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We are a well-funded, early-stage startup, looking for a talented and motivated AI Engineer to join our team. The focus of this role is to develop advanced AI agents aimed at automating and optimizing low-skill human tasks, with a special emphasis on document processing, data extraction, text and email comprehension, and related workflows. You will be responsible for researching, designing, and deploying AI solutions that can replace repetitive manual tasks, improving efficiency and scalability for organizations.

Your Impact
AI Agent Development

Design, develop, and implement AI agents using best of breed LLMs to automate document processing tasks across enterprise workflows.

Workflow Automation

Build machine learning pipelines to automate content-heavy processes for enterprise businesses.

Model Optimization

Fine-tune and optimize pre-trained LLMs to accurately interpret, classify, and process large volumes of documents, improving speed and accuracy.

Collaboration

Partner with product, engineering, and business teams to identify high-value automation opportunities and integrate AI-driven solutions into our operations.

Evaluation & Testing

Develop metrics and conduct extensive testing to ensure reliability and efficiency of the AI systems in real-world scenarios.

We are a well-funded, early-stage startup looking for a Frontend / Fullstack Engineer to join our founding team. In this role, you will help build cutting-edge web applications and platforms that bring autonomous AI agents to life, automating complex enterprise workflows. You will play a critical role in shaping intuitive, responsive UIs and robust backend APIs that connect AI-driven agents to real-world enterprise systems (ERP, CRM, and more).

This is an opportunity to influence the architecture, design, and user experience of next-generation AI-powered automation solutions for large-scale enterprise environments.

Your Impact
Product & Frontend Development

Design and develop modern, intuitive, and responsive frontend interfaces that allow users to interact seamlessly with AI agents and automated workflows.

Create user dashboards, workflow builders, and visualization tools to monitor AI-driven automation in real time.

Collaborate with design and product teams to bring complex AI capabilities into simple and usable UI experiences.

API and Fullstack Engineering

Develop robust backend APIs that connect AI agents to enterprise data sources and external systems (ERP, CRM, document management systems).

Implement REST and GraphQL APIs to expose AI agent functionalities to the frontend.

Handle real-time communication, event streams, and notifications to keep users informed of workflow progress.

AI Integration & Collaboration

Collaborate closely with AI/ML engineers to integrate AI agent outputs into the product, including document processing, data extraction, and decision-making workflows.

Manage and present AI agent-generated data in user-friendly formats and visualizations.

Team Collaboration & Culture

Work closely with AI engineers, product designers, and enterprise customers to align AI capabilities with real business needs.

Participate in code reviews, architecture discussions, and feature planning.

Help shape the companys engineering culture and best practices as part of the founding team.

We are a well-funded, early-stage startup looking for a talented and motivated Backend Engineer specializing in infrastructure to join our founding team. The focus of this role is to build and scale the infrastructure that powers autonomous AI agents automating complex enterprise workflows. You will own the systems, pipelines, and platforms that let our AI agents run reliably, securely, and at scale in production.

Your Impact
Infrastructure & Platform

Design, build, and own the core infrastructure powering our AI agent platform, from data pipelines to production deployment systems.

Build and scale the backend systems that support high-throughput document processing and data extraction workloads.

Cloud Infrastructure and Scalability

Architect and deploy infrastructure on cloud platforms (AWS, GCP, or Azure) with a focus on scalability, reliability, and cost efficiency.

Own containerization and orchestration (Docker, Kubernetes) for all production workloads.

Build and maintain CI/CD pipelines and DevOps practices that let the team ship fast without breaking things.

Data Infrastructure

Design and manage data pipelines to process and analyze large volumes of documents and unstructured data at scale.

Build the infrastructure layer connecting AI agents to databases, vector stores, and enterprise systems (ERP, CRM).

API & Systems Integration

Build and maintain robust, well-documented APIs connecting AI agents with external systems and enterprise software.

Design for reliability: retries, observability, and graceful degradation across distributed systems.

Security and Compliance

Implement authentication and authorization mechanisms (OAuth2, JWT) to secure AI-driven systems.

Ensure compliance with data privacy standards (e.g. GDPR, HIPAA) and drive best practices for secure data handling across the infrastructure.

Monitoring and Optimization

Build observability and monitoring systems to track infrastructure health, performance, and cost.

Continuously optimize system performance for speed, reliability, and cost-efficiency at scale.

Collaboration

Work closely with AI/ML engineers, product, and the founding team to make sure infrastructure decisions support fast iteration and production-grade reliability.

Participate in code reviews, design discussions, and architecture planning to drive infrastructure strategy.

We are a well-funded, early-stage startup building our Founding Solutions Engineering team to help build and own our enterprise customer motion from the ground up. This role is perfect for a hands-on, technically deep builder who thrives in fast-moving environments, enjoys making things work in the real world, and partners closely with founders, Product, and R&D to deploy and scale complex, AI-driven enterprise solutions.

