Backend Platform Engineer - AI Analytic Engines

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June 5

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ThirdLaw Molecular

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Biotechnology • Pharmaceuticals • Healthcare Insurance

ThirdLaw Molecular is a pioneering biotechnology company that has developed a groundbreaking platform utilizing Spiroligomer™ molecules for targeted drug discovery and diagnostics. Founded by Dr. Christian Schafmeister, the company focuses on creating a new class of therapeutics that are safer and more effective by employing a unique chemical platform for the design of synthetically engineered molecules. Their innovative approach enables highly selective binding to proteins, enhancing the potential for both drug therapies and diagnostic applications.

2 - 10 employees

Founded 2020

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

📋 Description

• 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. • We help IT and Security teams answer the foundational question: "Is this OK?"—and take real-time action when it’s not. • Backed by top-tier venture firms and trusted by forward-looking enterprise design partners, we’re building the infrastructure to monitor, evaluate, and control AI behavior in real-world environments—at runtime, where it matters. • 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.

🎯 Requirements

• 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)