Back End Developer

3 days ago


Jaipur, Rajasthan, India Coffeee Full time ₹ 15,00,000 - ₹ 36,00,000 per year

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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