You will own the technical side of the post-sale customer journey, from deployment and integration through adoption, expansion, and ongoing success, while helping define how our delivery function evolves as we grow.

Your Impact
Customer Onboarding & Process Analysis

Engage with customers post-close to understand workflows, operational processes, and deployment requirements.

Translate findings into clear implementation plans for AI-powered solutions.

Data, AI Models & Workflow Development

Partner with customers to assess data readiness and gather inputs for AI workflows.

Configure and integrate AI components into tailored, AI-driven workflows.

Collaborate with R&D to close data gaps and extend product capabilities when needed.

Deployment & Proof of Value

Own end-to-end solution deployment and ensure models meet performance and business value expectations.

Define success metrics and drive adoption post-launch.

Integration, Security & Rollout

Lead integrations with enterprise systems (e.g., Finance, ERP, email platforms), ensuring scalability and security.

Guide customers through security, compliance, and IT approval processes.

Plan and execute rollout to drive smooth implementation and adoption.

we are looking for a Full-Stack Engineer
What you'll do
Design, build, test, and deploy features across the frontend (React + TypeScript) and the backend (FastAPI + PostgreSQL).
Work on what buyers and sellers touch every day - the catalog, the listing wizard, checkout, the seller dashboard, admin tools.
Help build the next phase: hosting and running sellers' apps on our own infrastructure.
Keep the bar high - tests, code review, security-minded by default.

We are looking for a Integration & DevOps Engineer to join our team and support the deployment, integration, testing, and validation of complex software systems in Kubernetes and OpenShift environments.
Responsibilities
Integrate, deploy, and validate software applications in Kubernetes/OpenShift environments.
Troubleshoot application, deployment, and integration issues.
Collaborate with Development, QA, and DevOps teams to ensure successful releases.
Perform system testing, configuration, and software upgrades.
Support production and pre-production integration activities.

we are looking for a Senior Software Engineer.
As a Senior Software Engineer, you will be responsible for designing and building core backend services and product capabilities, working on scalable systems that handle large volumes of security-related data, and developing robust features that improve security posture in cloud environments.
The ideal candidate will have strong software engineering foundations, a product-minded approach, and experience building distributed systems in production.
You will collaborate closely with Product, Research, and Engineering teams to deliver secure, performant, and reliable solutions end-to-end.
You will work within the engineering department, contributing to architecture decisions, improving code quality, scalability, and reliability, while maintaining strong ownership over development and delivery in a fast-paced environment.

We are looking for a Generative AI Engineer to lead our AI efforts end-to-end - from infrastructure and production systems to internal adoption and cross-team enablement.
You will play a significant role in building the world's first Consumer Therapy AI Product (someone said RAG? But we mean a real one that works in production...).
This is a critical role in a high-growth, fast-paced B2C startup, requiring a leader who can advocate for Engineering requirements, tech-debt and best practices while promoting a product-mindset and putting our customers front and center.
About You:
You are a great human being and youre all into teamwork. you care about how people will feel inside the organization and set high standard for culture, professionalism and maturity.
A Doer, hands-on, biased for action and not taking an advisory role. Know how to translate challenges into actions. Able to work both individually and manage multiple priorities while driving others around you for action.
You're a fast learner, jack of all trades, feel comfortable in a fast paced, ever-changing environment. You can break down complex problems into steps and plot clearly how to get from A to Z while having the ability to zoom out and see the bigger picture.
You are an experienced hands on engineer, with proven experience with Developing LLM based products, with a real passion to AI and LLM, eager to learn about very new model and technology in this domain, and have a real understanding of the AI ecosystem

Alice is seeking a highly skilled, resilient, and technical Child Safety Researcher to join our team. In this role, you will be on the front lines of investigating complex online child safety violations, handling sensitive content reviews, and developing technical automations to scale our policy and enforcement operations. This is a high-impact, multi-faceted position that requires blending deep domain expertise in child safety with hands-on scripting and data engineering skills to transform raw queue data into actionable signals and automated review processes.
Key Responsibilities
* Investigate & Evaluate Complex Cases: Review, validate, and adjudicate high-risk, graphic, and sensitive child safety content, navigating nuanced contexts involving legal, medical, or parental scenarios.
* Extract Signals & Insights: Analyze review queues, large datasets, and user-generated content to identify new adversarial shifts, unknown unknowns, and critical keywords that inform policy updates.
* Build Local Automations & Scripts: Design, write, and maintain scripts and local tools to automate review workflows, generate suggestions, and increase overall queue efficiency.
* Policy & Enforcement Collaboration: Translate raw investigation findings into structured intelligence reports and actionable recommendations for client policy frameworks and engineering teams.
* Quality & Model Support: Partner with product and AI teams to label golden datasets, support ML-based labeling QA, and improve automated detection models.

