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we are looking for a Full-Stack Engineer.
Shape the developer-facing surfaces - the CLI, dashboard, App Builder, and documentation. You will own full features from design to production across TypeScript, React, and Go.

Morning is looking for a Junior Developer to resolve ongoing issues across our FinTech system and to take part in ongoing data and monitoring tasks. This role is hands-on execution: you will receive defined issues and take them through to a working solution and release. You'll do this work with our proprietary AI development agents, the main tools for the job: you will use them to work through issues and ship solutions quickly. What You'll Do
* AI-Powered Issue Resolution: Take defined issues and see them through to a working solution using our proprietary AI development agents- implementation, testing, and release.
* Data & Monitoring Tasks: Take part in the ongoing data and monitoring tasks that keep our SaaS platform running smoothly. Why Join Us
* Learn from Experienced Engineers: Join a collaborative team of experienced engineers who work closely together, share knowledge, review code, and support each other.
* Grow with the Role: Start by building hands-on experience with our systems and gradually take on more complex development challenges as your skills grow.
* Modern Technology & AI-Driven Development: Work with modern, industry-leading technologies and AI-powered development tools, gaining practical experience with the way software is being built today.
* Make an Impact: Write code that runs on a platform trusted every day to process critical financial data, where quality, reliability, and security matter.


Advantages:

* Experience with monitoring and observability tools, log analysis, automated testing, or performance work.

we are looking for a ML Engineer.
Own the model plane end to end - vLLM inference, fine-tuning (GRPO/RL and LoRA), and the evaluation-and-promote pipeline that takes an owned model from checkpoint to production serving. We train and serve our own models on GPUs in our own cluster.

we are looking for a Infrastructure / Platform Engineer.
Build and scale the infrastructure layer behind every service - EKS orchestration, Pulumi IaC modules, Helm chart automation, and the observability stack that keeps the platform trustworthy.

we are looking for a Developer Experience Engineer.
Own the surfaces developers touch every day - the riven CLI, our SDKs, the Electron desktop IDE, and the docs. Make the path from zero to a deployed app feel effortless.

Design and build the infrastructure and interfaces that power context-AI platform, owning features end to end, from technical design through production.
What you'll do:
Design, implement, and scale data-intensive processing pipelines and core platform architecture.
Develop and scale the backend infrastructure behind our context-AI capabilities and production apps.
Build and maintain intuitive interfaces for complex data visualization and interaction.
Optimize performance across distributed systems, databases, and cloud architectures.
Own the full feature lifecycle: technical design, deployment, and monitoring.
Lead technical initiatives, shape the product roadmap, and mentor junior engineers.

We are looking for a Hands-On Software Architect to join our architecture group and work alongside some of the most experienced engineers in the industry.

As a Hands-On Architect, you will actively design, build, and evolve large-scale software systems, set technical direction, and work day-to-day with development teams, product, and other stakeholders to deliver reliable, scalable solutions.

Your focus will be to champion Foundry Projects born in the CTO office. Imagine shaping the architecture of multiple 'internal startups,' aligning them with the ecosystem while charting a strategic path to production. You will balance the urgency of moving fast with the foresight to build 'right and smart,' ensuring these innovations are ready to scale the moment they hit our core environment.

What Youll Do
Lead the design and implementation of complex, distributed software systems in production.
Work closely with developers, product owners, and stakeholders to translate business needs into practical, scalable architectures.
Define and drive engineering standards: architecture patterns, coding standards, testing strategies, and operational best practices.
Stay hands-on: write code, review code, and participate in technical problem-solving across teams.
Mentor and coach developers and tech leads, raising the overall technical bar.
Review designs and implementations to ensure solutions are high-quality, maintainable, and resilient.
Continuously evaluate new technologies and approaches, recommending improvements where they provide clear value.
Be involved in production systems: deployments, observability, performance tuning, and incident analysis.

In this role, the support engineer will resolve technical cases created by customers looking for help to understand or troubleshoot unexpected behaviors or to answer technical questions about the ServiceNow software and platform.

