent behavior versionable, testable, measurable, and regression-safe
  • Build reusable primitives for configuring new agents
  • Convert domain workflows into working agents with defined goals, actions, execution flows, failure handling, and success criteria
  • Ground agent decisions and outputs in authoritative enterprise data
  • Implement human-in-the-loop approval gates, override capture, uncertainty handling, and evidence for decisions
  • Use user corrections and overrides to improve agents
  • Build evaluation harnesses for multi-step behavior and define production quality, reliability, latency, cost, and intervention metrics
  • Implement guardrails, fallbacks, timeouts, cost ceilings, observability, and tracing
  • Design safeguards against prompt injection, unsafe tool use, excessive permissions, data leakage, and other agent security risks
  • Manage prompt evolution, model drift, and non-determinism across releases
  • Integrate agents with platform APIs and third-party enterprise systems
  • Build retrieval and context pipelines for reliable, permission-aware enterprise data
  • Design controlled automated execution paths with traceable audit trails
  • Build and operate AWS backend services
  • Own significant system architecture and contribute to technical decisions
  • Contribute to infrastructure-as-code and deployment pipelines 🎯 Requirements
  • 6+ years of software engineering experience, including production systems
  • Experience building production LLM systems with tool-using or multi-step agentic workflows
  • Strong understanding of LLM behavior, limitations, and failure modes
  • Experience with LLM APIs, tool and function calling, and planning and execution loops
  • Experience evaluating and debugging non-deterministic systems
  • Solid backend and cloud experience with AWS or equivalent
  • Proficiency in TypeScript and/or Python
  • Comfortable debugging distributed and non-deterministic systems
  • Comfortable trading off accuracy, latency, reliability, and cost
  • Comfortable working in ambiguous problem spaces
  • Comfortable owning production systems end-to-end
  • Comfortable choosing conventional software when AI is not appropriate
  • Nice to have: C# and Microsoft .NET Framework
  • Nice to have: MCP and related agent/tool protocols
  • Nice to have: agentic evaluation pipelines and metrics
  • Nice to have: regulated or domain-heavy systems experience
  • Nice to have: retrieval and grounding techniques
  • Nice to have: workflow and durable-execution platforms such as Temporal, Step Functions, or n8n
  • Nice to have: containerization and orchestration with ECS, EKS, or Kubernetes
  • Nice to have: infrastructure as code with Terraform or similar Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Strategic Finance Lead, AI Infrastructure – R&D 🔥 3 hours ago TRM Labs 201 - 500 ₿ Crypto 📋 Compliance 🤝 B2B Website LinkedIn All Job Openings Strategic Finance Lead guiding AI infrastructure and R&D investment decisions at TRM Labs, whose AI intelligence platforms help agencies investigate and disrupt crime. Building scalable financial frameworks for cloud economics, technical investment, and product development. 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🤖 AI Engineer Cloud AI Engineer III 🔥 6 hours ago ONEOK 1001 - 5000 ⚡ Energy 🚗 Transport Website LinkedIn All Job Openings AI Engineer III developing and operating production AI/ML systems for ONEOK, a major midstream energy infrastructure company. Building cloud platforms, LLM tooling, optimization capabilities, and user interfaces. 🇺🇸 United States – Remote 💵 $114k - $172k / year 💰 Post-IPO Debt on 2023-08 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor AWS Azure Cloud Python SDLC SQL Terraform Lead AI/ML Engineer 🔥 9 hours ago Attain Talent 1 - 10 🎯 Recruiter 🤝 Non-profit 📚 Education Website LinkedIn All Job Openings Lead AI/ML Engineer designing and deploying AWS-based solutions for federal government initiatives. Evaluating emerging technologies, building production models, and mentoring engineering teams. 🇺🇸 United States – Remote 💵 $180k - $230k / year ⏰ Full Time 🟠 Senior 🤖 AI Engineer AWS Cloud Pandas Python PyTorch Tensorflow Senior Software Engineer – AI First 🔥 13 hours ago OPENLANE 1001 - 5000 🚘 Automotive 🏪 Marketplace 🤝 B2B Website LinkedIn All Job Openings Senior software engineer using AI to build scalable services for OPENLANE’s digital used-vehicle marketplace. Developing APIs, cloud-native systems, and AI-driven marketplace features. 🇺🇸 United States – Remote 💵 $125k - $175k / year 💰 $10M Venture Round - OPENLANE on 2008-12 ⏰ Full Time 🟠 Senior 🤖 AI Engineer AWS Cloud Distributed Systems Java Kotlin Microservices Python React Ruby SQL TypeScript Go .NET Senior Director, AI Engineering 🕒 3 days ago WCG 1001 - 5000 🏥 Healthcare 💊 Pharmaceuticals ☁️ SaaS Website LinkedIn All Job Openings Senior Director leading enterprise AI platforms for WCG’s clinical-trial solutions. Scaling ML, GenAI, governance, and globally distributed engineering teams. 🇺🇸 United States – Remote 💵 $151.2k - $275k / year 💰 Private Equity Round - WCG on 2019-11 ⏰ Full Time 🟠 Senior 🤖 AI Engineer AWS Azure Cloud Google Cloud Platform View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates About us Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass Resume Review AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs