Senior Software Engineer

3 days ago

Bengaluru Karnataka India, Karnataka Tipstat® Full time

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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