We are hiring a founding engineer to own inference and eval pipelines. Stack: Python, Postgres, Kubernetes. You should have shipped ML in production, not just notebooks.
Looking for a senior backend engineer with experience in regulated environments (healthcare or fintech). Remote-friendly across EU time zones.
Opening a founding designer role for a workflow-heavy B2B product. Domain research is half the job.
Most teams overspend on GPUs because they skip workload profiling. We published our sizing methodology.
Open-sourcing a library for tracking GPU cost per request across multi-tenant serving.
How are you handling prompt versioning in production? Curious what others use before building internal tooling.
Build log: cut p95 latency on our RAG pipeline from 4.2s to 1.1s with embedding cache per tenant.
Shipped v0.3 of our eval harness: regression tests on every PR with a frozen golden set.
Week 12 update: migrated to spot GPU instances with checkpointing. Cost down 38%.
We are hiring a founding engineer to own inference and eval pipelines. Stack: Python, Postgres, Kubernetes. You should have shipped ML in production, not just notebooks.
Build log: cut p95 latency on our RAG pipeline from 4.2s to 1.1s with embedding cache per tenant.
Looking for a senior backend engineer with experience in regulated environments (healthcare or fintech). Remote-friendly across EU time zones.
Shipped v0.3 of our eval harness: regression tests on every PR with a frozen golden set.
Opening a founding designer role for a workflow-heavy B2B product. Domain research is half the job.
Week 12 update: migrated to spot GPU instances with checkpointing. Cost down 38%.
Most teams overspend on GPUs because they skip workload profiling. We published our sizing methodology.
Open-sourcing a library for tracking GPU cost per request across multi-tenant serving.
How are you handling prompt versioning in production? Curious what others use before building internal tooling.
Most teams overspend on GPUs because they skip workload profiling. We published our sizing methodology.
Open-sourcing a library for tracking GPU cost per request across multi-tenant serving.
How are you handling prompt versioning in production? Curious what others use before building internal tooling.
Build log: cut p95 latency on our RAG pipeline from 4.2s to 1.1s with embedding cache per tenant.
Shipped v0.3 of our eval harness: regression tests on every PR with a frozen golden set.
Week 12 update: migrated to spot GPU instances with checkpointing. Cost down 38%.
We are hiring a founding engineer to own inference and eval pipelines. Stack: Python, Postgres, Kubernetes. You should have shipped ML in production, not just notebooks.
Looking for a senior backend engineer with experience in regulated environments (healthcare or fintech). Remote-friendly across EU time zones.
Opening a founding designer role for a workflow-heavy B2B product. Domain research is half the job.
Most teams overspend on GPUs because they skip workload profiling. We published our sizing methodology.
Open-sourcing a library for tracking GPU cost per request across multi-tenant serving.
How are you handling prompt versioning in production? Curious what others use before building internal tooling.
We are hiring a founding engineer to own inference and eval pipelines. Stack: Python, Postgres, Kubernetes. You should have shipped ML in production, not just notebooks.
Build log: cut p95 latency on our RAG pipeline from 4.2s to 1.1s with embedding cache per tenant.
Looking for a senior backend engineer with experience in regulated environments (healthcare or fintech). Remote-friendly across EU time zones.
Shipped v0.3 of our eval harness: regression tests on every PR with a frozen golden set.
Opening a founding designer role for a workflow-heavy B2B product. Domain research is half the job.
Week 12 update: migrated to spot GPU instances with checkpointing. Cost down 38%.