AI Backend Engineer

We are CirrusLabs. Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.

You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented <AI Backend Engineer>to join our team. If you're excited to be part of a winning team, CirrusLabs (http://www.cirruslabs.io) is a great place to grow your career.

Experience - 3-8 years

Location - Bengaluru or Hyderabad

Shift Timings - 2 PM to 11 PM IST

About the Role

We are seeking a highly skilled AI Backend Engineer to design, build, and scale backend systems that power AI-driven products. You will work at the core of our AI infrastructure, integrating machine learning models, optimizing inference performance, and building reliable APIs and data pipelines.

This role bridges backend engineering, machine learning systems, and production infrastructure, ensuring AI solutions are scalable, secure, and production-ready.

Key Responsibilities

• Design and develop scalable backend services that support AI-powered applications.
• Build and maintain APIs for model inference (LLMs, NLP, computer vision, recommendation systems).
• Deploy and manage machine learning models in production environments.
• Develop data pipelines for training, evaluation, and real-time inference.
• Optimize system performance for low-latency, high-throughput AI workloads.
• Implement monitoring, logging, and observability for AI services.
• Ensure system security, reliability, and scalability.
• Collaborate with ML engineers to productionize research models.
• Work with DevOps to manage cloud infrastructure and CI/CD pipelines.

Required Qualifications

• 3+ years of backend development experience.
• Strong proficiency in: Python (preferred) or Node.js / Go
• RESTful APIs and/or GraphQL
• Experience working with ML frameworks (TensorFlow, PyTorch, etc.).
• Experience deploying models to production environments.
• Familiarity with cloud platforms (AWS, GCP, or Azure).
• Strong understanding of databases (SQL and NoSQL).
• Experience with Docker and containerization.
• Knowledge of distributed systems and microservices architecture.

Preferred Qualifications

• Experience with LLM integration and prompt engineering.
• Experience with model serving frameworks (TorchServe, FastAPI, Triton, etc.).
• Knowledge of vector databases (Pinecone, Weaviate, FAISS).
• Experience with streaming systems (Kafka, Pub/Sub).
• Familiarity with Kubernetes.
• Understanding of MLOps practices and tools.
• Experience in high-growth or startup environments.