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Back End Developer

Back End Developer

Coffeee.ioChennai, IN
15 hours ago
Job description

About the Role

We are seeking a Backend Developer (AI / ML Integration) who will work at the intersection of backend engineering, data-driven automation, and AI / ML enablement. The ideal candidate will have a strong foundation in backend systems, data structures, and algorithms, along with practical experience integrating machine learning models and AI-driven automation workflows.

You will design scalable backend services, integrate AI models (including LLMs such as GPT-5), develop APIs, and deploy intelligent microservices powering automation, analytics, and enterprise knowledge platforms.

Key Responsibilities

Backend Engineering & API Development

  • Design, develop, and maintain scalable backend services and RESTful APIs.
  • Build microservice-based solutions ensuring performance, reliability, and scalability.
  • Participate in code reviews, debugging, and production performance tuning.

AI / ML & LLM Integration

  • Integrate AI / ML and LLM models (e.g., GPT-5, fine-tuned / custom models) into backend workflows.
  • Develop and deploy ML / NLP models for automation, predictive analytics, and intelligent knowledge retrieval.
  • Customize and optimize AI plugins for automation, analytics, and insights.

    • ML Pipelines & MLOps

  • Build and maintain end-to-end ML pipelines for training, testing, and deployment.
  • Use MLOps tools (MLflow, Kubeflow, DVC) for experiment tracking and model lifecycle management.
  • Work with vector databases (Pinecone, Weaviate, FAISS, Milvus) to build AI-driven search / retrieval systems.

    • Cloud, DevOps & Automation

  • Work with cloud platforms (AWS, Azure, GCP) for deployment and infrastructure management.
  • Implement CI / CD pipelines for automated deployment and monitoring.
  • Use automation / orchestration tools like Airflow or Prefect for workflow automation.
  • Work with containerization & orchestration tools (Docker, Kubernetes).
  • Ensure data security, compliance, and scalability across all deployments.

    • Required Skills & Qualifications

    Core Technical Skills

  • Strong programming expertise in Java and Python .
  • Excellent understanding of data structures, algorithms, and software design principles .
  • Hands-on experience with AI / ML frameworks : TensorFlow, PyTorch, Hugging Face.
  • Proficiency in NLP / LLM integration , including LangChain, RAG, OpenAI APIs, and Anthropic models.
  • Experience with backend frameworks and microservice architectures .

    • Cloud & DevOps

  • Familiarity with AWS cloud infrastructure and Terraform (IaC).
  • Working knowledge of Docker, Kubernetes, and CI / CD workflows.

    • AI Infrastructure

  • Experience with vector databases (Pinecone, Weaviate, FAISS, Milvus).
  • Understanding of MLOps tools such as MLflow, Kubeflow, or DVC.

    • Nice to Have

  • Internship or project experience in AI / LLM integration or backend automation.
  • Experience with API security, authentication, and scalable system architecture.
  • Exposure to RAG frameworks and chatbot tools : Rasa, Dialogflow, Botpress.
  • Contributions to open-source AI / automation projects.
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