AI Engineer
Company Overview
LunarTree is building an AI-native platform that helps teams working on the next generation of medicines make better decisions, faster. Their flagship product, Biolens, is used by some of the biggest companies in the world to reduce busywork and enable teams to focus on impactful work. The company is backed by Pfizer, Amgen, Merck, BCG, and A91 Partners. The team includes former founders, investors, consultants, athletes, and engineers from IIT Bombay, Goldman Sachs, Merkle, and SuperDM. LunarTree’s mission is to eliminate busywork in bringing novel treatments to the world.
Job Summary
The AI Engineer role involves working closely with the founder to rapidly test new approaches, improve product quality, and help prioritize development efforts. This hands-on position requires autonomy, strong judgment, and the ability to turn exploratory ideas into practical product improvements. The engineer will experiment with AI models and workflows to enhance the platform’s capabilities in a real-world pharmaceutical and biotech context.
Responsibilities
- Experiment with different AI models, tools, and approaches to identify the best solutions for LunarTree’s use cases.
- Improve output quality through prompt engineering, testing, evaluation, and implementing guardrails.
- Explore retrieval and knowledge workflows to increase the accuracy and usefulness of AI-generated answers.
- Build and enhance product features related to multi-step workflows, context handling, and tool integration.
- Analyze tradeoffs between quality, speed, and cost to provide practical recommendations.
- Continuously read, experiment, implement, and adapt AI ideas tailored to pharma and biotech environments.
Qualifications
- Strong fundamentals in computer science and systems thinking.
- Ability to self-learn new tools and frameworks independently without detailed instructions.
- Proactive mindset with minimal need for supervision.
- Passion for applied AI work combined with a focus on practical usefulness.
- Scrappy, practical approach with a willingness to iterate until solutions work effectively.
- Educational background suitable for an engineering role (e.g., BTech, BSc in Computer Science or related fields).
Preferred Skills
- Experience working with large language models (LLMs), retrieval systems, or agent-style workflows.
- Strong GitHub projects or published research in AI or machine learning.
- Hands-on experience with prompt engineering or fine-tuning AI models.
- Contributions to open-source AI projects.
- Familiarity with life sciences or eagerness to quickly learn the domain.
Experience
- Fresh graduates or candidates with 1–2 years of relevant experience.
- Emphasis on ability, curiosity, and rapid learning over exact years of experience.
Environment
- The role offers a high degree of autonomy and requires comfort with ambiguity and experimentation.
- Work setting and location are not specified; flexibility implied.
- The position involves iterative development and testing in a fast-paced startup environment.
Salary
- Industry-grade compensation.
- Routine performance-based salary hikes.
- Pre-seed round Employee Stock Option Plans (ESOPs).
- Additional learning and education perks for interns and early-career hires.
Hiring Process
- Application submission.
- One technical exercise focused on AI and systems thinking.
- In-person or virtual interviews with the founders.
