Evercred (Pre-A stage) | Remote (US) | Technical Co-Founder - AI Agent Infrastructure | $20K/mo + up to 20% equity We're building AI agents that reduce physician credentialing from 90 days to 14 days. $50B market, healthcare orgs desperate for this solution.

THE ROLE: You'd own agent orchestration, monitoring, and ML operations as founding technical leader. We have agents built by external agency launching in 2-4 weeks. You'd evaluate their implementation, build operational infrastructure, and own the technical strategy as we scale from 0 → thousands of verifications monthly.

THE OPPORTUNITY: - 20% equity (founding team level, 4-year vest) - $20K/month cash (adjustable based on equity preference) - Clear path to Series A: $1M ARR by summer 2025 - Own agent infrastructure for industry-disrupting product - Work directly with CEO/CPO, high autonomy

THE REALITY: - 3-4 month runway (aggressive growth targets) - Remote/async-first, US-based for timezone overlap - Paid trial week ($1,400) - mutual evaluation for partnership - Need production ML/agent experience - Must move fast intelligently (AI-assisted development expected)

THE TRIAL: Week 1: Evaluate third-party agent code, build monitoring infrastructure, or pivot to corrective strategy if code needs work. Testing judgment + execution + communication.

LOOKING FOR: - Production experience with LLM agents or ML systems - Can leverage AI tools (Claude/Cursor) to accelerate safely - Comfortable with ambiguity, short runway, high ownership - Wants equity upside, sees potential in healthcare transformation - CTO-level strategic thinking

NOT A FIT IF: - Need structured W2 role with benefits - Want low-risk established company - Optimizing for maximum cash vs. equity potential - Need multiple approval layers for decisions

TO APPLY: Email Email is hidden with: 1. Your approach to the trial problem (3-5 sentences) 2. Why 20% equity interests you vs. full cash 3. How you'd use AI tools to accelerate the week

We respond within 24 hours. Strong candidates start immediately.

Healthcare credentialing is broken. Help us fix it.

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SightlineOS | NYC (Hybrid) | Senior Data Engineer, Senior Full Stack Engineer | Full-time

Hey HN, this is Louis, co-founder at SightlineOS.

Yusha, Derrick, and I are building an AI-native supply chain operating system for restaurant chains. It’s a massive, overlooked space with deeply underutilized data, and we’re using modern data and ML systems to automate planning, inventory management, and spend optimization.

We’re venture-backed, NYC-based, and are hiring our first senior engineers as we start to scale. These are high-ownership roles with real production impact from day one.

You’d work closely with founders, own core systems end to end, and help shape the technical foundation of the company. Depending on the role, you’ll either own and scale the data foundations that power our ML and customer insights, or ship end-to-end product features that directly impact how customers operate day to day.

Location: NYC (hybrid, 3 days/week in office) Salary: $135,000 - $185,000, role-dependent + equity

Apply here: https://www.sightlineos.com/careers

Matterworks.ai | ML Scientist & Engineering | Remote or Hybrid (Boston/Somerville MA)

At Matterworks we are building AI tools to extract insights from the ever-growing corpora of biological data and to unlock opportunities in therapeutic discovery, development, and manufacturing. We are building large-scale deep learning models of biological data to predict the phenotype and behavior of biological systems.

Staff ML Scientist - https://jobs.ashbyhq.com/matterworks/460eb0dc-61fb-4b6e-843c...

Senior ML Scientist - https://jobs.ashbyhq.com/matterworks/41be74b6-c7cf-4ad3-a908...

Data Manager - https://jobs.ashbyhq.com/matterworks/5a5f7cd3-bf06-4238-b3e6...

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We are hiring at deepset, makers of Haystack | Forward Deployed Engineers | Remote (EU/UK) + hubs: Berlin, Barcelona, London | Full Time

* We build AI that companies actually run in production (not demos) * You ship customer-facing LLM apps end-to-end: discovery → build → rollout * You sit at the intersection of product, engineering, and customer teams

Interesting problems you’ll work on: * Turning messy workflows + data into reliable RAG/agent systems * Making prototypes production-ready (latency, evals, reliability, security) * Building repeatable solutions that scale across customers

All roles are here: https://www.deepset.ai/careers Or reach out directly: https://bit.ly/julialn

Phonely | Senior Backend Engineer (Python) | San Francisco (Onsite) | Full-time

We’re building the future of voice AI for businesses, with a platform designed to make real-time agents easy to build, tune, and operate.

