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AI Engineer
Teserac, Inc.. Build intelligent systems at the intersection of applied AI and critical infrastructure .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building AI-powered applications and automation workflows, with strong proficiency in Python and experience in developing data and ML pipelines. Familiar with time-series modeling, LLM APIs, and agentic systems, contributing to AI architecture and production hardening.
Highest-signal resume keywords
Python ProficiencyData And ML Pipeline DevelopmentLLM API IntegrationTime-Series ModelingAI/ML Engineering Experience
ATS Keywords
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Hard Skills
Time-Series ModelingData Pipeline DevelopmentML Pipeline DevelopmentLLM Fine-TuningPython ProgrammingSoftware Engineering FundamentalsAgentic System ConceptsAI ObservabilityModel Serving FrameworksETL Processes
Soft Skills
Analytical ThinkingClear Communication
Tools & Technologies
GCP (Vertex AI)CursorCopilotClaude CodePyTorchLangGraphLangChainMCPCI/CD ToolsObservability Tooling
Industry Keywords
AI Development LifecycleAnomaly DetectionFailure PredictionHealth ForecastingMultivariate TelemetryBMS/OT ProtocolsData Center TelemetryIndustrial Telemetry
Tech Stack
Tools & technologiesCloudDistributed SystemsETLGoogle Cloud PlatformPythonPyTorch
About the role
Key responsibilities & impact- Build intelligent systems at the intersection of applied AI and critical infrastructure
- Work across the full AI development lifecycle, from data pipelines and model integration to agentic orchestration, evaluation, and production support
- Develop multi-agent orchestration and LLM-driven triage workflows
- Apply time-series modeling to anomaly detection, failure prediction, and health forecasting on multivariate telemetry
- Build retrieval-augmented knowledge systems for operations teams
- Develop data and ML pipelines, including ingestion, ETL, and dataset construction
- Fine-tune and post-train language models for operational use cases
- Build AI observability, evaluation frameworks, and production performance benchmarking
- Design, develop, and maintain AI-powered applications and automation workflows
- Integrate and optimize LLM APIs for production use cases
- Build and refine retrieval and knowledge-augmentation pipelines
- Implement monitoring, tracing, and debugging capabilities for AI systems
- Read and synthesize relevant research and translate ideas into practical experiments
- Contribute to AI architecture decisions and production hardening
- Stay current with the evolving AI/ML landscape
- Collaborate closely with a small, fast-moving engineering team
Requirements
What you’ll need- Degree in Computer Science, Machine Learning, Mathematics, or a related field — or equivalent demonstrated experience
- Strong proficiency in Python
- Solid software engineering fundamentals: testing, version control, CI/CD
- Experience working with LLM APIs in applied contexts
- Familiarity with agentic system concepts — tool/function-calling, agent frameworks
- Daily use of AI-assisted coding tools (Cursor, Copilot, Claude Code, etc.)
- Ability to read ML research papers and translate ideas into practical experiments
- Strong analytical thinking and clear communication — you can argue a position and update it when wrong
- Professional AI/ML engineering experience (any level)
- Experience building agentic systems using frameworks such as LangGraph or LangChain; MCP a plus
- Time-series modeling — forecasting and anomaly/failure prediction on multivariate data
- Experience fine-tuning or post-training language models
- PyTorch and/or model serving frameworks (e.g., vLLM)
- Experience building data and ML pipelines — ingestion, ETL, dataset construction
- Familiarity with cloud ML platforms, particularly GCP (Vertex AI)
- LLM evaluation and benchmarking: harness design and eval loop development
- Domain experience with data center or industrial telemetry, BMS/OT protocols (Niagara, BACnet/Modbus)
- Background in DevOps, distributed systems, or observability tooling
Benefits
Comp & perks- Health Care Plan (Medical, Dental & Vision)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Free Food & Snacks
- Stock Option Plan
- 401(k)