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Senior AI Engineer
Not specifiedFull-timeAI EngineeringEnterprise Software
Build and maintain agentic AI systems for digital investigation products, from prototypes through production. Work with LLMs, orchestration frameworks, and evaluation methods across online and on-premises deployments.
Responsibilities
- Design and maintain a LangGraph-based agent harness for online and offline/on-premises deployment, combining LLM and deterministic components to balance speed, memory, and cost.
- Own evaluation datasets, benchmarking frameworks, and automated regression testing to assess output accuracy.
- Standardize tool-calling interfaces for forensic engines and work with researchers to integrate AI models into products.
- Develop prototypes and proof-of-concepts, then iterate toward production systems with sound design, telemetry, and production feedback loops.
Requirements
- Bachelor’s degree in computer science or an engineering-related field.
- At least 6 years of software development experience.
- Proven Python development experience.
- Experience with agent orchestration frameworks such as LangGraph.
- Experience with agentic AI architecture, MCP, and A2A.
- Understanding of RAG pipelines, vector databases, embeddings, and retrieval techniques such as chunking, indexing, filtering, and relevance tuning.
- Experience with AI evaluation frameworks, prompt testing, or online and offline quality measurement.
Nice to have
- Experience developing enterprise-scale applications in a SaaS environment.
- Experience designing observability for infrastructure and AI workloads, including metrics, logging, tracing, and AI quality signals.
- Experience with an object-oriented programming language.