Founding Engineer - Sr/Staff

WithClutch; New Delhi; On-site; INR 6,622,516 - 9,460,738; Full time

Job summary

WithClutch is seeking a Founding Engineer with strong full-stack engineering experience, focusing on AI systems that transform clinical trials. This role involves designing, building, and maintaining AI-powered features, ensuring high quality of AI outputs, and collaborating closely with product teams and users.

The ideal candidate will have genuine depth in AI/ML systems and a product-oriented mindset, thriving in a fast-paced environment. Candidates must be comfortable working with healthcare and life sciences sectors, contributing significantly to patient outcomes and scientific research.

Qualifications

• Ability to build and ship production-ready applications.
• Experience designing and running evaluation sets for AI systems.
• Genuine interest in health and life sciences domains.

Responsibilities

• Design and build AI systems to automate clinical workflows.
• Own the evaluation lifecycle for AI output.
• Collaborate with product teams and customers.

Skills

Full-stack engineering experience

AI/ML systems understanding

Experience with LLMs in production

Strong communication skills

Product-oriented mindset

Tools

LangSmith

Weights & Biases

Job description

Founding Engineer - Sr/Staff

Advance Science & Medicine by Connecting Patients to Life-Saving Therapeutics

Why Double Blind Bio (DBB)?

We Accelerate the Development of Next Generation Medicines

We work directly with Clinical Research Sites, Sponsors, and Clinical Research Organizations (CROs) to embed our technology to accelerate clinical trials.

We move fast

We went from initial idea to product in customer’s hands in three weeks. In our first six months, we onboarded 200 research sites, landed our first pharma design partner and our existing lead investors, SignalFire (Uber, Grammarly, Lime, Ro, Aura) and Define Ventures (hims & hers, Story Health) doubled down on their investment in us.

Work with Life Sciences Experts

The founders, Shruti (CEO) and Dave (CTO), have spent their careers working at the intersection of Life Sciences/Healthcare, Data and AI on both business development and technology.

About Us

Double Blind Bio automates administrative tasks, allowing clinical staff to focus on what matters most: patient care and advancing science. We’re building a future where clinical trials operate more autonomously by connecting sites, sponsors, and their data using AI. Our mission is to accelerate the delivery of cutting‑edge therapeutics from development to market by building intelligent software that streamlines clinical trial operations.

To date, we’ve raised over $7 million in funding from our co‑lead investors, SignalFire and Define Ventures, to accelerate this vision. Currently, we’re used by over 200 clinical research sites and have a handful of sponsor customers.

The Vision

We exist to accelerate scientific development and improve human well‑being by increasing the efficacy of medicines worldwide. Today, bringing a drug to market takes over 10 years and $1-2 billion, with clinical trials consuming the bulk of the time and resources, not drug discovery.

Imagine if you could cut the time and/or cost of running a clinical trial in half. According to the Jevons paradox, as costs drop, demand for running clinical trials would rise, allowing more candidate therapies and more niche treatments to be tested and to reach the market. Clinical trial operations sit at the center of this and are the problem Double Blind Bio is solving for.

About the Role

As an AI‑focused Software Engineer at Double Blind Bio, you will help build and operate intelligent systems that transform how clinical trials run: reducing administrative burden and accelerating the development of life‑saving medicines. This is a high‑impact, product‑first role where your work directly contributes to improving patient outcomes and advancing scientific research. You will be a core contributor on a fast‑moving, early‑stage team, owning AI‑powered features end‑to‑end and helping shape both the product and technical foundation. You are a software generalist who brings genuine depth in AI systems—not just in building them, but in measuring, evaluating, and improving them over time. You have strong instincts around when AI is working, when it isn’t, and how to tell the difference. This role is ideal for engineers who thrive at the intersection of AI, healthcare, and product development, and who are energized by high ownership, rapid iteration, and close collaboration with users.

Responsibilities

• Design, build, and deploy agentic AI systems that power web experiences and automate clinical workflows
• Own the full eval lifecycle—define what "good" looks like for AI outputs, build evaluation datasets, author metrics, and run structured evals to measure model and pipeline quality
• Instrument AI systems for observability—trace LLM calls, monitor output quality, detect regressions, and build tooling that gives the team visibility into how AI is behaving in production
• Develop and maintain RAG pipelines, prompt chains, and AI‑driven features with a systematic approach to improvement
• Architect and optimize full‑stack applications, including frontend, backend, infrastructure, and data pipelines
• Own features end‑to‑end—from ideation and design through deployment, monitoring, and iteration
• Collaborate with product, founders, and customers to understand needs and deliver impactful solutions
• Contribute to engineering processes, architecture, and best practices as an early team member
• Participate in customer conversations to better understand workflows and continuously improve the product

Qualifications

• Strong full‑stack engineering experience, with the ability to build and ship production‑ready applications
• Genuine depth in AI/ML systems—you understand how models behave, how to evaluate outputs rigorously, and how to think about failure modes beyond "the model got it wrong"
• Experience designing and running evals—you've built evaluation sets, defined metrics, and used data to drive decisions about AI system quality
• Strong observability instincts—you know how to instrument pipelines, trace model calls, and build feedback loops that surface problems before users do
• Experience building with LLMs in production (RAG, agents, prompt engineering, fine‑tuning, or similar)
• Product‑oriented mindset with a focus on solving real user problems
• Comfort working across disciplines and learning new domains (e.g., healthcare, life sciences, data systems)
• Ability to work in a fast‑paced, evolving environment with high ownership and autonomy
• Strong communication skills and willingness to collaborate across teams and with customers

Preferred

• Experience with ML evaluation frameworks, LLM observability tooling (e.g., LangSmith, Braintrust, Weights & Biases, Honeyhive, or similar)
• Familiarity with statistical thinking around model evaluation—confidence intervals, human‑in‑the‑loop review, A/B testing of AI outputs
• Experience building agentic workflows or multi‑step AI pipelines
• Familiarity with healthcare, life sciences, or clinical research workflows
• Experience working in early‑stage startups or founding teams
• Deep expertise in at least one area of the stack (frontend, backend, infrastructure, or AI systems)