AI Ops Engineer (contract)

We are seeking an AI Ops Engineer to design and implement intelligent automation solutions for operational monitoring, anomaly detection, and incident response. This role requires deep proficiency in Python, experience with LangChain and agentic frameworks, and the ability to integrate and visualize operational data. You will be responsible for building autonomous agents, automating workflows, and ensuring real-time observability through integrations and visualization tools. Key Responsibilities • Design and implement autonomous agents using LangChain for log analysis, anomaly detection, and incident response. • Integrate Elasticsearch with LangChain to extract, summarize, and visualize operational data for monitoring. • Automate workflows for incident detection, alerting, and remediation using Python and LLM-based agents. • Build and maintain integrations with Slack and Microsoft Teams for real-time alerting and collaboration. • Develop graph plotting and data visualization tools using Python libraries (e.g., Matplotlib, Plotly) to support operational insights. • Apply strong proficiency in Python for scripting, backend development, and automation. • Leverage experience with LangChain, AutoGen, or similar agentic frameworks for building intelligent systems. • Collaborate with cross-functional teams to translate operational needs into intelligent automation solutions. • Demonstrate excellent problem-solving, analytical, and communication skills in a fast-paced, agile environment. Technical Profile • Proficiency in Python for automation, backend development, and scripting. • Experience with LangChain, AutoGen, or similar agentic frameworks. • Strong knowledge of Elasticsearch integration and data visualization. • Expertise with Python visualization libraries such as Matplotlib and Plotly. • Hands-on experience with real-time alerting and collaboration tools (Slack, Microsoft Teams). • Familiarity with anomaly detection, incident response automation, and observability solutions. Functional Profile • Strong problem-solving and analytical skills with a focus on operational excellence. • Ability to work in fast-paced, agile environments. • Effective cross-functional collaboration to deliver intelligent automation solutions. • Skilled in translating operational requirements into technical implementations. Skills Summary Core Expertise: • AI Ops, Intelligent Automation, Incident Response, Observability Languages & Frameworks • Python, LangChain, AutoGen Reactive & Event-Driven Tools • Workflow automation, real-time incident detection/alerting Database & Messaging • Elasticsearch DevOps & CI/CD • Agile methodologies, automation-driven operational pipelines Other Tools & Technologies • Slack, Microsoft Teams, Matplotlib, Plotly Soft Skills • Problem-solving • Analytical thinking • Strong communication • Collaboration in cross-functional teams • Adaptability in fast-paced environments The pay range that the employer in good faith reasonably expects to pay for this position is $47.34/hour - $73.96/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.