Full Stack Developer with Big Data Engineer expertise and Agentic AI experience.

About the Opportunity
A fast-scaling technology innovator in the Big Data & Agentic AI space, we architect real-time data platforms that power autonomous decision-making systems for enterprise clients across finance, logistics, and healthcare. Our engineers design full-stack applications fused with distributed data pipelines and intelligent agents—transforming raw data into self-optimizing business workflows using modern cloud-native tooling and GenAI frameworks.

Role & Responsibilities

• Build and maintain scalable full-stack applications (React/Node.js) that ingest, process, and visualize large-scale streaming & batch data.
• Design and operate data infrastructure on AWS/GCP/Azure—including S3, Kafka, Spark, and Delta Lake—to support real-time analytics and AI inference pipelines.
• Develop and deploy agentic AI systems using LangChain, AutoGen, orcrewAI frameworks that autonomously execute multi-step workflows with tool-calling and memory.
• Implement CI/CD pipelines for ML models and data services using GitHub Actions, Airflow, or Prefect to ensure reliability and reproducibility.
• Optimize data pipelines for low-latency ingestion and high-throughput processing, applying partitioning, indexing, and caching strategies.
• Collaborate with data scientists and product teams to translate business logic into modular, observable, and maintainable AI-powered features.

Skills & Qualifications

• Must-Have
• React
• Node.js
• Python
• Apache Spark
• LangChain
• Kafka
• AWS
• Git
• Preferred
• AutoGen
• Delta Lake
• Prefect

Benefits & Culture Highlights

• Work alongside top-tier AI and data engineers in a mission-driven, fast-paced startup environment.
• Access to cutting-edge AI tooling, internal LLM sandbox environments, and dedicated R&D time.
• Competitive compensation, equity, and professional growth paths tailored to your specialty.