- Backend EngineerBengaluru, India · On-site · Senior
Build and scale backend systems for an AI platform, working on production-grade APIs, distributed microservices, and cloud-native infrastructure.
Python, FastAPI, PostgreSQL, Kafka, Docker, Kubernetes, Data Structures & Algorithms, System Design
Posted 12 Oct 2026
- AI Research EngineerBengaluru, India · On-site · Senior
Design and execute post-training workflows for foundation models using reinforcement learning and alignment techniques.
Reinforcement Learning, Policy Gradient Methods, Reward Modeling, Distributed Training, Preference Optimization, Ray, vLLM, DeepSpeed
Posted 6 Oct 2026
- Performance Engineer - InferenceBengaluru, India · On-site · Senior
Improves the performance of systems that serve foundation models by identifying bottlenecks and implementing optimizations.
Python, System Design, Data Structures & Algorithms, Distributed Systems, Transformer Inference, Accelerator Performance Fundamentals, Quantization, Low-Precision Inference
Posted 25 Sep 2026
- ML Systems Engineer – Training & InferenceBengaluru, India · On-site · Senior
Build systems for training and serving large foundation models at scale, focusing on accelerator-based (TPU) training and inference.
Python, Kubernetes, Distributed Systems, System Design, Data Structures & Algorithms, Go, Rust, C++
Posted 4 Sep 2026
- Distributed ML/AI Infrastructure EngineerBengaluru, India · On-site · Senior
Build and optimize large-scale distributed training systems for AI foundation models using GPU and TPU clusters.
Python, Linux, Shell Scripting, CUDA, PyTorch Distributed, NCCL, MPI/OpenMPI, Docker
Posted 4 Sep 2026
- Mobile Systems EngineerBengaluru, India · On-site · Mid level
Optimize mobile application performance, scalability, and reliability across Android and iOS platforms.
Flutter, Dart, Swift, Kotlin, Kotlin Multiplatform (KMP), Native Platform Channels (Method Channel/FFI), Custom Flutter Package/Plugin Authoring, On-Device AI (LiteRT-LM)
Posted 4 Sep 2026
- AI/ML EngineersBengaluru, India · On-site · Mid level
Build and scale AI capabilities, focusing on LLM applications, AI agents, RAG, memory, tool calling, evaluation, and backend services.
Python, LLMs, RAG, Tool calling, Backend APIs, Production engineering, LangGraph
Posted 4 Sep 2026
- AI Data EngineerBengaluru, India · On-site · Mid level
Build scalable data pipelines to source, process, and prepare large-scale corpora for training and evaluating foundation models.
Python, Apache Spark, Ray, Dask, Trafilatura, GCS/GCP, JSONL, Parquet
Posted 4 Sep 2026