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Principal Backend Developer

icon building Company : Weekday Ai
icon briefcase Job Type : Full Time

Number of Applicants

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Job Description - Principal Backend Developer

This role is for one of the Weekday's clients

Salary range: Rs 4500000 - Rs 8500000 (ie INR 45-85 LPA)

Min Experience: 6 years

Location: Bangalore

JobType: full-time

As a Principal Backend Developer, you will design, build, and optimize high-performance backend systems that power large-scale, distributed AI platforms. You will work closely with machine learning engineers, platform teams, and infrastructure groups to deploy AI-driven services, scale intelligent workflows, and efficiently serve models across diverse environments. This role is central to building robust, interoperable, and adaptive AI systems at scale.

Core Responsibilities

  • Design, develop, and maintain backend services, microservices, and APIs using Golang
  • Architect and operate distributed systems supporting high-throughput AI and data workloads
  • Partner with ML engineers to integrate trained models into scalable, production-grade environments
  • Build and manage real-time and batch inference pipelines for AI-powered applications
  • Contribute to DevOps and MLOps workflows, including CI/CD automation, monitoring, observability, and autoscaling
  • Ensure system reliability, performance, availability, and security across deployments
  • Optimize internal tooling, model-serving infrastructure, and overall system efficiency
  • Provide technical leadership through design reviews, architectural decisions, and best practices

Skills and Qualifications

  • Strong hands-on experience building production systems using Golang
  • Deep understanding of distributed systems, concurrency, and network programming
  • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or JAX
  • Experience with model-serving platforms like Triton Inference Server, TorchServe, ONNX Runtime, or Ray Serve
  • Proficiency in containerization and orchestration using Docker and Kubernetes
  • Experience with MLOps tools such as MLflow, Weights & Biases, Kubeflow, or Airflow
  • Strong knowledge of cloud platforms (AWS, GCP, Azure) and infrastructure-as-code practices
  • Experience with SQL and NoSQL databases, caching systems (e.g., Redis), and messaging systems (Kafka, RabbitMQ)
  • Proficiency with Git and modern GitHub/GitLab workflows
  • Bachelor’s degree in Computer Science, Engineering, or a related field is a plus

Nice to Have

  • Experience working with large language models or foundation model architectures
  • Familiarity with vector databases such as FAISS, Pinecone, or Weaviate
  • Exposure to LLM orchestration frameworks like LangChain, LlamaIndex, or Haystack
  • Experience with graph processing, streaming systems, or real-time inference platforms
  • Interest in AI evaluation, interpretability, or AI safety practices

Why Join

  • Build cutting-edge backend and infrastructure systems for applied AI at scale
  • Collaborate with highly skilled engineers, researchers, and platform teams
  • Opportunity to contribute to open-source tools and research-driven engineering
  • Competitive compensation and a collaborative, in-office engineering culture
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