Senior Application Developer-Python+GenAI

Senior Application Developer – Cloud-Native, AI/ML & GenAI Systems

Skill Focus: Cloud-Native Development (4/5) | AI/ML Integration (4/5) | GenAI Systems (3/5)

Role Overview

We are seeking a Senior Application Developer with strong expertise in cloud-native backend development and hands-on experience integrating modern AI/ML and Generative AI (GenAI) technologies. This role is ideal for engineers who excel at building scalable, high-performance backend systems using Java (Spring Boot) and/or Node.js, applying DevOps best practices, and developing event-driven, real-time applications.

The position offers the opportunity to collaborate closely with data scientists and AI engineers to design, integrate, and scale intelligent, AI-powered platforms.

Key Responsibilities

• Design, architect, and develop scalable cloud-native applications using Java (Spring Boot) and/or Node.js.

• Build and maintain microservices-based architectures with robust inter-service communication using REST, gRPC, and messaging patterns.

• Develop event-driven systems leveraging messaging platforms such as Apache Kafka or RabbitMQ.

• Containerize applications using Docker and manage deployments with Kubernetes.

• Define and implement CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps.

• Leverage cloud-native services from AWS, Azure, or GCP, including serverless functions, managed databases, and observability solutions.

• Design and implement data persistence strategies using NoSQL databases such as MongoDB, DynamoDB, or Cassandra.

• Collaborate with AI/ML teams to integrate machine learning models as REST APIs or microservices.

• Integrate GenAI platforms including OpenAI, Azure OpenAI, AWS Bedrock, Vertex AI, or custom LLM solutions to enable intelligent features.

• Contribute to architectural decisions related to scalability, security, resilience, and fault tolerance.

Required Skills & Qualifications

• 6+ years of backend development experience using Java (Spring Boot) and/or Node.js.

• Strong expertise in microservices architecture, RESTful API design, and event-driven systems.

• Hands-on experience with Docker and Kubernetes for container orchestration.

• Solid experience implementing CI/CD pipelines and DevOps automation.

• Deep understanding of asynchronous messaging systems such as Apache Kafka or RabbitMQ.

• Proficiency with NoSQL databases and an understanding of their performance and consistency tradeoffs.

• Strong grasp of cloud-native design principles including stateless services, scalability, and resiliency.

• Experience working with cloud platforms such as AWS, Azure, or GCP (e.g., Lambda, Fargate, GKE, Azure Functions).

Preferred / Bonus Skills

• Proficiency in Python for scripting, automation, or API development.

• Experience collaborating with AI/ML teams or supporting model deployment workflows.

• Exposure to ML pipelines, model serving, and versioning using tools such as TensorFlow Serving, FastAPI, or similar.

• Familiarity with GenAI frameworks and platforms, including:

  • OpenAI APIs (e.g., GPT-4, ChatGPT)

  • Hugging Face Transformers

  • Azure OpenAI, AWS Bedrock, Vertex AI

  • LangChain, LlamaIndex, and Retrieval-Augmented Generation (RAG) architectures

• Experience building LLM-powered features such as chatbots, summarization, classification, or recommendation engines.

• Knowledge of data engineering concepts including feature pipelines, embeddings, and vector databases (e.g., Pinecone, FAISS).

• Relevant cloud (AWS/Azure/GCP) and/or Kubernetes certifications.

Why Join Us

• Work at the intersection of modern cloud engineering and AI-driven innovation.

• Build platforms that combine microservices architecture with intelligent automation and GenAI capabilities.

• Collaborate with a highly skilled, forward-thinking engineering and AI team.

• Enjoy competitive compensation, flexible remote work, and strong career growth opportunities.