Remote AI Fullstack Dev Pharma; React, Vue, .NET

AI Fullstack Developer role

Location:

Remote
Must have Pharma/Lifesciences Domain exp.

Job Desc:

Requirement is for a Mid-Level Full Stack Developer. Must be a 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.

Are you interested in
Taking a business problem and framing it as a math problem
Utilizing advanced quantitative techniques, and brainstorming with domain experts, to find the optimal solution to this problem
Writing sophisticated and elegant code to implement the solution
Collaborating with and communicating your teams work to clients from leading pharmaceutical companies around the world
Contributing to the advancement of healthcare provided to millions of patients

Candidates interested in joining as a Full Stack Software Engineer must have:

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, Advance Prompt Engineering and GraphRAG

Knowledge of SQL or no-SQL databases (or be willing to learn)

Direct experience in building tools or models that help customers make better decisions using data and structured methodologies

Strong analytical abilities. You 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 for structure and details

Interest in life sciences / healthcare

Bachelors degree in Computer Science, Mathematics, Statistics, Physics, relevant technical field, or equivalent practical experience