Description

Requirements

5 or more years of experience in full-stack software development and cloud-native engineering.

Proficiency in Python programming and modern front-end frameworks including React and TypeScript.

Experience with developing generative AI systems utilizing LLMs, RAG architectures, and LangChain.

Experience in architecting scalable microservices, RESTful APIs, and event-driven enterprise systems.

Experience with provisioning AWS cloud applications and orchestrating Docker containers via Kubernetes.

Experience in implementing continuous integration pipelines utilizing robust Infrastructure-as-Code methodologies.

Excellent verbal and written communication skills to translate complex business needs into technical solutions.

Responsibilities

Architect and deploy production-grade full-stack enterprise applications integrating generative AI workflows.

Build and maintain scalable backend microservices and highly efficient event-driven system APIs.

Design intelligent agentic AI frameworks to automate complex planning, reasoning, and orchestration tasks.

Engineer robust data pipelines to transform structured and unstructured payloads from diverse database sources.

Provision scalable AWS cloud architectures utilizing modern DevOps and Infrastructure-as-Code practices.

Automate comprehensive CI/CD deployment pipelines to accelerate highly secure continuous software releases.

Collaborate across federated cross-functional teams to integrate AI capabilities into overarching enterprise platforms

Key Skills

Education

Bachelor's degree