Full Stack Engineer

Cognium; Delaware; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Cognium Consulting is seeking a Senior Full-Stack Engineer to own features end-to-end—from data modeling to API design and polished UI.

You will collaborate with product, design, and our AI team to deliver capabilities across the stack, including AI-powered features and robust production systems. This role emphasizes strong code quality, performance, and secure, scalable architecture.

Qualifications

• 5+ years of professional experience building full-stack web applications in production.
• Strong frontend skills: TypeScript and React, with experience building production-grade UIs.
• Strong backend skills: Python with experience designing and building APIs and services.
• Experience with relational databases (PostgreSQL, MySQL) and writing efficient queries.
• Experience building and consuming REST APIs.
• Experience integrating AI/LLM-powered features into a product via APIs/RAG or vector search.
• Familiarity with cloud infrastructure (Azure/AWS/GCP), CI/CD pipelines, and containerization (Docker).
• Strong understanding of software engineering fundamentals: testing, version control, code review, and system design.

Responsibilities

• Design, build, and ship features across the full stack from database schema to frontend UI.
• Build and maintain RESTful APIs powering the web app and integrations.
• Develop responsive, accessible UIs using modern frontend frameworks.
• Collaborate with product and design to translate requirements into specs and increments.
• Write clean, well-tested, maintainable code and participate in code reviews.
• Improve application performance, reliability, and security across the stack.
• Work with AI engineering to integrate AI-powered features into surfaces.
• Contribute to architecture decisions, tooling, and engineering practices as the team scales.
• Monitor, debug, and resolve production issues, participate in on-call rotations.

Skills

TypeScript

React

Python

APIs

PostgreSQL

MySQL

AI/LLM integration

Cloud & CI/CD

Testing & code review

Version control

Tools

Docker

Terraform

AWS

Azure

GCP

Datadog

Grafana

Sentry

Job description

We’re looking for a Full-Stack Engineer who’s comfortable owning a feature from idea to production: designing the data model, building the API, and shipping a polished UI. You’ll work closely with product, design, and our AI engineering team to bring new capabilities to life across the stack.

Responsibilities:

• Design, build, and ship features across the full stack - from database schema and backend services to frontend UI.
• Build and maintain RESTful APIs that power our web application and integrations.
• Develop responsive, accessible, and performant user interfaces using modern frontend frameworks.
• Collaborate with product and design to turn requirements into technical specs and shippable increments.
• Write clean, well-tested, maintainable code, and participate actively in code review.
• Improve application performance, reliability, and security across the stack.
• Work with our AI engineering team to integrate AI-powered features into user-facing product surfaces.
• Contribute to architecture decisions, tooling, and engineering best practices as the team and product scale.
• Monitor, debug, and resolve production issues, and contribute to on-call rotations as needed.

Requirements:

• 5+ years of professional experience building full-stack web applications in production.
• Strong frontend skills: TypeScript and React, with experience building production-grade UIs.
• Strong backend skills: Python (FastAPI, Django, or similar), with experience designing and building APIs and services.
• Practical experience designing and working with relational databases (PostgreSQL, MySQL) and writing efficient queries.
• Experience building and consuming REST APIs.
• Experience integrating AI/LLM-powered features into a product - calling LLM APIs, working with retrieval-augmented generation (RAG) or vector search, or partnering with ML/AI teams to ship model-backed functionality.
• Familiarity with cloud infrastructure (Azure, AWS, or GCP), CI/CD pipelines, and containerization (Docker).
• Strong understanding of software engineering fundamentals: testing, version control, code review, and system design.
• Proficiency working with AI coding assistants (e. g., Claude Code, GitHub Copilot, Cursor) to accelerate development, while critically reviewing and validating AI-generated code.
• Comfort working in a remote, async-first environment with strong written communication skills.

Nice to Have:

• Familiarity with infrastructure-as-code (Terraform) and observability tooling (Datadog, Grafana, Sentry).
• Familiarity with vector databases or embedding-based search for AI-powered features.
• Background working in a startup or small, cross-functional team.
• Exposure to design systems and component libraries.