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Senior Software Engineer (Python) — AI Platform & Distributed Systems

Senior Software Engineer (Python) — AI Platform & Distributed Systems

Tipstat®Bengaluru, Karnataka, India
5 days ago
Job description

About the Role

We are looking for a highly skilled Backend Engineer with a strong background in Python, system design, and infrastructure to join our team. You will be responsible for designing, building, and maintaining scalable backend systems, while collaborating with cross-functional teams to deliver robust and efficient solutions.

This role requires someone who can think end-to-end , from designing high-level architecture, implementing core services, to ensuring production-grade reliability and performance.

Key Responsibilities

  • Develop and maintain backend services and APIs using Python & NodeJs
  • Design scalable, resilient, and maintainable systems, focusing on system architecture and distributed systems .
  • Integrate AI and large language models (LLMs) into applications, ensuring performance, scalability, and cost-efficiency.
  • Collaborate with AI / ML teams to deploy models into production pipelines.
  • Optimize infrastructure for AI workloads (GPU usage, caching, batch processing)
  • Build and maintain monitoring, logging, and observability for AI-powered systems.
  • Troubleshoot and resolve issues in production systems while maintaining high reliability.
  • Participate in design and code reviews, and drive engineering best practices across the team.
  • Automate deployment pipelines for backend and AI services (CI / CD, IaC).

Required Skills & Qualifications

  • Strong experience in Python (FastAPI (most-preferred), Flask, Django, or similar) or NodeJS (Express (most-preferred), Fastify or similar)
  • Solid understanding of system design principles : scalability, fault tolerance, distributed systems.
  • Experience with infrastructure and DevOps : Docker, Kubernetes, Terraform, CI / CD pipelines.
  • Hands-on experience with cloud platforms (AWS, Azure, GCP), especially for AI workloads.
  • Knowledge of databases (SQL & NoSQL) and caching systems (Redis, Memcached).
  • Experience integrating LLMs or AI APIs into production systems (OpenAI, HuggingFace, LangChain, etc.).
  • Familiarity with messaging / streaming systems (Kafka, RabbitMQ).
  • Monitoring and observability experience (Prometheus, Grafana, ELK).
  • Strong problem-solving, debugging, and analytical skills.
  • Excellent communication and collaboration skills.
  • Nice to Have

  • Experience with generative AI pipelines , vector databases, and embeddings.
  • Familiarity with ML Ops tools (MLflow, BentoML, Ray Serve, etc.).
  • Knowledge of event-driven architectures and microservices.
  • Prior experience in AI / LLM-focused startups or high-scale AI systems .
  • What We Offer

  • Opportunity to work on challenging, large-scale systems with real-world impact.
  • Collaborative team culture with focus on learning and innovation .
  • Competitive compensation and growth opportunities.
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