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we are looking for a UX/UI Designer.
What You'll Do
- Own end-to-end design - research, flows, wireframes, hi-fi, prototypes, handoff, QA.
- Evolve the design system - components, tokens, patterns, motion.
- Design the AI-Worker experience - plans, steps, approvals, explainability, error states, trust signals.
- Run usability testing with real customers (operators, not designers).
- Partner daily with PMs and engineers; push back when the tradeoff is wrong.
- Contribute to brand and marketing surfaces when needed.

we are looking for a AI Engineer (Mid-Senior).
What You'll Do:
- Build and harden AI Workers for real enterprise workflows - procurement, finance, HR, sales, risk, integration.
- Own the MCP connector framework - reusable tool servers that power every AI Worker.
- Design multi-step agentic flows with planning, reflection, retries, approvals, and clean failure modes.
- Ship evaluation suites that catch regressions before customers o.
- Instrument cost, latency, and reliability; drive them down relentlessly.
- Partner with Product and Solutions to ship features that survive contact with enterprise reality.

we are looking for a Automation Architect.
What You'll Do:
- Architect complex multi-system automations - OCR pipelines, Priority ↔ Salesforce sync, multi-carrier shipping, e-commerce ↔ ERP invoicing, reconciliation flows.
- Lead technical scoping for large Professional Services engagements.
- Build reusable process blueprints (we already have 116; you'll add the next 30).
- Troubleshoot the hardest production incidents - data, timing, auth, edge-cases in legacy systems.
- Mentor the PS team; review workflow designs; raise the architectural bar.
- Close the loop with Product on connector gaps, platform limitations, and feature requests.

we are looking for a Frontend Engineer.
What You'll Do:
- Build and evolve the Workflow Builder, Tables, and App Maker UIs - visual, drag-and-drop, real-time, collaborative.
- Design and ship the Gini AI Worker dashboards - run visualization, step traces, approvals, cost tracking.
- Own performance - sub-second interactions, optimistic updates, virtualized lists, edge-first rendering.
- Partner tightly with design + product on component systems, accessibility, and motion.
- Contribute to our design system - reusable, themable, keyboard-first.

we are looking for a Machine Learning Engineer.
What You'll Do:
- Design and ship the ML backbone of Gini AI Workers - routing, tool selection, reasoning, memory, evaluation.
- Build evaluation and feedback loops - offline evals, online A/B, regression harnesses, human-in-the-loop labeling pipelines.
- Optimize cost and latency across the agent stack: prompt engineering, model routing (frontier ↔ small ↔ fine-tuned), caching, speculative decoding, distillation.
- Fine-tune and/or RAG-tune models for vertical enterprise tasks (invoice extraction, PO matching, ticket triage, forecasting).
- Own the ML infra - training pipelines, experiment tracking, model registry, deployment, monitoring, drift detection.
- Partner with backend + product to turn research into shipped features on a weekly cadence.

we are looking for a Solutions Architect.
What You'll Do:
- Own end-to-end solution design for enterprise deals - from first discovery call to signed SOW to production handoff.
- Lead technical discovery with CIOs, CTOs, and IT leads. Map their current stack (Priority / SAP / NetSuite / Salesforce / custom) and design the Engini blueprint.
- Architect multi-system integrations - ERP ↔ CRM ↔ e-commerce ↔ shipping ↔ AI Workers - using Engini's MCP-native connector framework.
- Run live technical demos and POCs that prove value in days, not months.
- Partner with Sales on pricing, scoping, and risk assessment; be the "technical closer" on 6-7 figure deals.
- Partner with Product - bring real-world field signals back and influence the roadmap.
- Mentor the Professional Services team on architectural patterns and reusable process blueprints.

We are looking for an AI Engineer to build the backbone of our autonomous security platform.
our company builds AI Digital Employees who help cyber teams close the execution gap. Our first AI Digital Employee, Alex, learns, understands and takes away the burden of Identity and Access Management (IAM) tasks - proactively completing the organization's cyber objectives.
About the Role:
Youll design, build, and ship the AI systems behind Alex: production agents that reason over customer identity data, call real tools, and complete IAM tasks end to end. Starting from a cybersecurity need, youll frame the technical problem, choose an approach, and own the solution through production: architecture, implementation, evaluation, deployment, and iteration on real customer behavior.
Youll build on our companys shared agent infrastructure and extend it: new tools and integrations, workflow orchestration, context and memory management, evaluation harnesses, and the guardrails that keep an autonomous agent safe inside a customers environment.
This is a hands-on engineering role, not a research position. The goal is not to prove that an idea can work; it is to make it useful, reliable, and observable for customers in production.
What You'll Do:
Design, implement, and ship AI-powered features for complex cybersecurity workflows, from prototype to production.
Build the systems that make agents work in practice: tool integrations, planning and orchestration logic, context management, structured outputs, and recovery from failures.
Choose the right technical approach for each problem, combining models, deterministic logic, data, and conventional software where appropriate.
Define quality for each use case and build the evaluation pipelines that measure correctness, task completion, consistency, safety, latency, and cost, and wire them into CI and release.
Debug agent behavior in production: trace failures to their root cause in the prompt, tool, data, or architecture, and fix it.
Own the reliability, observability, and cost of the agent systems you build.
Collaborate with cybersecurity experts, product, and platform engineers throughout development.

