Overview
Skills
Job Details
Job Description: Full Stack Developer (GenAI Focus)
We are seeking a highly skilled Full Stack Developer with expertise in Generative AI (GenAI) to join our dynamic technology team. The ideal candidate will bring strong programming skills, deep exposure to AI/ML frameworks, and experience deploying scalable applications in cloud environments. This role offers the opportunity to work on cutting-edge Generative AI solutions while contributing to full stack development across various platforms.
Responsibilities
Design, develop, and deploy full stack applications with integrated GenAI capabilities.
Build, fine-tune, and integrate Large Language Models (LLMs) such as ChatGPT, Claude AI, Google Gemini, Bolt, and Vercel s V0.
Implement and optimize back-end, front-end, and API services using modern frameworks and ORM tools.
Work with n8n and other agentic tools to design and orchestrate intelligent workflows.
Ensure code quality using Husky, ESLint, Prettier, and industry best practices.
Develop applications on cloud infrastructure (AWS) ensuring scalability, performance, and security.
Manage and query relational and non-relational databases (MySQL, PostgreSQL, MongoDB) and create meaningful business insights with Power BI.
Collaborate across AI/ML, software engineering, and product teams to deliver high-performing products.
Utilize modern project management and tracking tools such as Git and JIRA to ensure seamless workflow.
Required Technical Skills
Programming Languages: Python, Java, JavaScript, TypeScript, SQL, C/C++, C#.
Frameworks & Tools: TensorFlow, PyTorch, MATLAB, Excel, Git, JIRA.
Databases: MySQL, PostgreSQL, MongoDB, Power BI.
ORMs: TypeORM, Mongoose (Aggregation Framework).
AI/LLMs Exposure: Proficiency in ChatGPT (3.5 Turbo, 4.0, 4.0 Mini), Claude AI, Google Gemini (1.0 & 2.0), Bolt, and V0.
AI Agent Tools: Experience with automation/orchestration platforms like n8n.
Cloud Deployment: AWS (EC2, Lambda, S3, Containerization preferred).
Code Quality Tools: Husky, ESLint, Prettier.
Qualifications
Bachelor s or Master s degree in Computer Science, Software Engineering, AI/ML, or related field.
Proven track record in full stack development and AI/ML integration.
Familiarity with deployment pipelines, CI/CD workflows, and modern dev practices.
Strong problem-solving and communication skills.
Work Authorization
Candidates must be onsite in the United States with valid work authorization (ship or valid work permit). Remote opportunities are not available for this role.