Senior Backend Developer (Python)

Actively Reviewing the Applications

Weekday AI (YC W21)

India, Karnataka, Bengaluru Full-Time On-site INR 35–50 LPA

Posted 2 hours ago • Apply by June 3, 2026

Job Description

This role is for one of the Weekday's clients

Salary range: Rs 3500000 - Rs 5000000 (ie INR 35 - 50 LPA)

Min Experience: 5 years

Location: Bengaluru

JobType: full-time

As a Senior Backend Developer (Python), you will design, develop, and optimize high-performance backend systems that support scalable AI-driven platforms and distributed applications. In this role, you will collaborate with machine learning engineers, platform teams, and infrastructure specialists to deploy intelligent services, scale complex workflows, and efficiently serve AI models across diverse environments. Your work will play a key role in building reliable, interoperable, and adaptive backend systems that power advanced AI solutions.

Requirements

Core Responsibilities

Design, develop, and maintain backend systems, microservices, and APIs using Python.
Architect and deploy distributed infrastructure capable of handling high-throughput AI workloads.
Collaborate closely with ML engineers to integrate trained models into scalable production systems.
Build and manage both real-time and batch inference pipelines for AI-driven applications.
Contribute to DevOps and MLOps workflows, including CI/CD automation, monitoring, observability, and autoscaling.
Ensure high availability, reliability, security, and performance of backend services.
Optimize internal tools, model-serving infrastructure, and large-scale system performance.

Skills & Qualifications

Strong professional experience developing production-grade applications with Python.
Deep understanding of distributed systems, asynchronous programming (Python asyncio), and network programming.
Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or JAX.
Hands-on experience with model-serving platforms such as Triton Inference Server, TorchServe, ONNX Runtime, or Ray Serve.
Experience with containerization technologies like Docker and orchestration platforms such as Kubernetes.
Experience with MLOps tools such as MLflow, Weights & Biases, Kubeflow, or Apache Airflow.
Strong understanding of cloud platforms (AWS, Google Cloud, or Azure) and infrastructure-as-code practices.
Experience working with SQL/NoSQL databases, caching systems (Redis), and messaging systems such as Kafka or RabbitMQ.
Proficiency with Git and modern collaborative workflows using GitHub or GitLab.
Bachelor's degree in Computer Science, Engineering, or a related field is a plus.

Nice to Have

Experience working with large language models (LLMs) 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 systems, streaming architectures, or real-time inference platforms.
Interest in AI evaluation, interpretability, or safety frameworks.

Why Join

Build cutting-edge infrastructure supporting large-scale AI applications.
Work alongside a highly skilled team of engineers, researchers, and AI specialists.
Contribute to open-source tools and research-driven development initiatives.
Competitive compensation and the opportunity to work in a collaborative, in-office engineering environment in Bangalore.

Core Skill: Python