April 2026 Jobs

4 yrs production GenAI: AWS Bedrock RAG (92% recall, HIPAA), LangGraph multi-agent copilots shipped to prod, QLoRA/LLaMA 2 fine-tuning, LangChain/LlamaIndex, Python, Docker/K8s.

Co-author ACL 2024 (healthcare AI). MS Data Science UNT 2024. Currently ML Research Scientist @ Auburn (multi-agent VLMs).

Open to: Applied Scientist / ML Eng / GenAI Eng / AI Eng

Email: ksaimanikanta4@gmail.com GitHub: github.com/saikasireddy Resume: [https://docs.google.com/document/d/1pjp-I0XfRP96fxu-nbIdOAVQ...]

We are Baseten, the team that powers mission-critical inference for the world’s most dynamic AI companies such as Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. We’re growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock and Conviction. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production.

Apply Here: https://jobs.ashbyhq.com/baseten?utm_source=gkzEP29VD4 or email Jason.dupree@baseten.co

We are hiring for multiple core roles:

1. Solution Architect: You will partner closely with sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnerships with Sales and Engineering

2. AI Solutions Engineer/Forward Deployed Engineer: You will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment. To be clear, this is a technical engineering role with hands-on coding and software dev that also includes aspects of product management, technical customer success and pre-sales solutions engineering mixed in. We’re language agnostic but strong Python and ML experience is a big plus.

3. Customer Engineer: You'll partner closely with Solutions Architecture, SRE, Infra, Product, and Forward Deployed Engineering, but you own the customer outcome end-to-end: from first response to root-cause analysis to the follow-up that reinforces trust. This role blends deep infrastructure debugging, AI/ML performance expertise, incident command, and proactive account ownership. You'll triage and resolve issues across Kubernetes, GPUs, networking, and model serving, lead war rooms during P0 escalations, and translate recurring pain points into product improvements.

The Offer:

Compensation: Very competitive, we’re looking for folks with a breadth of experience

Equity: This is an opportunity to participate in the ownership of a fast-growing AI Infrastructure platform

Location: We are based out of San Francisco with offices in New York. We are also open to remote employees for these roles.

Process: If you’re interested, please apply here https://jobs.ashbyhq.com/baseten?utm_source=gkzEP29VD4 or email me direct at Jason.dupree@baseten.co

30 cents of every behavioral health dollar in the U.S. is wasted — on ineffective care, administrative overhead, and outright fraud. Onos fixes this by ensuring every healthcare dollar goes toward high quality care.

Our AI platform helps health plans identify where care is going wrong, get members on the right clinical pathway, catch fraud and abuse, and automate reviews that clinical teams currently do by hand. We're well funded by top healthcare investors and live with some of the nation's largest health plans.

Stack: Python/Django, Next.js/TypeScript, PostgreSQL, AWS (Bedrock, ECS, Glue, S3). We ship with Claude Code and CodeRabbitAI.

Hiring:

- Staff Software Engineer (AI) — LLM pipelines for clinical note extraction, level-of-care classification, eval frameworks - Lead Engineer (Backend) — clinical workflow engine, AI/ML pipeline integration, multi-tenant architecture - Lead Engineer (Data/Integrations) — payer data pipelines, EDI X12/FHIR/HL7, claims feed infrastructure

All roles: https://onoshealth.com/career Email: [joinus@onoshealth.com](mailto:joinus@onoshealth.com) (mention HN)

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... — We also recently passed over a billion sandboxes created and on our way to 2B soon.

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.

If you are interested in a product engineering role, please feel free to reach out directly via email at can@modal.com with a recent resume. This role is NYC based and is on-site, so please mention your current location to be considered. I am especially looking for folks with deep ClickHouse, Postgres, Redis, and Python experience.

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

For all other roles, please apply from our website.

All roles: https://modal.jobs

We are hiring two Product Engineers to join us in our newly opened office in SF. We're small and early and you'll help shape team culture.

Kinelo solves "context myopia": autonomous and semi-autonomous AI agents don't know what they don't know, so they can't search or find the background information required to accomplish tasks accurately and effectively. The result looks like slop but it's not due to model performance, more due to workflow integration. From there, we're rapidly moving into organizing humans together with autonomous "AI coworkers" into workflows that span both. Our goal is to change how organizations are run and structured.

Our #1 hiring criteria for this position is immense software wisdom, the kind not yet encoded in the weights of an LLM. We are not looking for artisans to meticulously craft single lines of code. We're looking for software engineers excited to use the leverage that AI offers for code production to permit focus on higher order technical architecture, product requirements, and user needs.

We're looking for enough experience that indicates accumulated wisdom in shipping and maintaining reliable, scalable software, solid CS fundamentals, experience taking products from 0 to 1, and versatility.

Our current tech stack includes TypeScript, a managed container service, Postgres, and Redis. But we are adaptive and you should be too. We highly value software engineering and computer science fundamentals and experience with other languages like Go, C++, Python is valued.

Competitive salary, meaningful (~first batch of hires) equity, founder previously exited to Apple, strong fundraising history (~$10m).

Please email us at jobs@kinelo.com. If you want to stand out, tell us how you think the job of a software engineer is changing. There's also a full JD here: https://job-boards.greenhouse.io/kinelo/jobs/4205846009

Rinse provides dry cleaning and laundry delivery services to customers in twelve metropolitan areas in the US and Canada. We have sophisticated logistics optimization software, a polished consumer product, and firm business fundamentals. We're now over a decade old - this is a stable, yet consistently growing and innovating, company.

Our engineering team is distributed across the United States and internationally, and has been entirely remote for years now, but a desk can be provided in the above cities if you'd prefer.

We're open to both newly-graduated engineers or more senior engineers, provided they meet our bar. We're particularly interested in true full-stack engineers, with strong React / Typescript / CSS skills to complement comfort in a Python / Django environment. We're also seeking engineers with experience leveraging AI to automate complex operational processes.

This season, we're particularly interested in new grads or junior engineers, to round out the team.

You will join a high-caliber team where collaboration, honesty, and open communication are at the core of everything we do.

Search term bingo: Logistics, Django, Python, Optimization, React, React Native, Postgres, Mobile Engineer, Automation, Delivery, OR-tools, Forecasting