AI Harness Engineer

Tilda Research Inc.

India

Remote

INR 3,000,000 - 6,000,000

Full time

14 days+

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Job summary

Tilda Research, Inc. is hiring an AI Harness Engineer for a remote role, focusing on building secure AI infrastructure and production-grade AI agents. You will own architecture, deployment, and integrations from concept to production.

You will collaborate with AI researchers and cross-functional teams to ensure scalable, observable systems and high security in cloud-based environments.

Qualifications

  • 5+ years of backend software engineering experience.
  • Experience building AI Harnesses is required.
  • Experience with Harness & AI Security is required.
  • Excellent Python development experience.
  • Experience building backend services and microservice architectures.
  • Experience working with AWS cloud services.
  • Experience designing APIs and distributed systems.
  • Hands-on experience building AI applications, AI agents, or agentic workflows.
  • Experience working with Agent SDKs.
  • Familiarity with Model Context Protocol (MCP).
  • Experience building developer tools, APIs, or CLI applications.
  • Strong understanding of software architecture and production engineering.
  • Comfortable working in startup environments with significant ownership.
  • Ability to independently drive projects from concept through production.

Responsibilities

  • Design and build secure AI infrastructure for production AI agents.
  • Develop Agent Control Plane capabilities that manage, monitor, and secure agent execution.
  • Build embedded controls and security mechanisms directly into AI agents.
  • Develop reusable services, APIs, and developer tooling that support AI applications.
  • Build and maintain integrations with modern Agent SDKs and MCP.
  • Design backend microservices using Python and AWS.
  • Build observability into AI systems, including telemetry, monitoring, tracing, and operational visibility.
  • Develop public-facing developer tools and CLI applications.
  • Partner closely with AI researchers to transition prototypes into production-ready systems.
  • Own projects from architecture through deployment.
  • Help define engineering standards and reusable patterns across the AI platform.
  • Collaborate with Product, Sales, and Executives; mentor senior engineers as needed.

Skills

Python
Backend development
AWS
APIs
Microservices
Agent SDKs
Model Context Protocol
CLI tools
AI security
Kubernetes

Tools

Harness
Kubernetes

Job description

About Tilda
About Tilda Research, Inc.

Tilda Research is reimagining how clinical trials are run by bringing AI-native tools and AI teammates into clinical research operations. Our technology works alongside sponsor, CRO, and research teams to simplify study management, improve data quality, support real-time oversight, and help accelerate trial timelines.

We are building the future of clinical trial execution: one where research teams can spend less time on administrative bottlenecks and more time focused on patients, sites, and the work that moves new treatments forward. Tilda’s mission is rooted in the belief that clinical research should be faster, more efficient, more scalable, and more accessible — without losing the human judgment and care that patients and research teams deserve.

At Tilda, we are a team of builders, operators, researchers, and problem-solvers working at the intersection of healthcare, technology, and AI. We move quickly, think deeply, and care about building products and systems that create meaningful impact in the clinical research industry.

AI Harness Engineer- Remote
What You'll Do
  • Design and build secure AI infrastructure for production AI agents.
  • Develop Agent Control Plane capabilities that manage, monitor, and secure agent execution.
  • Build embedded controls and security mechanisms directly into AI agents.
  • Develop reusable services, APIs, and developer tooling that support AI applications.
  • Build and maintain integrations with modern Agent SDKs and Model Context Protocol (MCP).
  • Design backend microservices using Python and AWS.
  • Build observability into AI systems, including telemetry, monitoring, tracing, and operational visibility.
  • Develop public-facing developer tools and command-line interfaces (CLI).
  • Partner closely with AI researchers to rapidly transition prototypes into production-ready systems.
  • Own projects from architecture through deployment.
  • Help define engineering standards and reusable patterns across the AI platform.
  • Collaborate with stakeholders across the board in our Product, Sales, and Executive teams. Along with collaborate with senior engineers while independently leading technical initiatives when appropriate
What We're Looking For
  • 5+ years of backend software engineering experience.
  • Experience building AI Harnesses is required
  • Experience with Harness & AI Security is required
  • Excellent Python development experience.
  • Experience building backend services and microservice architectures.
  • Experience working with AWS cloud services.
  • Experience designing APIs and distributed systems.
  • Hands-on experience building AI applications, AI agents, or agentic workflows.
  • Experience working with Agent SDKs.
  • Familiarity with Model Context Protocol (MCP).
  • Experience building developer tools, APIs, or CLI applications.
  • Strong understanding of software architecture and production engineering.
  • Comfortable working in startup environments with significant ownership.
  • Ability to independently drive projects from concept through production.
Preferred Qualifications
  • Experience building Agent Control Planes.
  • Experience implementing embedded controls or policy enforcement within AI agents.
  • Experience building AI observability platforms.
  • Security engineering background.
  • Infrastructure engineering background.
  • Experience building secure AI systems.
  • Experience working with LLMs in production environments.
  • Experience with Kubernetes and containerized services.
  • Experience integrating AI systems with cloud infrastructure.
  • Familiarity with AI governance, guardrails, and runtime security.
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