Senior AI Backend Engineer

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.

This is Hybrid rol eLocation - Bengaluru / Hyderabad/ Pune/ Gurugra

mShift Timings - 2 PM - 11 PM IS TMonday to Frida y **Looking for Immediate Joiners Only ** 7-8 years of backend development experie

nceNeed strong Python, Tensorflow and Keras experienc eb This role brid

ges backend engineering, machine learning systems, and production infrastruc ture, ensuring AI solutions are scalable, secure, and production-re

ady. Key Responsibil

• itiesDesign and develop scalable backend services that support AI-powered applicat
• ions.Build and maintain APIs for model inference (LLMs, NLP, computer vision, recommendation syst
• ems).Deploy and manage machine learning models in production environm
• ents.Develop data pipelines for training, evaluation, and real-time infer
• ence.Optimize system performance for low-latency, high-throughput AI workl
• oads.Implement monitoring, logging, and observability for AI serv
• ices.Ensure system security, reliability, and scalabi
• lity.Collaborate with ML engineers to productionize research mo
• dels.Work with DevOps to manage cloud infrastructure and CI/CD pipel

ines. Required Qualific

• ations7-8 years of backend development exper ience. Strong proficie
• ncy in:Python (preferred) or Node.
• js / GoRESTful APIs and/or
• GraphQLExperience working with ML frameworks (TensorFlow, PyTorch,
• etc.).Experience deploying models to production enviro
• nments.Experience in RAG, LLM and Age
• ntic AIFamiliarity with cloud platforms (AWS, GCP, or
• Azure).Strong understanding of databases (SQL and
• NoSQL).Experience with Docker and containeri
• zation.Knowledge of distributed systems and microservices archit

ecture. Preferred Qualif

• icationsExperience with model serving frameworks (TorchServe, FastAPI, Triton
• , etc.).Knowledge of vector databases (Pinecone, Weaviate,
• FAISS).Experience with streaming systems (Kafka, P
• ub/Sub).Familiarity with Kub
• ernetes.Understanding of MLOps practices an
• d tools.Experience in high-growth or startup envir onments.