Gen AI Python Developer

Quality Ai; India; Remote; INR 1,500,000 - 2,100,000; Full time

Job summary

QualityAI is seeking a Senior Application Developer to build cloud-native backends using Java Spring Boot and/or Node.js. You will work with real-time messaging systems like Kafka/RabbitMQ and containerize with Docker, orchestrate with Kubernetes, and implement CI/CD pipelines.

You will collaborate with data scientists to integrate AI/ML models and GenAI services, deploying scalable, secure solutions across cloud environments (AWS/Azure/GCP).

Qualifications

• 6+ years of backend development experience with Java (Spring Boot) and/or Node.js.
• Strong microservices experience and REST API design.
• Hands-on with Docker and Kubernetes for container orchestration.
• Proficient in CI/CD pipelines and DevOps tooling.
• Experience with asynchronous messaging systems (Kafka, RabbitMQ).
• Knowledge of NoSQL databases and cloud-native deployment patterns.
• Familiarity with cloud services (AWS/Azure/GCP).

Responsibilities

• Architect and implement scalable cloud-native apps using Java (Spring Boot) and/or Node.js.
• Build microservices with robust inter-service communication (REST, gRPC, messaging).
• Develop event-driven apps with Kafka or RabbitMQ.
• Containerize services with Docker; manage with Kubernetes.
• Define and implement CI/CD pipelines and deployment strategies (Jenkins, GitHub Actions, Azure DevOps).
• Integrate cloud-native features (serverless, managed DBs, observability).
• Design data persistence using NoSQL databases (MongoDB, DynamoDB, Cassandra).
• Collaborate with AI/ML teams to expose models via REST or microservices.
• Integrate GenAI platforms (OpenAI, Azure OpenAI, AWS Bedrock).
• Contribute to platform decisions on architecture, security, scalability.

Skills

Java (Spring Boot)

Node.js

Cloud-native design

REST API design

Event-driven architecture

CI/CD

Designing scalable systems

Tools

Docker

Kubernetes

Apache Kafka

RabbitMQ

NoSQL databases

Job description

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Gen AI Python Developer

Date: 1 Nov 2026 Company: QualityAI Country/Region: IN Job Title:Senior Application Developer – Cloud-Native 4/5, AI/ML 4/5 & GenAI Systems 3/5 Location: RemoteJob Type:Full-TimeExperience Level:7+ YearsReports To:Engineering Manager / Director of Software Engineering Overview:We are seeking a Senior Application Developer with a strong foundation in cloud-native application development, combined with experience or exposure to AI/ML and Generative AI (GenAI) technologies. This role is ideal for engineers who are comfortable developing high-performance backends using Java (Spring Boot) and/or Node.js, deploying with modern DevOps practices, and integrating real-time systems using Kafka, RabbitMQ, and NoSQL databases.This position also offers the opportunity to collaborate with data scientists and AI engineers to build, integrate, and scale intelligent systems leveraging AI/ML models and GenAI services.

Key Responsibilities

• Architect and implement scalable, cloud-native applications using Java (Spring Boot) and/or Node.js.
• Build and maintain microservices-based solutions with robust inter-service communication patterns (REST, gRPC, messaging).
• Develop event-driven applications using messaging platforms like Apache Kafka or RabbitMQ.
• Containerize services with Docker, orchestrate and manage using Kubernetes.
• Define and implement CI/CD pipelines and deployment strategies with tools such as Jenkins, GitHub Actions, Azure DevOps.
• Integrate cloud-native features from platforms like AWS, Azure, or GCP, including serverless functions, managed databases, and observability tools.
• Design data persistence strategies using NoSQL technologies such as MongoDB, DynamoDB, or Cassandra.
• Work closely with AI/ML teams to consume, expose, and deploy machine learning models via RESTful APIs or as microservices.
• Integrate with GenAI platforms such as OpenAI, Azure OpenAI, AWS Bedrock, or custom LLMs for intelligent feature development.
• Contribute to platform-level decisions on architecture, security, scalability, and fault tolerance.

Required Skills & Qualifications

• 6+ years of experience in backend development with Java (Spring Boot) and/or Node.js.
• Strong experience in microservices architecture, REST API design, and event-driven design.
• Hands-on experience with Docker and Kubernetes for container orchestration and workload management.
• Practical knowledge of CI/CD pipelines and DevOps automation tooling.
• Deep understanding of asynchronous messaging systems like Apache Kafka, RabbitMQ, or similar.
• Proficiency in working with NoSQL databases and understanding of their strengths and tradeoffs.
• Solid understanding of cloud-native development principles and deployment patterns (e.g., stateless design, scalability, resiliency).
• Familiarity with cloud services on AWS, Azure, or GCP (e.g., Lambda, Fargate, GKE, Azure Functions).

Bonus Skills (Preferred)

• Proficiency in Python for scripting, automation, or API development.
• Experience working alongside or supporting AI/ML model development teams.
• Exposure to machine learning pipelines, model versioning, and serving via TensorFlow Serving, FastAPI, or similar frameworks.
• Familiarity with GenAI tools and frameworks, such as:
• OpenAI APIs (e.g., ChatGPT, GPT-4)
• Hugging Face Transformers
• Azure OpenAI, AWS Bedrock, Vertex AI
• LangChain, LlamaIndex, RAG-based architectures
• Experience integrating LLM-based features such as chatbots, summarization, classification, or auto-recommendation engines.
• Knowledge of data engineering concepts such as feature pipelines, vector databases (e.g., Pinecone, FAISS), and embeddings.
• Cloud certifications (AWS, Azure, or GCP) and/or Kubernetes certification.

Why Join Us?

• Work at the intersection of cutting-edge software engineering and AI-driven innovation.
• Contribute to the design of platforms that combine microservices architecture with intelligent automation.
• Collaborate in a highly skilled and motivated team with a culture of continuous learning.
• Competitive compensation, flexible remote work options, and opportunities for career growth.