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You won’t just be piping logs or tuning models—you’ll build and scale systems that reconcile latency, correctness, and observability across distributed pipelines. You’ll be designing the nervous system of a new class of software—where AI Agents reason, act, and fail in unpredictable ways. If you're excited by AI and want to shape its safe deployment—not just watch from the sidelines—this is your opportunity.
ThirdLaw is building the control layer for AI in the enterprise. As companies rush to adopt LLMs and AI agents, they face new safety, compliance, and operational risks that traditional observability tools were never designed to detect. Metrics like latency or cost don’t capture when a model makes a bad decision, leaks sensitive data, or behaves unpredictably.
You won’t just be piping logs or tuning models—you’ll build and scale systems that reconcile latency, correctness, and observability across distributed pipelines. You’ll be designing the nervous system of a new class of software—where AI Agents reason, act, and fail in unpredictable ways. If you're excited by AI and want to shape its safe deployment—not just watch from the sidelines—this is your opportunity.
Architect scalable, low-latency services for running evaluations in real-time and batch, integrating with streaming data pipelines and trace-based event models.
Design and build the core evaluation engine within ThirdLaw that applies heuristics, semantic models, and foundation model calls to detect violations across LLM inputs and outputs.
Build a runtime intervention layer to determine and execute appropriate enforcement actions—such as block, redact, notify, escalate—based on evaluation results and risk context.
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Create reusable frameworks for pluggable evaluators and intervention policies, supporting no-code authoring and automated deployment pipelines.
Configure and operationalize a vector database pipeline for RAG-like use cases.
Build for scale. Mitigate blocking gRPC threads, implement micro-batching & streaming for LLM/embedding calls and add reliability controls such as queue-based back-pressure and graceful degradation paths.
5+ years of Backend software engineering experience, including designing and shipping production software services
Strong coding proficiency in Python and/or Go
Deep experience with streaming data pipelines (e.g. Kafka, Pulsar, Redis Streams) and batch processing systems
Proven track record scaling high-QPS, low-latency services (p95/p99 ownership a plus).
Familiarity with vector databases (e.g. FAISS, Weaviate, Qdrant, pgvector) and embedding-based matching
Strong grasp of cloud-native infrastructure: containers, Kubernetes, serverless functions, CI/CD pipelines
Exposure to structured observability patterns, including OpenTelemetry (or similar tracing standards)
Comfortable designing—then defending—trade-offs around build vs buy vs OSS.
Experience with modern Python APIs & concurrency, e.g. gRPC, FastAPI, asyncio, multithreading/processes
Familiarity with ClickHouse, Apache Arrow, or fast analytical storage engines
Prior work on agent frameworks (e.g. LangChain, CrewAI, AutoGen) or LLM orchestration
Experience in trust & safety, compliance, or AI safety domains
Hands-on experience with secure enterprise integrations (authorization/authentication, webhooks, SIEM, IAM)
Our team is small and focused, valuing autonomy and real impact over titles and management. We need strong technical skills, a proactive mindset, and clear written communication, as much of our work is asynchronous. If you're organized, take initiative, and want to work closely with customers to shape our products, you'll fit in well here.
Finally, we pay market cash compensation and generally above-market equity. The compensation package for this role is benchmarked using Carta Total Compensation and reflects real-time market data for our company’s size, this role’s level, and your geographic location. We have well-designed and generous benefits.
https://www.thirdlaw.io/
Software to monitor, evaluate, and control enterprise AI behavior.
Visit company websiteJobs and hiring trendsFull-time
Senior · 5+ years experience
Remote
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