Full Stack Generative AI Engineer

Jobgether; United States; On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Generative AI experience

Cross‑functional teamwork

Fast‑paced environment

Job summary

Jobgether partners with a US‑based company to hire a Full Stack Generative AI Engineer. You will craft modern digital apps powered by Generative AI, analytics, and diverse data sources across frontend, backend, and AI layers.

You will translate complex requirements for research, knowledge discovery, information retrieval, and data‑driven decisions, collaborating with engineers, data scientists, product teams, and business stakeholders in a fast‑moving environment.

Qualifications

• 3–6 years of professional experience in software engineering or full‑stack development.
• Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline.
• Strong hands‑on experience with modern JavaScript and TypeScript, including React; Next.js is strongly preferred.
• Strong proficiency in Python and experience developing backend services and APIs; FastAPI helpful.
• Experience working with SQL databases, preferably Microsoft SQL Server.
• Experience deploying AI‑enabled applications and integrating LLM APIs.

Responsibilities

• Design, develop, test, deploy, maintain, and enhance full‑stack applications across the frontend, backend, database, and AI layers.
• Build modern, responsive user interfaces using React, Next.js, TypeScript, and JavaScript.
• Develop scalable backend services and APIs using Python and FastAPI.
• Design, query, and integrate data using Microsoft SQL Server and other relevant data sources.
• Integrate Generative AI and LLM capabilities into enterprise applications and workflows.
• Develop AI‑enabled solutions for information retrieval, summarization, knowledge discovery, question answering, and decision support.
• Build applications capable of working with scientific literature, real‑world evidence, and structured and unstructured information.
• Apply prompt engineering, RAG, embeddings, vector search, and LLM APIs where appropriate.
• Collaborate with data scientists, AI professionals, product teams, business partners, and other stakeholders to translate requirements into scalable solutions.
• Evaluate emerging AI technologies and development practices and recommend approaches that improve application capabilities.
• Write clean, maintainable, well‑tested code while contributing to sound engineering standards and practices.
• Assess the quality, accuracy, and reliability of AI‑generated outputs and help improve performance.

Skills

React

Next.js

TypeScript

JavaScript

Python

FastAPI

SQL Server

Generative AI

API integration

LLMs

Education

Bachelor’s degree in CS/Software Eng

Master’s degree in CS/AI (plus)

Tools

Next.js

FastAPI

SQL Server

React

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Full Stack Generative AI Engineer based in the United States.

This role offers the opportunity to build modern digital applications powered by Generative AI, advanced analytics, and diverse data sources.

You will work across the full technology stack, from responsive user interfaces to scalable backend services and databases.

The position combines strong software engineering fundamentals with practical applications of LLMs and AI-enabled technologies.

You will help develop solutions that support research, knowledge discovery, information retrieval, and data-driven decision‑making.

Working closely with technical, scientific, product, and business stakeholders, you will translate complex requirements into practical applications.

The environment is innovative and fast-moving, with opportunities to evaluate emerging AI technologies and modern development approaches.

This is an ideal opportunity for an engineer who enjoys building production-ready software while exploring the rapidly evolving capabilities of Generative AI.

Accountabilities

• Design, develop, test, deploy, maintain, and enhance full-stack applications across the frontend, backend, database, and AI layers.


• Build modern, responsive user interfaces using React, Next.js, TypeScript, and JavaScript.


• Develop scalable backend services and APIs using Python and FastAPI.


• Design, query, and integrate data using Microsoft SQL Server and other relevant data sources.


• Integrate Generative AI and Large Language Model capabilities into enterprise applications and workflows.


• Develop AI-enabled solutions for information retrieval, summarization, knowledge discovery, question answering, and decision support.


• Build applications capable of working with scientific literature, real‑world evidence, and structured and unstructured information.


• Apply approaches such as prompt engineering, RAG, embeddings, vector search, and LLM APIs where appropriate.


• Collaborate with data scientists, AI professionals, product teams, business partners, and other stakeholders to translate requirements into scalable solutions.


• Evaluate emerging AI technologies and development practices and recommend approaches that improve application capabilities.


• Write clean, maintainable, well‑tested code while contributing to sound engineering standards and practices.


• Assess the quality, accuracy, and reliability of AI-generated outputs and help improve application performance and usability.

Requirements

• 3–6 years of professional experience in software engineering or full‑stack development.


• Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline.


• Strong hands‑on experience with modern JavaScript and TypeScript, including React; experience with Next.js is strongly preferred.


• Strong proficiency in Python and experience developing backend services and APIs; FastAPI experience is highly desirable.


• Experience working with SQL databases, preferably Microsoft SQL Server.


• Demonstrated ability to develop and integrate applications across both frontend and backend technologies.


• Experience working with APIs and integrating external data sources or services.


• Practical exposure to Generative AI, Large Language Models, or AI‑powered application development.


• Experience with LLM APIs, AI‑powered search, question‑answering systems, automated summarization, document analysis, prompt engineering, RAG, embeddings, vector databases, or knowledge bases is highly valued.


• Strong analytical, problem‑solving, and debugging skills, with the ability to approach complex technical challenges methodically.


• Strong written and verbal communication skills and the ability to collaborate effectively with technical and non‑technical stakeholders.


• Adaptability and curiosity, with the ability to learn new technologies and work effectively in a rapidly evolving environment.


• Experience developing production AI‑enabled web applications from concept through deployment is particularly advantageous.


• Experience with cloud‑based application development and exposure to healthcare, pharmaceuticals, life sciences, scientific data, clinical information, or other regulated environments is preferred but not required.


• A Master’s degree in Computer Science, Software Engineering, Data Science, AI, or a related field is a plus.

Benefits

• Opportunity to work on innovative applications combining full‑stack engineering with Generative AI and LLM technologies.


• Exposure to real‑world applications involving scientific literature, real‑world evidence, advanced analytics, and knowledge discovery.


• Opportunity to collaborate with multidisciplinary teams spanning software engineering, AI, data science, product, business, and scientific functions.


• Hands‑on experience with modern technologies including Next.js, React, TypeScript, Python, FastAPI, Microsoft SQL Server, and Generative AI.


• Opportunity to explore emerging AI development approaches, including RAG, embeddings, vector search, and AI‑powered applications.


• Potential to contribute to meaningful digital solutions within a complex healthcare and pharmaceutical environment.


• Fast‑paced environment that encourages technical growth, innovation, adaptability, and continuous learning.


• Compensation and additional benefits are not specified in the provided job description.

How Jobgether Works

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!

Data Privacy Notice

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.