A successful candidate will be committed to providing amazing customer support experiences, using skills that include building trust, showing empathy and excellent communication to answer customer questions and resolve issues through various technologies including web, chat, email, case updates, as well as direct telephone support.

Understanding the ServiceNow platform and all core functionalities will be essential while employing various diagnostic tools to isolate the potential cause of the issue. The engineer is expected to diligently manage and resolve challenging issues assigned to them but may need to coordinate assistance from additional teams for more complex cases. As such, creative problem solving, a collaborative nature and flexibility will be key to your success.

Lastly, support engineers also play a key role in providing input across business units regarding process and product improvements due to their unique perspective when working on technical issues for customers.

We are looking for an AI (vision) Researcher.

As part of the team you will:

Develop novel solutions for retinal screening, spearheading healthcare accessibility.

Help prevent blindness worldwide.

Join a leading company with unique FDA approved products.

Learn from top ML researchers in the field.

As a AI-Data Engineer, youll take a leading role in building the foundation of our companys Agentic Exposure Management platform: the source of truth that tells a security team what they have, whats actually risky and why, how to fix it, and who is responsible.
Enterprises run their security across a sprawl of cloud and on-prem tools. Making sense of that sprawl is the heart of what we do. Were building a complex data fabric that reconciles data from a hundred different sources, applies sophisticated transformation and enrichment, and turns partial, uncertain signal into one trustworthy model of an organizations real exposure.
Key Responsibilities:
Model the security graph. Design an ontology that spans both the modern cloud and the classical on-prem world, abstract enough to absorb 100+ different integrations under one model, yet rich enough to carry everything needed for decision making. Decide whats an entity, whats an edge, and whats a denormalized attribute, across millions of assets and finding rows.
Own asset identity engineering and reconciliation. Upstream identifiers are uncertain and volatile. Engineer deterministic identity resolution for assets and findings arriving from different vendors.
Build LLM-based and agentic pipelines for data classification, entity extraction, and enrichment, optimizing for cost, latency, and precision in production.
Build the integration factory. Stand up a scalable integration platform that drives down time-to-integration.
Build and maintain complex ETL pipelines handling millions of records: incremental sync, complex correlation, and data quality observability and monitoring.

As a Full Stack Engineer, youll help shape the brain and heartbeat of our product. This isnt a narrow coding role, youll own problems end-to-end, from first sketch to shipping, and watch your work come alive in production within weeks. Youll join a tight, ambitious team where every engineer helps define both the product and the culture.
What youll do
Work across the stack, from frontend polish to backend resilience.
Collaborate with product and design to shape features, not just code them.
Ship fast, ship often, and still take pride in craft.
Explore and integrate advanced AI (LLMs, GenAI) into a production-grade product.
Turn customer feedback into product improvements that stick.
How we work
In-office, side-by-side, with quick feedback and faster shipping.
Pragmatic and product-first: no feature ships unless it makes a real impact.
Supportive but demanding: we hold a high bar and help each other reach it.
The tools we use (today - youll help shape tomorrow)
Powering the logic that makes hardware data come alive in our backend is Python. On the frontend, React and TypeScript give users a simple, intuitive way to work with complex information. Everything runs in the cloud - AWS and GCP - with containerized microservices (and Kubernetes keeping the gears turning smoothly) ensuring we can ship fast and scale seamlessly. For intelligence, we weave in LLMs and data pipelines to unlock insights from documents. And for resilience, our real-time monitoring keeps an eye on the moving parts - so the system stays as reliable as the products it supports.

We are seeking a Senior Backend Engineer with deep backend engineering expertise and proficiency in one or more major programming languages (e.g., Python, Java, Go, Rust, or Kotlin), along with a strong understanding of AI models and agents. As a core member of our AI Engineering team, you will collaborate with data scientists, ML engineers, and product managers to build scalable, production-ready infrastructure and APIs that power intelligent systems.

