Logo for ThirdLaw Molecular

Founding Software Engineer

Role overview

Qualifications

  • 10+ years of backend or data engineering experience, ideally with a focus on distributed systems or streaming architectures.
  • Strong in Golang and/or Python; experienced with gRPC, REST, and working in Unix/Linux environments.
  • Familiarity with schema evolution, ORMs, and data mapping strategies in evolving analytics systems.
  • Comfort working with Kubernetes and cloud-native services in AWS/GCP/Azure.

Responsibilities

  • Architect and evolve core backend systems—event ingestion, real-time risk evaluation, semantic search, and investigation-grade querying.
  • Design and optimize streaming data pipelines using Kafka, Redpanda, or similar technologies to support high-throughput, low-latency processing of LLM interactions.
  • Define and refine data models and schemas across structured, analytical, unstructured, and vector storage layers.
  • Identify architectural weaknesses and performance bottlenecks across ingest, indexing, and query layers; lead improvements to support scalability, correctness, and observability.

About the company

ThirdLaw Molecular logo

ThirdLaw Molecular

Biotechnology

Ladder Bio (formerly ThirdLaw Molecular) has pioneered the development of Spiroligomer™ molecules and is developing this innovative, patent-protected, therapeutic modality into a new class of more targeted medicines. The mission of Ladder Bio is to create a revolutionary category of molecules that transform how diseases are diagnosed and treated – more safely and effectively.

Company details

IndustryBiotechnology
Company size2 - 10

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

About the Company

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.

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. If you're excited to build systems that help AI work as intended—and stop it when it doesn’t—we’d love to meet you.

About the Role

You won’t just be piping logs or tuning models—you’ll architect 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.

What You’ll Do

  • Architect and evolve core backend systems—event ingestion, real-time risk evaluation, semantic search, and investigation-grade querying.

  • Design and optimize streaming data pipelines using Kafka, Redpanda, or similar technologies to support high-throughput, low-latency processing of LLM interactions.

  • Define and refine data models and schemas across structured (Postgres), analytical (ClickHouse), unstructured (S3), and vector (Qdrant) storage layers.

  • Identify architectural weaknesses and performance bottlenecks across ingest, indexing, and query layers; lead improvements to support scalability, correctness, and observability.

  • Implement data ingestion and transformation frameworks that support policy evaluation, semantic analysis, and dynamic response.

  • Optimize query performance, storage efficiency, and retrieval accuracy to support deep investigation and real-time enforcement.

  • Build and maintain backend APIs, monitoring infrastructure, and policy enforcement workflows that underpin the ThirdLaw platform.

Who We are Looking For

You’ll be one of the first backend hires, helping define not just what we build, but how we build it.

Required

  • 10+ years of backend or data engineering experience, ideally with a focus on distributed systems or streaming architectures.

  • Strong in Golang and/or Python; experienced with gRPC, REST, and working in Unix/Linux environments.

  • You’ve been the architect behind at least one complex distributed system—ideally involving real-time data, search, or observability—and can explain your design decisions clearly.

  • Familiarity with schema evolution, ORMs, and data mapping strategies in evolving analytics systems.

  • Comfort working with Kubernetes and cloud-native services in AWS/GCP/Azure.

  • Ability to debug deeply, reason about performance tradeoffs, and own systems end to end.

Nice-to-Have

  • Experience with semantic search, vector embeddings, AI agent infrastructure (e.g. LangChain, CrewAI, Autogen, etc.) and integrating LLM telemetry or foundation model outputs into observability pipelines.

  • Familiarity with OpenTelemetry, event trace modeling, Model Context Protocol (MCP), or real-time AI evaluation architectures.

  • Based in or willing to spend time in the San Francisco Bay Area for in-person collaboration.

Why Apply?

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/

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Software Engineer Related jobs

Other jobs at ThirdLaw Molecular

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.