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Location: Bengaluru, Karnataka (or throughout India remote-friendly with travel)
EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation.
We serve open-weight models and our own bespoke checkpoints on EnCharge hardware. The models change often, and the harness around them needs to keep up. You own this layer that runs agents against files, tools, documents with permissions, memory, unattended execution, and real outputs. It will be assembled from a combination of open-source and bespoke code.
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Contributions to open-source agent harnesses or coding agents
Experience with agent benchmarks (e.g., SWE-bench, Terminal-Bench) and building internal task suites
MoE serving familiarity e.g. expert placement, tensor parallelism, quantization etc.
Observability for LLM systems
Document parsing and indexing pipelines
Desktop or GUI application experience
EnCharge AI is a private semiconductor company developing analog in-memory AI accelerators and software for edge-to-cloud computing.
Visit company websiteJobs and hiring trendsFull-time
Senior · 10+ years experience
Remote
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