TELECOMMUTE Full-Stack Engineer

We are looking for a Senior Full-Stack Software Engineer to join our growing engineering team. In this role, you will bridge the gap between traditional full-stack development and cutting-edge AI integration. You will implement scalable solutions, build autonomous agents, and integrate Large Language Models (LLMs) directly into our production workflows. You will move fluently between the front end, back end, cloud infrastructure, and AI layers, ensuring our product is robust and secure.

Key Responsibilities

Design, develop and maintain scalable web applications with full-stack ownership.

Develop responsive web applications using React, Next.js and other modern technologies.

Build and manage back-end API s on Node.js and Python FastAPI frameworks.

Provision, manage, and optimize cloud infrastructure on AWS or Azure. You will own the architecture for the services you build.

Maintain and improve CI/CD pipelines to ensure smooth, reliable deployments. Automate repetitive tasks and ensure "infrastructure as code" principles are upheld.

Design and implement robust interfaces with LLM s (OpenAI, Anthropic, Gemini, or open-source models) and other ML models.

Work closely with product management and other engineers to deliver to define feature requirements and deliver high-quality products.

4+ years of professional software engineering experience in full-stack customer-facing applications with React/Next.js/Tanstack using Javascript/Typescript.

Hands-on experience with AWS (EC2, Kubernetes, Lambda, S3, RDS) and/or Azure (App Service, ACA, Functions, Blob Storage, SQL Database).

Strong server-side development skills in Python (FastAPI) and the Node.js (Express or equivalent) ecosystem.

Expertise in building secure, scalable REST and GraphQL API s.

Proven experience with relational and NoSQL databases (PostgreSQL, DynamoDB etc.)

Familiarity with software development lifecycle tools such as Github/Bitbucket, Jira and Confluence.

Experience in building applications that consume LLM APIs. Familiarity with prompt engineering techniques (Chain-of-Thought, ReAct, RAG etc.) and context window management.

Preferred Qualifications

Experience building and maintaining CI/CD pipelines (GitHub Actions, Bitbucket Pipelines etc.).

Prior experience in healthcare domain and in handling PHI data.

Familiarity with Infrastructure as Code tools such as Terraform, Pulumi, AWS CDK etc., Startup Mindset: Quick learner with a bias for action, ownership mentality and ability to favor pragmatism over perfection.