Staff Software Engineer, Machine Learning (LLM Backend)

Location: Burlingame, CA (On-site, 4 days/week)

Employment Type: Full-time

Salary Range: $145K - $250K

We are a rapidly growing AI technology company transforming mission-critical processes in the healthcare industry. We are seeking a Staff Software Engineer to architect and scale the secure, reliable backend systems that power our advanced Large Language Model (LLM) applications. This role requires expertise at the intersection of applied AI, distributed systems, and security/compliance in a regulated domain.

You will be responsible for pushing LLMs beyond demos into mission-critical, cost-efficient, and secure production healthcare workflows. This is a technical leadership role driving the end-to-end delivery of core ML/LLM systems.

Key Responsibilities:

Senior Software Engineer - AI-Powered Healthcare Communication

Location: Hybrid - San franciisco

Compensation: $125K - $200K

We are a high-growth AI and Healthcare technology company with the mission of making exceptional healthcare accessible anytime, anywhere, for everyone. Our platform uses Generative AI to facilitate millions of patient interactions, helping health systems automate operational tasks and navigate care at scale. We are well-capitalized, growing rapidly (with 10x revenue growth since January), and backed by leading investors. We are seeking a product-minded Senior Software Engineer to build and scale the customizable fleet of GenAI agents that power our platform.

You will be a critical, autonomous contributor, deeply involved in key decisions alongside the founders. Your primary focus will be on building our AI-powered healthcare communication platform, which includes developing voice agents that serve as the first point of contact for medical practices, handling tasks from appointment scheduling to patient triage. You will translate complex healthcare needs into scalable, secure software solutions.

Responsibilities:

Founding Software Engineer - AI Evaluation & Data Infrastructure

Location: San Francisco

compensation: $150K - $240K

We are building the most complex infrastructure that powers frontier data creation for agentic and hard reasoning workflows, helping push the frontier of LLMs and AI Agents. We work with all 5 of the leading AI labs and are experiencing sharp hockey stick growth. We are seeking a Founding Software Engineer with end-to-end ownership to build the systems that power data and evaluation for the next generation of AI.

This is a dynamic, high-impact role that offers immense breadth of ownership over projects that push the frontier of AI evaluation. You will move fluidly across the entire stack, from research prototyping to distributed cloud infrastructure and user-facing analytics. You must be comfortable with constant context switching and relentless shipping in a talent-dense environment.

What You’ll Do:

Founding Full Stack Software Engineer (Backend/AI Focus)

Location: Los Angeles, CA, US (On-site)

Employment Type: Full-time

Salary Range: $160K - $225K

We are a rapidly growing, Y-Combinator-backed (YC X25) startup operating at the intersection of AI and Cybersecurity. We are building fully autonomous, in-house AI agent systems designed to solve critical, large-scale problems in modern web application security. Join a small, high-impact founding team to define and build the core technology from the ground up.

We are seeking a skilled and passionate Founding Full Stack Software Engineer with a strong focus on backend development and AI systems. You will be responsible for designing, developing, and maintaining highly scalable, high-performance web applications and our cutting-edge AI Agent platform.

Founding AI Engineer (Healthcare Focus)

Location: Albuquerque, NM (On-site, 5 days/week)

Employment Type: Full-time

Compensation Structure: Salary: $150K + Significant Equity

We are a mission-driven, pre-seed startup focused on reimagining healthcare delivery through state-of-the-art AI capabilities. Join a small, high-ownership founding team as the inaugural AI Engineer, where your work will directly transform patient and clinician experiences. This role offers the unique opportunity to operate as a co-founder and is ideal for a builder motivated by massive impact.

We are seeking a curious, creative, and disciplined Founding AI Engineer to take the lead in integrating and deploying AI solutions that re-engineer complex clinical workflows. This role demands high autonomy, a deep technical skillset, and a relentless focus on solving real-world challenges in the healthcare space.

What You'll Be Doing:

Applied AI Engineer

Location: NYC (On-site, 5 days/week)

Employment Type: Full-time

Salary Range: $150K - $225K

We are a rapidly growing, well-funded technology company operating at the intersection of AI, Software Development, and the Healthcare/Life Sciences industry. We are building a foundational network and applying advanced AI techniques to revolutionize how new life-changing therapies reach patients. This is a demanding, high-autonomy role with end-to-end responsibility for driving measurable business impact. Visa sponsorship is available.

As an Applied AI Engineer, you will be responsible for leveraging LLMs and various Machine Learning techniques to solve critical business problems, automate complex processes, and create groundbreaking AI applications across our product suite. This role requires a deep understanding of the business domain to ensure your technical output directly drives user growth, operational efficiency, and revenue generation.

Key Responsibilities:

We are looking for a Senior DevSecOps who will help make our cloud infrastructure safe, stable, and automated. You will work together with the development, platform, and security teams to add security at every step of product creation.

This is a great chance to grow in security automation, improve processes, and bring modern DevSecOps practices into the company.

Requirements

Must-Have Skills

5+ years of hands-on experience in DevOps / DevSecOps / Cloud Engineering roles;

Deep expertise with AWS services (IAM, VPC, CloudTrail, GuardDuty, KMS, WAF);

Proven experience with Kubernetes security — RBAC, network segmentation, image scanning, Falco or similar runtime security tools;

Strong proficiency in Infrastructure-as-Code tools, particularly Terraform (modules, state management, policy as code);

Experience managing CI/CD pipelines on GitHub Actions with integrated vulnerability scanning and secret protection;

Solid knowledge of Cloudflare security suite (Zero Trust, WAF, DNS, Access, API Gateway rules);

Familiarity with SSO and MFA solutions (DUO SSO, OIDC flows, federation via SAML);

Scripting and automation using Python, Bash, or Go;

About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

Zyte is seeking an experienced Team Lead to manage our Core & MLOps Squad, responsible for "Building the bedrock infrastructure that powers Zyte at scale." This hands-on technical leadership role requires expertise across MLOps, systems programming, and orchestration to lead a cross-functional team in designing and maintaining the scalable foundation that enables all Zyte teams to build and run their services with confidence.

Requirements

About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

Zyte is seeking an experienced Team Lead to manage our Core & MLOps Squad, responsible for "Building the bedrock infrastructure that powers Zyte at scale." This hands-on technical leadership role requires expertise across MLOps, systems programming, and orchestration to lead a cross-functional team in designing and maintaining the scalable foundation that enables all Zyte teams to build and run their services with confidence.

Requirements

Security DevOps Engineer - Crypto Social Infrastructure

Location: London, New York City (Office)

Compensation: $250K - $300K

We are a high-growth software development company of elite builders and proud contributors to the largest crypto social network globally, a platform that has generated over $600 million in revenue since March 2024. We are seeking a Security DevOps Engineer to join our team, focusing on building secure, scalable infrastructure for decentralized applications and redefining what’s possible in social finance.

You will play a critical, hands-on role in hardening our development and production environments. This role involves integrating security throughout our CI/CD pipeline, automating security scanning and monitoring, and working directly with development teams to ensure a strong overall security posture across our cloud and blockchain infrastructure.

What You'll Do: