Key terms: artificial intelligence, research and engineering, large-language-models, speech-to-text, healthcare, startup, electronics health records.
About Mercurie
Simpler and smarter healthcare for everyone.
At Mercurie, we are fundamentally redesigning the digital health infrastructure, leveraging the recent breakthroughs in AI. Our health assistants will provide a one-stop interface to converse about patient health. We aim to create better connections between doctors and patients, leading to healthier, happier outcomes.
In the first stage of our product, we are helping doctors spend less time on typing and more time with patients by turning conversations into crystal-clear, comprehensive, and detailed medical notes that aid in:
reduced follow-up queries and potential misunderstandings.
faster claims processing.
more inclusive care.
education and research.
In the next stage, we plan to build a sophisticated medical record query engine.
Job Description
We are looking for a Senior/Staff AI Engineer to join our early-stage team. In this role, you would be in charge of developing, evaluating and tuning AI services such as speech-to-text, document summarization, graph query engine, and agentic tooling. As an early member, you would have a large influence on the development of our product and the core technology of our platform, and a significant say in the direction our firm takes.
Qualifications
This role would require taking ownership of a significant part of our product. Therefore, experience building and leading enterprise AI projects is essential. 5-10 years of experience would be preferred.
Strong academic record (9+ on scale of 10) in a technical field such as Computer Science, Maths, Physics, or Electrical Engineering from a top-tier institute, such as the IITs.
Technical skills
Experience with training and inference engines for large language, speech-to-text, and text-to-speech models. Examples include HuggingFace Transformers, ONNX, GGML and CTranslate2.
Experience with Retrieval-Augmented Generation, Agentic AI, or the Model Context Protocol.
The ability to build a functional AI (micro-)service from an idea is essential.
Experience with GPU programming.
Experience with graph databases.
(Bonus) Experience working with health records and familiarity with modern AI algorithms on health records.
As an early-stage startup, we will pay attention to
Communication and soft skills: we will work as a close-knit team with professionals from varied backgrounds, and being able to explain your domain knowledge effectively is essential.
Ambition and creative thinking: maintaining rapid growth would require passion towards the product we are building, and contributing to ideas that would keep us at the top of the game.
Flexibility and adaptability: at times, we may have to deviate from our original product plans as we explore product-market-fit further.
Leadership skills: as the venture grows, you may soon start leading a team of engineers.
Compensation
₹25L in cash + ₹25L in equity per year (may vary based on experience and skills).
On joining, four years of equity will be allocated and paid with a four-year vesting schedule.
Application Process
Please attach your CV and write a short 2 paragraph cover letter in the application email describing your interest in this role, and how your experience and skills are a good fit.
We will try to get back to you within 2 weeks if you are shortlisted.
If we receive more applications than we can handle, we may not be able to respond to you if you are not shortlisted, we apologise in advance for this.
On getting shortlisted, expect an introductory call/meeting followed by 3-4 technical rounds.