Senior AI Backend Engineer

We are looking for a

Senior AI Backend Engineer

to build and scale the core infrastructure powering next-generation AI products. This is a high-impact role where you will work at the intersection of backend engineering, machine learning systems, and cloud infrastructure. If you’re passionate about building scalable AI systems, optimizing model performance, and working with cutting-edge technologies like LLMs and real-time data pipelines — we’d love to connect!

Key Responsibilities Design and develop scalable backend services for AI-driven applications Build and maintain APIs for model inference (LLMs, NLP, Computer Vision, Recommendation Systems) Deploy and manage ML models in production environments Develop data pipelines for training, evaluation, and real-time inference Optimize systems for low-latency and high-throughput workloads Implement monitoring, logging, and observability for AI services Ensure system security, reliability, and scalability Collaborate with ML engineers to productionize models Work with DevOps teams on cloud infrastructure and CI/CD pipelines

Required Skills & Experience 7–8 years of backend development experience Strong proficiency in

Python (preferred)

or Node.js / Go Experience building

RESTful APIs / GraphQL services Hands-on experience with ML frameworks like

TensorFlow / PyTorch Experience deploying ML models into production Familiarity with cloud platforms ( AWS / GCP / Azure ) Strong understanding of

SQL & NoSQL databases Experience with

Docker & containerization Solid knowledge of

distributed systems & microservices architecture

Preferred Qualifications Experience with

LLM integration & prompt engineering Familiarity with model serving tools ( FastAPI, TorchServe, Triton ) Knowledge of

vector databases

(Pinecone, Weaviate, FAISS) Experience with

streaming systems

(Kafka, Pub/Sub) Exposure to

Kubernetes Understanding of

MLOps practices and tools Prior experience in a

startup or high-growth environment