Full Stack AI Engineer

Experience: 2–4 years

Location: Noida, Hybrid ,India

Company Description

Zenon is a boutique firm focused on financial services, healthcare, and private equity. We are deeply experienced in these industries, and provide analytics, data, and intelligent solutions to our clients.

Our team includes some of the world's most accomplished data scientists along with solutions architects, industry experts, and execution teams who know how to bring AI and machine learning into front line decision-making and ongoing operations.

Job Overview

We are seeking a versatile Full Stack AI Engineer to join our team. The role focuses on building scalable, high-performance applications, with strong expertise in frontend (UI), backend (Python or Java), and quality engineering, along with exposure to AI/ML capabilities.

Full Stack Development & Integration

Frontend & Backend

•Frontend Development: Build responsive and high-performance frontend applications using React / Angular.

•Backend Development: Build and maintain backend services using Python or Java (Spring Boot / Microservices).

•API Design: Design and consume RESTful APIs.

•Architecture: Ensure scalability, performance, and clean architecture across the stack.

Cloud & DevOps

•Cloud Deployment: Deploy and manage applications on AWS / Azure / GCP.

•DevOps / MLOps: Work with Docker, CI/CD pipelines, and Git to support smooth release cycles and production stability.

AI / ML Exposure

•AI Integration: Integrate AI/ML or GenAI features into applications where required.

•LLM APIs: Work with APIs like OpenAI / LLM-based services to power intelligent application features.

Quality Engineering & Testing

•Test Automation: Write and maintain unit, integration, and automation tests using JUnit, Selenium, Cypress, or TestNG.

•Code Quality: Ensure high code coverage, participate in code reviews, and uphold QA best practices across the codebase.

Required Skills and Qualifications

Core Technical Experience

•Experience: 2+ years of professional experience in a software engineering role.

•Backend: Strong experience in Python or Java (Spring Boot / Microservices).

•Frontend: Hands-on experience with React / Angular.

•APIs & Design: Solid understanding of REST APIs and system design.

•Testing: Experience with QA/testing frameworks and automation tools.

QA / Testing Skills

•Automation Tools: Experience with Selenium / Cypress / TestNG or similar tools.

•Test Strategy: Understanding of test strategies and QA best practices.

Infrastructure & Tools

•Cloud: Experience with AWS / Azure / GCP.

•DevOps: Knowledge of Docker and CI/CD pipelines.

•Tools: Familiarity with Git and Agile methodologies.

AI Tools

•Core LLM & Coding Assistants: Claude, GPT-4o / Codex, Gemini, GitHub Copilot; prompt engineering and model evaluation.

•RAG & Vector Databases: Pinecone, Chroma, pgvector; embedding, hybrid search, and retrieval pipeline design.

•LangChain / LangGraph: Chains, agents, memory, tool use, and graph-based multi-step workflows.

•Agent Orchestration: Multi-agent systems using CrewAI and N8N; task decomposition and human-in-the-loop patterns.

Soft Skills

•Strong problem-solving skills.

•Good communication and collaboration.

•Ownership mindset and attention to detail