Job Description: Full Stack AI Engineer (Python & React)

Role Title: Full Stack AI Engineer

Band / Level: 5 10 years

Location: Gurugram

Employment Type: Full-time

Role Overview

We are looking for a hands-on Full Stack AI Engineer to design, build, and deploy production-grade, AI-powered applications. In this role, you will bridge modern web interfaces with scalable Python backends and agentic workflows, taking features from concept to production on AWS cloud infrastructure.

Key Responsibilities

- Frontend Architecture: Develop responsive, type-secure user interfaces and conversational dashboards using React and TypeScript.
- Backend & API Development: Design and implement robust backend services, microservices, and REST/GraphQL APIs in Python, ensuring thorough test automation (unit, integration, and end-to-end).
- AI Orchestration & Agent Workflows: Build multi-agent architectures, LLM orchestration layers, and evaluation pipelines using LangChain, LangGraph, and MLflow.
- Cloud & Infrastructure as Code: Provision, deploy, and manage scalable cloud resources on AWS using AWS CDK and containerize applications with Docker.
- Data Management: Model relational schemas, write high-performance SQL queries, and manage data persistence using PostgreSQL; integrate analytics workflows with Databricks.
- Quality & Collaboration: Partner closely with data scientists, product managers, and cloud engineers to take prototypes to resilient, enterprise-ready deployments.





Required Qualifications & Experience

- Experience: 5-10years of relevant full-stack software development experience.
- Frontend: Strong proficiency in React, TypeScript, state management, and modern CSS/UI libraries.
- Backend: Advanced Python programming skills with a strong discipline around writing testable code (e.g., pytest, unittest, mocks).
- AI Stack: Practical experience building LLM-driven applications using LangChain and multi-agent coordination using LangGraph; experiment tracking and model registry workflows with MLflow.
- Databases: Solid understanding of relational database design, query optimization, and schema migrations with PostgreSQL.
- Cloud & DevOps: Hands-on experience writing Infrastructure as Code (IaC) via AWS CDK, along with containerization and image creation using Docker.
- Data Platforms: Practical exposure to data workflows and lakehouse environments in Databricks.

Preferred / Nice-to-Have

- Experience setting up automated CI/CD pipelines via GitHub Actions.
- Familiarity with AgentCore frameworks or custom autonomous agent design patterns.
- Experience handling asynchronous event-driven architectures (e.g., SQS, Kafka, Celery).

Competencies & Attributes

- Strong analytical and problem-solving abilities.
- Focus on clean code, documentation, and automated testing.
- Collaborative mindset with strong communication skills across cross-functional engineering teams.

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