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

We build software products for clients across embedded, IoT, SaaS, AI/ML, e-commerce, mobile, and web. Were looking for a Full Stack Team Lead to own the technical direction of a product team - setting architecture, raising engineering standards, and shipping. Youll lead hands-on: writing code, guiding a small team of engineers, and partnering directly with clients (including large enterprise and banking environments). This is a role for someone who leads by example and treats modern AI-assisted development as a core part of the craft.
What youll do:
Own the technical design and architecture of full stack applications, end to end.
Lead a team of engineers - code reviews, mentoring, and raising delivery quality and velocity.
Stay hands-on: write production JavaScript/TypeScript across the React and Node.js stack.
Drive AI-first development practices (Claude Code, Cursor) across the team.
Work closely with clients and stakeholders to translate business needs into technical solutions.
Uphold engineering standards: testing, CI/CD, code quality, and delivery discipline.

We are looking for a Technical Project Manager with experience in software development projects, to lead and manage projects in a dynamic Agile environment.
What Youll Do:
Plan and manage software development projects, timelines, and resources.
Collaborate with R&D, DevOps, and product teams to ensure smooth execution.
Track progress using JIRA and other project management tools.
Oversee risks, budgets, and reporting to stakeholders.
Improve project management processes and Agile methodologies.
Ensure project delivery aligns with business goals and technical requirements.
Join us and drive innovation in software project management!

We build software products for clients across embedded, IoT, SaaS, AI/ML, e-commerce, mobile, and web. Were looking for a Senior .NET Backend Engineer to join a strong, high-bar team building high-performance, secure .NET services. Youll be a hands-on contributor - designing and writing production backend code, shaping technical decisions alongside your teammates, and delivering for clients (including large enterprise and banking environments).
What youll do:
Design and build robust, high-performance, secure backend services in C# / .NET.
Contribute to backend architecture and technical decisions alongside the team.
Design and document APIs (Swagger / OpenAPI) for clean, well-versioned integrations.
Take part in code reviews and help uphold the teams engineering standards.
Drive performance, reliability, and secure-by-design practices in your code.
Contribute to build, packaging, and deployment so releases are repeatable and reliable.

We're backed by tier-1 global VCs, led by second-time founders, and moving fast because the problem demands it. There are no silos here. No "that's not my area." If it ships, you own it.
We're hiring a full-stack software engineer who wants end-to-end ownership - backend, frontend, infrastructure touchpoints, and AI-driven workflows.
If you're looking for narrow scope or strict boundaries, this is not the role. If you like building real systems and taking responsibility for outcomes, read on.
What you'll do:
Own systems end-to-end - infrastructure, pipelines, and their behavior in production
Run and evolve our cloud infrastructure - Kubernetes, Kafka, Terraform, GitOps (AWS today, multi-cloud ahead)
Build the data backbone - ingestion, streaming, and pipelines into our lakehouse that stay correct and affordable as volume grows
Build AI-native engineering workflows: Sandboxes and dev environments, Automated verification and guardrails, Feedback loops that keep quality up as output scales.
Build golden paths - repo to production without a human bottleneck
Use Claude / Codex / AI copilots as default tools - not optional helpers
Debug production issues across the stack (no handoffs)
Ship fast, learn fast, fix fast
Take responsibility for what you build - including after it's live

We build software products for clients across embedded, IoT, SaaS, AI/ML, e-commerce, mobile, and web. Were looking for a Senior Software Development Manager to lead the multidisciplinary engineering teams on a major engagement end to end - owning delivery, raising the technical bar, and being the person who steps in when things get hard. Youll manage tech leads and engineers across the stack, partner with product and client stakeholders (including large enterprise and banking environments), and keep a complex program on track. This is a role for a hands-on leader with a strong technical background who can move fluidly between technical, product, and project-level problems and resolve them professionally.
What youll do:
Own end-to-end delivery of a multidisciplinary program - plan, staff, and drive execution against scope, timeline, and quality.
Lead and grow the engineering organization: manage tech leads and engineers across frontend, backend, and QA; hire, mentor, and set standards.
Dive into technical, product, and project-level problems as needed and drive them to professional resolution - youre the escalation point, not a bystander.
Own the software development methodology and delivery cadence, including estimation, sprint planning, risk management, and reporting.
Partner directly with client stakeholders and executives to align on goals, manage expectations, and report progress with clarity and confidence.
Collaborate with architects and product on scope, HLD, and roadmap; translate business goals into a realistic delivery plan.
Track and report delivery health - velocity, quality, risk, and budget - and keep senior stakeholders informed.