What you'll be doing:
As a Senior Backend Engineer in the AI Engineering team, you will:
Build and maintain reliable, scalable backend services to support AI agent execution and orchestration.
Develop AI agent systems for complex operational workflows using LangChain, LangGraph, LiteLLM, and Langfuse.
Orchestrate a hybrid model stack that includes OpenAI and Google Gemini alongside self-hosted and fine-tuned LLMs like Gemma and Llama.
Build and maintain integrations with clinical systems (FHIR, EMR).
Drive observability and reliability using OpenTelemetry, Datadog, and Langfuse.
Design APIs (GraphQL, REST), background workers, and event-driven systems that interface with AI inference engines and agent runtimes.
Collaborate with Data Science, ML, and engineering teams to deploy AI features and improve the performance, scalability, and reliability of backend systems.
Participate in code reviews, knowledge sharing, and mentoring to elevate the teams technical capabilities.

We are looking for an experienced clinician to serve as the medical voice inside our AI organization. In this role, you will work shoulder-to-shoulder with AI researchers, product managers, clinical managers, and external partners to shape clinical AI products that are safe, useful, and genuinely valuable to patients and care teams.

You will act as the bridge between medicine and AI research - bringing deep clinical judgment to the design, evaluation, and continuous improvement of AI systems that touch real patient care. This is a hands-on, cross-functional role for someone who is as comfortable dissecting a model's clinical failure modes as they are defining the next product opportunity.

What you'll be doing
Partner directly with AI researchers as the resident domain expert, contributing clinical insight throughout the development of innovative clinical AI products - from framing the problem to validating the solution.
Design and lead the clinical evaluation of AI products, defining what "good" looks like from a medical standpoint and rigorously assessing model outputs for safety, accuracy, and real-world clinical value.
Serve as the medical product owner, working alongside product managers, clinical managers, the CMO, and external partners to identify unmet needs, surface gaps, translate clinical requirements into product specifications, and derive new features from them.
Ground product and research decisions in clinical reality, ensuring that what we build fits how medicine is actually practiced and improves outcomes for patients and clinicians.
Communicate clearly across disciplines - translating clinical nuance for technical teams and technical trade-offs for clinical and business stakeholders.

We are seeking an IC Product Engineer to drive silicon validation, yield optimization, and product maturity from initial tape-out through high-volume manufacturing. In this role, you will act as the technical bridge between Design, Test, Quality, and Foundry/OSAT partners. Youll leverage advanced statistical analysis to convert complex ATE data into actionable yield and quality improvements.ng requisitions 'from scratch'

Responsibilities
Yield Learning & Optimization: Drive wafer-level and final test yield enhancement programs. Identify root causes of yield drop, parametric shifts, and low-yield excursions across multiple manufacturing lots.
Data Analysis & Reporting: Use JMP, Spotfire, or similar statistical tools to analyze large-scale ATE data (STDF), perform correlation analysis, establish guard bands, and track yield metrics across OSATs and foundries.
Silicon Validation & Characterization: Partner with Design and Test teams to define characterization plans, perform shmoo plot analysis, evaluate thermal/voltage margins, and establish production test limits.
Production & OSAT Support: Support offshore manufacturing, review yield baseline shifts, drive continuous improvement programs (CIP), and manage product hold disposition rules.
Quality & Reliability: Assist Failure Analysis (FA) and Reliability teams in investigating customer returns (RMA), qualifying new packages/process nodes, and supporting ESD/HTOL/HAST qualification tasks.

Were looking for a talented Radar System Integration Engineer to join our innovative System Engineering group.

Responsibilities
Integrate multidisciplinary full radar system including HW Platform, ASIC, RFIC, SW, ALGO.
Troubleshoot and debug ARBE's Radar, ASIC and FPGA platforms.
Define, implement and execute acceptance tests plans, procedures, and reports.
Define new features and HW requirements for full system optimization.
Simulate and analyze mix signals system data.
Validate system performance.