Full Stack Developer

Job Description

Job Description

Position: Senior Full-Stack Engineer

About the Role

We’re looking for a versatile full-stack engineer who can design, build, and scale modern applications end-to-end. This isn’t a slow-moving enterprise environment — we value fast learning, short feedback loops, and the ability to move from idea to prototype to production quickly.

The right person is hands-on, adaptable, and eager to experiment with emerging technologies like AI/LLM integrations as we expand our product capabilities.

What You’ll Do

• Develop and refine applications across the entire stack — from user interface through backend services to cloud infrastructure.
• Own the process of building and maintaining APIs, services, and cloud-native solutions hosted on AWS.
• Partner with product, architecture, and DevOps teams to align technical solutions with business goals.
• Collaborate with operations engineers to ensure smooth deployment, scalability, and high system reliability.
• Lead by example in fostering an iterative, Agile engineering culture.
• Provide coaching and technical guidance to less experienced developers.

What We’re Looking For

• 5+ years of experience working as a full-stack developer.
• Proficiency with front-end frameworks such as React or Angular , with strong skills in JavaScript/TypeScript .
• Solid back-end expertise with .NET , Python , and database technologies including PostgreSQL , MongoDB , and RDS .
• Strong working knowledge of AWS services (e.g., EC2, Lambda, RDS, S3).
• Familiarity with software design principles focused on scalability, performance, and maintainability.
• Experience working in Agile environments with CI/CD pipelines.

Preferred Experience (Not Required)

• Exposure to AI and LLM-based systems, including frameworks like LangChain and LangSmith , vector databases ( Pinecone, FAISS, Weaviate ), or integrations via AWS Bedrock/OpenRouter .
• Understanding of GIS concepts or prior work with geospatial data.
• A strong curiosity for applying AI to real-world applications such as chat systems, recommendation engines, or retrieval-augmented generation.
• Prior experience mentoring peers or leading small development teams.