AI Fullstack Developer role
Location: Remote
Must have Pharma/Lifesciences Domain exp.
Job Description
Requirement is for a Mid-Level Full Stack Developer. Must be an individual contributor.
Mandatory Technical Skills
- React, Vue.js, C#, SQL, and JavaScript (any modern JavaScript framework).
- Strong hands‑on Full Stack Development experience is required.
- Candidate should have AI exposure.
- Experience with Cursor AI and Claude AI is highly preferred.
- Hands‑on experience with RAG (Retrieval‑Augmented Generation) and Enterprise AI Agents is required.
Preferred experience: 46 years. However, candidates with up to 12 years of overall experience will also be considered.
Interview Process
- Round 1: 30‑minute Microsoft Teams interview. However, local NYC candidates who are available for an in‑person (Face‑to‑Face) interview are highly preferred.
- Round 2: Technical Coding Interview/Assessment.
Responsibilities
- Take a business problem and frame it as a math problem.
- Utilize advanced quantitative techniques, and brainstorm with domain experts, to find the optimal solution to this problem.
- Write sophisticated and elegant code to implement the solution.
- Collaborate with and communicate your team’s work to clients from leading pharmaceutical companies around the world.
- Contribute to the advancement of healthcare provided to millions of patients.
Candidate Profile
- Up to 4 years of experience in full stack web application development.
- Experience in one or more programming languages (JavaScript, C#, .Net, Java, or C / C++).
- Experience with AI based coding tools (Cursor, Claude Code, etc.) and AI techniques like Retrieval Augmented Generation (RAG), AI Agents, fine‑tuning, advanced Prompt Engineering and GraphRAG.
- Knowledge of SQL or no‑SQL databases (or willingness to learn).
- Direct experience in building tools or models that help customers make better decisions using data and structured methodologies.
- Strong analytical abilities. Enjoy absorbing large amounts of data, learning new programming languages, or building quantitative insights based on an understanding of complex systems.
- Intellectual curiosity, discipline and attention to structure and details.
- Interest in life sciences / healthcare.
- Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, relevant technical field, or equivalent practical experience.