Senior AI Backend Engineer - Hyderabad/ Bengaluru

We are seeking a highly skilled Senior 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.

Location - Bengaluru / Hyderabad

Shift Timings - 2 PM - 11 PM IST

Onsite - Monday to Friday

Compensation Range: INR 25-26 LPA

**Looking for Immediate Joiners Only**

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

• 7-8 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.
• Experience in RAG, LLM and Agentic AI
• 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 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.