Data Scientist

Experience: 5+ years production software engineering, with 2+ years working directly on LLM or agent systems in production. 

Location: Remote 

To streamline and fast-track screening, please submit your details here (if you haven’t already): https://airtable.com/appbtkr4odapnb5I6/pagqo91lKv3VJg3GT/form 

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Why This Role Matters

Terrabase builds agent infrastructure that enterprise customers rely on daily for SQL generation, forecasting, data analysis, and artifact delivery. Our orchestration layer routes between specialized sub-agents, manages typed handoff contracts, runs structured eval suites, and enforces correctness across every turn.

This is not a research-prototype role. You will build and evolve agent architecture, but always in service of making the system observable, typed, evaluated, recoverable, and boringly reliable in production.

What You Will Do

Own the harness architecture and middleware stack. Our LangGraph orchestrator routes between sub-agents through a layered middleware stack: file upload handling, source resolution, local context, workspace sync, state hydration, aggregation barriers, and typed handoff contracts. You will extend this stack, enforce its contracts in code, and keep it operational as routing logic and agent surfaces evolve.

Maintain typed contracts and boundaries. Agent handoffs at Terrabase carry typed contracts with barrier conditions and retry predicates. You will design these contracts, enforce them with strict typing, manage backward compatibility when contracts change, and write the contract tests that prevent silent regressions.

Own the eval suites. We run structured eval suites across routing decisions, context-resolution accuracy, multi-turn coherence, visual reference alignment, and artifact correctness. You will extend coverage, write new evals where gaps exist, and build CI gates that block releases when regressions are detected. A routing change or prompt change with no eval coverage does not ship.

Triage production failures and close the loop. When an agent turn fails in production, you will trace it in LangSmith, identify the failure class, and convert it into a durable regression test. You will own the release gates, keep prompts and runtime contracts in sync, manage feature flag rollout risk, and remove dead paths as the system evolves.

Own SQL and artifact correctness. Our agents generate SQL over customer schemas and produce structured artifacts (reports, dashboards, data sheets) under a strict schema contract. You will own the correctness layer: source grounding, schema-aware validation, provenance surfaces, and the eval infrastructure that catches generated artifact failures before they reach customers.

Build and maintain HITL workflows. Human-in-the-loop checkpoints let users intervene, redirect, or approve mid-chain. You will design these workflows, enforce their resumable state contracts, and ensure they degrade gracefully when interrupted.

Instrument for traceability. You will extend LangSmith tracing coverage, add structured span annotations, and build the tooling that lets us diagnose a bad agent turn from production trace data alone, without requiring a local reproduction.

What We Are Looking For

• 5+ years production software engineering, with strong Python fundamentals
• 2+ years working hands-on with LLM-based systems: agent loops, tool use, context management, or inference pipelines
• Experience with LangGraph, LangChain, OpenAI/Anthropic tool-use systems, or equivalent multi-step agent/runtime orchestration
• Practical eval engineering: you have built or extended eval harnesses, written automated test cases for agent behavior, and treated evaluation as an ongoing engineering discipline
• Strong engineering hygiene: strict typing, small interfaces, contract tests, clear schema migrations, and CI discipline
• Ability to debug from production traces and artifacts, not only local reproductions
• Comfort working across prompts, Python runtime code, TypeScript product surfaces, data systems, and eval infrastructure
• Systems thinking: you design for observability, recovery, and state management, not just the happy path
• Maintenance ownership mindset: you triage, close loops, and leave systems more debuggable than you found them
• Pragmatic judgment: you can distinguish between reliability-critical infrastructure and speculative abstraction

Bonus Points

• HITL workflow design: checkpoints, approvals, mid-chain interrupts, resumable state
• Context engineering depth: chunking strategies, retrieval-augmented generation, semantic routing, re-ranking
• Experience with LangSmith, Weights and Biases, or similar trace and evaluation platforms
• Prior work shipping agent systems to enterprise customers where SQL or data correctness is a hard requirement
• Experience with mypy, Pydantic contracts, or strict typing disciplines in a production Python codebase

Life at Terrabase

We are a sharp, focused, fully remote team building agent infrastructure that enterprise customers trust with their data. You will work directly alongside the engineer who designed this harness, with broad ownership, generous compute budgets, and a culture that treats reliability as a product requirement, not a research topic.

Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.

As a Senior Security Operations Engineer, you will be an integral part of Qualys SOC (Security Operation Center) and CSIRT (Cyber Security Incident Response Team) contributing to the day-to-day activities aimed at governing entire incident management lifecycle from incident monitoring, triaging, analyzing, and responding to security incidents. This role requires a solid understanding of security technologies, incident triage/investigation & incident response, and a proactive approach to identifying and mitigating potential threats. You will leverage advanced cybersecurity tools and techniques to monitor and secure Qualys infrastructure/systems, Qualys Cloud Platforms, respond to alerts, investigate potential threats, and proactively work for mitigation of identified cyber threats/incidents. At the same time, you will be responsible for providing expert guidance to other SOC engineers in the team and working closely with SOC/CSIRT leadership to improve the organization’s security posture.

Technical & Professional
Requirements

• Reactjs Nodejs developer must know MongoDB, Express, Node.js, & React.
• Creating RESTful services with Node.js
• MERN stack developer must have proven experience in front & back-end development
• Work in a cross-functional team to deliver a complete user experience
• Create Unit and Integration tests to ensure the quality of code
• Be responsive to change requests and feature requests
• Candidate must have good Knowledge of Node Debugging
• Understanding & proficiency in REST APIs.
• MERN stack developer should know Git Repository
• Integration of data storage solutions [RDBMS, NoSQL DB]

• Implementation of security and data protection
• Elementary knowledge of GRAPHQL
• Understanding of performance testing and optimization techniques
• MERN software developer must have good communication & interpersonal skills
• Ability to work independently with minimum supervision.

Type of Work

• 80% Backend 20% Frontend
• Building SAAS products inhouse and working on SI(System integrator) projects for other SAAS companies

• Graduation in computers –Full-time B.E / B. Tech or an MCA degree (Regular Program, no part-time or long-distances courses).

A malware analyst examines malicious software, such as bots, worms, and trojans to understand the nature of their threat. This task usually involves reverse-engineering the compiled executable and examining how the program interacts with its environment. The analyst may be asked to document the specimen's attack capabilities, understand its propagation characteristics, and define signatures for detecting its presence. A malware analyst is sometimes called a reverse engineer.

Security product companies, in industries such as anti-virus or network intrusion prevention, may hire malware analysts to develop ways of blocking malicious code. Large organizations in non-security industries may also hire full-time malware analysts to help protect their environment from attacks, or to respond to incidents that involve malicious software. Malware analysis skills are also valued by companies that cannot justify hiring full-time people to perform this work, but who wish their security or IT administrators to be able to examine malicious software when the need arises.

• Prototype, design, implement, unit test, product, and maintain Windows-based software applications
• Participate in cross-functional project teams to develop medical device software
• Work with multi-discipline teams on new product introduction project while adhering to software development and source control processes
• Document software, write technical specifications for interfaces and testing

Qualifications

• Bachelors degree in Software Engineering, Computer Science or related field with no less than 6+ years of experience
• Experience designing and developing C++/C# based solutions and experience with any user interface development (UWP / WPF)
• Expert in Unit Testing, OOA/OOD development methodologies, and design principles
• Experience in Agile development processes and philosophies
• History of timely delivery while ensuring a quality focus
• Ability to work well with people and be both highly motivated and motivating
• Ability to work in a fast-paced, and often ambiguous environment where continuous improvement is a way of life
• Ability to work independently and proactively with minimal direction

Nice to Have

• Experience in medical device design & development is a plus
• Experience in IVD instrumentation, such as clinical chemistry, immunoassay, hematology, urinalysis, molecular, microbiology, or flow cytometry systems is a plus
• Understanding of software development processes for a regulated environment (ISO9000/FDA) is a plus
• Experience in software code and build management is a plus