Gen AI Python Developer

QualityAI; Kolkata; Teletrabalho; INR 1 800 000 - 3 000 000; Tempo integral

Resumo da oferta

QualityAI is seeking a Senior Application Developer for remote work, focusing on cloud-native back-end systems. The role requires 7+ years of backend experience with Java or Node.js, plus hands-on Docker and Kubernetes for microservices.

You will build scalable services, integrate Kafka-based messaging, and collaborate with AI/GenAI teams to deploy models. Candidates should be proficient with REST APIs, CI/CD pipelines, and cloud platforms (AWS/Azure/GCP).

Qualificações

• 7+ years in backend development with Java and/or Node.js.
• Experience with microservices, REST, and event-driven patterns.
• Hands-on Docker and Kubernetes for orchestration.
• CI/CD automation and DevOps practices.
• Experience with Kafka, RabbitMQ, or similar messaging.

Responsabilidades

• Architect scalable cloud-native apps using Java Spring Boot or Node.js.
• Build microservices with REST/grpc/messaging.
• Develop event-driven apps with Kafka or RabbitMQ.
• Containerize with Docker; manage with Kubernetes.
• Define CI/CD pipelines and deployment strategies (Jenkins, GitHub Actions, Azure DevOps).
• Integrate cloud services (AWS/Azure/GCP) and observability.
• Design data persistence with NoSQL databases.
• Collaborate with AI/ML teams to deploy models.
• Integrate GenAI platforms (OpenAI, Azure OpenAI, AWS Bedrock).
• Contribute to architecture, security, scalability decisions.

Conhecimentos

Java Spring Boot

Node.js

Microservices

Docker

Kubernetes

CI/CD

Kafka

NoSQL

Cloud AWS

REST API

Ferramentas

Jenkins

GitHub Actions

Azure DevOps

GKE

Descrição da oferta de emprego

Job Title:Senior Application Developer – Cloud-Native 4/5, AI/ML 4/5 & GenAI Systems 3/5Location: RemoteJob Type:Full-TimeExperience Level:7+ YearsReports To:Engineering Manager / Director of Software EngineeringOverview: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.