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Home Based Observability Engineer Jobs in Missouri

Lead AI Engineer

Saint Louis, MO · On-site

$99K - $131K/yr

Build and evolve RAG and agent-based architectures. Create evaluation frameworks to improve quality ... Implement AI observability, tracing, and monitoring capabilities. Develop automated testing and ...

... s practices, observability, and software architecture. You will also leverage AI-assisted ... Design, develop, and own Java-based backend services and REST APIs in a distributed architecture.

Our partner is looking for a Senior Platform Engineer based in Netherlands. As a Senior Platform ... The role combines deep technical ownership with a strong focus on observability, reliability, and ...

New

... observability. You will establish reusable AI patterns, raise engineering standards, and deliver ... Build and evolve RAG and agent-based architectures. * Create evaluation frameworks to improve ...

$140K - $220K/yr

Our partner is looking for a Staff Platform Engineer based in Netherlands. This is a high-impact ... You will establish strong foundations for reliability, security, compliance, observability, and ...

Our partner is looking for a Founding AI Platform Engineer (MLOps / Backend) based in Netherlands ... Establish comprehensive observability across application health, model behavior, agent quality ...

Role In this role, you will: • Design, develop, and own Java-based backend services and REST APIs ... observability. • Analyze application and system performance, identifying opportunities for ...

Own the observability of AI systems you build: latency, cost, quality drift, and error rates ... based workflow automation. * Understanding of prompt engineering, context window management, and ...

New

$140K - $220K/yr

Our partner is looking for a Staff Engineer, Platform & Infrastructure based in Netherlands. This ... You will establish robust Infrastructure as Code, GitOps, observability, security, and compliance ...

(USA) Software Engineer III

Noel, MO · On-site

$90K - $180K/yr

As a Software Engineer III, you will design and develop AI-driven automation, observability ... At Walmart, we offer competitive pay as well as performance-based bonus awards and other great ...

As a Software Engineer III, you will design and develop AI-driven automation, observability ... At Walmart, we offer competitive pay as well as performance-based bonus awards and other great ...

(USA) Software Engineer III

Anderson, MO · On-site

$90K - $180K/yr

As a Software Engineer III, you will design and develop AI-driven automation, observability ... At Walmart, we offer competitive pay as well as performance-based bonus awards and other great ...

Our partner is looking for a Senior Backend Engineer, Core APIs (SRE Focus) based in Netherlands ... Build and maintain effective observability through meaningful metrics, structured logging ...

New

Showing results 21-40

Home Based Observability Engineer information

What is the difference between Home Based Observability Engineer vs Network Operations Center (NOC) Technician?

AspectHome Based Observability EngineerNetwork Operations Center (NOC) Technician
CredentialsRelevant certifications like Cisco CCNA, CompTIA Network+Similar certifications often required, such as Cisco CCNA
Work EnvironmentRemote, home-based setup with monitoring toolsOn-site or remote, monitoring network systems in a control room
Industry UsageIT, cloud services, software companiesTelecommunications, internet service providers
Job FocusMonitoring, troubleshooting, and optimizing observability toolsNetwork monitoring, incident response, and system maintenance

While both roles involve monitoring network and system health, the Home Based Observability Engineer focuses on software observability tools and cloud environments remotely, whereas the NOC Technician primarily manages network infrastructure on-site or remotely. Both require similar certifications and are vital in maintaining system uptime, but their daily tasks and work settings differ.

What are the most commonly searched types of Observability Engineer jobs in Missouri?

The most popular types of Observability Engineer jobs in Missouri are:

What are popular job titles related to Home Based Observability Engineer jobs in Missouri?

For Home Based Observability Engineer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Home Based Observability Engineer jobs in Missouri look for?

The top searched job categories for Home Based Observability Engineer jobs in Missouri are:

What cities in Missouri are hiring for Home Based Observability Engineer jobs?

Cities in Missouri with the most Home Based Observability Engineer job openings:

Infographic showing various Home Based Observability Engineer job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

$99K - $131K/yr

Contractor

Posted 7 days ago


Job description

Job Description Lead AI Engineer Location: St. Louis. MO (Hybrid) Duration: 12 Month Contract About the Role We are looking for a Lead AI Engineer to design, build, and operate enterprise AI solutions.

You will help evolve our platform from Retrieval-Augmented Generation (RAG) applications to agentic AI systems that leverage reasoning, orchestration, tool use, and autonomous workflows. You will work closely with platform engineers, architects, and business stakeholders to build scalable, reliable, and measurable AI solutions. A key part of the role is ensuring AI systems can be evaluated, monitored, and operated successfully in production.

What You Will Do Design, build, deploy, and support production AI solutions. Develop agentic workflows, tool integrations, and orchestration pipelines. Build and evolve RAG and agent-based architectures.

Create evaluation frameworks to improve quality, groundedness, and reliability. Implement AI observability, tracing, and monitoring capabilities. Develop automated testing and regression validation processes.

Integrate AI solutions with APIs, enterprise applications, and data sources. Design reusable AI patterns, frameworks, and components that increase platform scalability and team productivity. Establish engineering best practices and contribute to code reviews.

Research and adopt emerging AI technologies where they provide business value. Partner with stakeholders to translate business problems into AI solutions Required Skills: 5+ years of software engineering experience. Proven track record of delivering enterprise-grade production software.

Strong Python development skills. Experience building, deploying, and operating production AI systems. Experience designing and implementing RAG solutions.

Experience with Databricks. Hands-on experience with LangGraph or similar agent orchestration frameworks. Experience building AI workflows that leverage tools, APIs, and external systems.

Experience with AI evaluation frameworks and quality measurement. Experience implementing AI observability and tracing solutions. Understanding of agent architecture patterns, prompt engineering, and LLM evaluation techniques.

Experience with AWS in production environments. Experience designing and consuming REST APIs. Experience with Git, CI/CD, and modern software engineering practices.

Knowledge of secure coding principles and responsible AI practices. Experience collaborating within Agile software development teams Nice to Have: Experience with AgentBricks. Experience with Microsoft Copilot extensibility and agent development.

Experience with LangChain and related frameworks. Experience with MCP integrations. Experience with vector databases and semantic search.

Experience with AWS Bedrock. Experience with OpenTelemetry, LangSmith, Grafana, MLflow, DeepEval, or similar tooling. Experience deploying multi-agent systems.

Experience with Terraform. AWS, Databricks, Microsoft, or AI-related certifications. Mindset: Delivers AI solutions that create measurable business value.

Treats evaluation and observability as first-class engineering disciplines. Balances innovation with reliability, scalability, and governance. Takes ownership of production systems and outcomes.

Thinks holistically about data, architecture, monitoring, and continuous improvement. Collaborates effectively across technical and business teams. Continuously learns and adapts to evolving AI technologies.