We’re looking for a senior backend engineer to work on core systems that drive live voice conversations in production. This is a hands-on role with a lot of ownership and a lot of Python.

What you’ll do

• Build Python-based state systems for real-time voice AI conversations

• Integrate multiple LLM providers (prompting, routing, tool calling, fallbacks)

• Write high-performance async Python (FastAPI, asyncio)

• Design and test resilient agent logic and microservices

• Operate and improve production systems with strong observability

What we’re looking for • 5+ years of Python experience, including async web services

• Experience with FastAPI, testing, and CI/CD

• Strong system design and security fundamentals

• Familiarity with LLMs, cloud infrastructure, AWS, and Kubernetes

Stack

Python, FastAPI, async microservices, AWS/GCP, Kubernetes, Redis, Firebase, Supabase, Datadog, SIP/voice APIs

Why Phonely

Small, intense team of builders. High ownership, fast pace, real impact. In-office 5 days/week in SF. Company-paid meals, great culture and periodic international work trips.

https://www.ycombinator.com/companies/phonely/jobs/gp1xsau-s...

Modal | Software Engineers (Product, System, SDK) | SF, NYC (ONSITE) | Full Time | modal.com

Modal builds the serverless cloud used by many of the most popular AI companies you've heard of. People use Modal for inference, training, batch operations and also, sandboxes. A good example is the Ramp Inspect tool, that was built on Modal sandboxes. https://engineering.ramp.com/post/why-we-built-our-backgroun...

I am one of the hiring managers here, hiring for the Product Engineering team that builds the observability tooling for our developers. Modal is the cloud for many of our customers and we help them reason about what's happening in their systems, help them expand their use and generally have a good experience.

Feel free to reach out directly at Email is hidden if you are interested in that role.. Modal is hiring in SF, NYC, and Stockholm. My team is primarily in NYC, and this is an in-office role.

Product Engineering Role: https://jobs.ashbyhq.com/modal/a4b8b2b6-5d0c-4ba6-9256-b84be...

All roles: https://modal.com/company#careers

Lago (getlago.com) | Product & Engineering | Full-Time, Perm Hiring

Lago is the billing platform that gives teams full transparency, control and flexibility to manage and scale any pricing model. As the leading open-source billing platform, we empower businesses to build flexible pricing models and scale with confidence. We’ve raised over $22 million in funding from top-tier investors including Y Combinator and FirstMark, reflecting strong confidence in our vision and growth.

Open Roles: // Senior Backend Engineer (Remote Europe / LATAM) - Ruby, 5+ years of xp // Senior Infrastructure Engineer (Remote Europe) - AWS, K8s, Pulumi // Product Manager (Paris) - 4+ years of experience, B2B, Scale-up xp preferred // Product Designer (Paris) - 4+ years of experience, B2B, Scale-up xp preferred // Head of Engineering (Paris ideal, Remote France or UK possible) - 5+ years in Senior Leadership positions, xp of fast scaling teams. // Forward Deployed Engineer (Remote USA) - 5+ years of xp

Apply/Read more here: https://www.getlago.com/hiring

Company: AMD

Role: GPU Performance Software Development Engineer

Location: San Jose, CA (see posting for details)

We’re building Wave, a high-performance GPU programming language and compiler for machine learning workloads. Wave combines a Python-embedded DSL with an MLIR-based compiler stack to give engineers explicit control over GPU kernel performance.

We’re looking for a low-level GPU performance engineer to own end-to-end performance of Wave’s kernels.

You’ll work on

• Hand-tuned GPU kernels (GEMM, Attention, MoE, decoding)

• Instruction-level optimization: memory, registers, scheduling, wave/warp behavior

• HIP/CUDA, GPU intrinsics (MFMA/MMA), and inline assembly • MLIR dialects, lowering pipelines, and performance-critical compiler passes

• Profiling via disassembly, counters, rocprof/Nsight

Wave codebase: https://github.com/iree-org/wave

Job posting: https://careers.amd.com/careers-home/jobs/77039?lang=en-us