We are looking for an experienced Backend Engineer to help build the core infrastructure behind our company's agentic AI system.
our company builds AI Digital Employees who help cyber teams close the execution gap. Our first AI Digital Employee, Alex, learns, understands and takes away the burden of Identity and Access Management (IAM) tasks - proactively completing the organization's cyber objectives.
About the Role:
We are looking for a strong Backend Engineer with 5+ years of experience to help build the core infrastructure behind our company's agentic AI system. This is not another workflow tool: we are building something new, in a category that does not really exist yet. You will work on the services, orchestration, integrations, data models, retrieval layers, guardrails, and evaluation infrastructure that let AI agents reason over enterprise context and take reliable action.
This role is deeply product-facing and infrastructure-heavy. Our customers are large enterprises that manage tens of thousands of identities, so the systems we build need to be secure, observable, reliable, and able to operate at real scale.
What You'll Do:
Build production backend services in Python that power our company's agentic AI platform.
Design and implement AI-agent orchestration, tool-calling infrastructure, workflow execution, guardrails, and evaluation loops.
Integrate with enterprise applications, identity providers, SaaS tools, and customer data sources so agents can understand context and execute tasks safely.
Build systems that ingest, model, and reason over organizational processes, permissions, policies, and internal knowledge.
Solve scale and reliability challenges for large enterprise environments with tens of thousands of identities.
Collaborate closely with product, AI, and customer-facing teams to turn ambiguous business processes into reliable automated experiences.
Own reliability, observability, performance, and security for production systems.

We are looking for a Software Engineer - Customer Solutions to help customers successfully integrate, configure, and deploy our platform. You will work directly with customers to understand their technical requirements, build integrations, and troubleshoot issues across APIs, data, authentication, and enterprise systems.
This role is ideal for someone who enjoys combining hands-on engineering with customer interaction. We are looking for strong technical fundamentals, curiosity, clear communication, and a practical approach to solving real-world problems.
What Youll Do:
Work directly with customers to understand their technical workflows and integration needs.
Build and configure integrations between our platform and customer systems.
Develop backend services, scripts, APIs, data transformations, and automation workflows.
Investigate technical issues involving APIs, databases, authentication, customer data, and infrastructure.
Participate in customer implementation meetings and help translate business requirements into technical tasks.
Test, deploy, monitor, and support customer-facing solutions.
Document integrations, troubleshooting steps, and implementation decisions.
Work closely with senior engineers and product teams to turn customer-specific needs into reusable capabilities.
Gradually take ownership of increasingly complex customer projects.

Were looking for a strategic and execution driven Senior Product Manager to join our team. You will own the product lifecycle from discovery to delivery, working closely with engineering, research, and go to market teams to shape and deliver our next generation cybersecurity platform. This role is ideal for someone with deep B2B cybersecurity expertise who can translate customer pain points into impactful product capabilities while navigating the fast moving dynamics of an early stage startup.
What Youll Do:
Define the product vision and roadmap based on market trends and competitive landscapes, not just a list of features.
Own the end to end user journey. Translate complex cybersecurity workflows into a clean, customer-facing interface that simplifies the users life.
Tackle deep technical challenges (AI agents, cloud environments) and distill them into clear, actionable product requirements and value propositions.
Work closely with R&D to deliver high quality releases in a fast paced startup environment.
Collaborate with large B2B enterprise customers to validate needs, ensure adoption, and build a product that sells itself through value and ease of use.

We're looking for a sharp, curious Junior AI Security Researcher to join the team at the beating heart of our Autonomous Attacker. Our platform is powered by AI agents running real attacks against real environments every day: Web, Internal Networks, External Networks, Cloud. You'll work hands-on with AI and data at every layer of our platform, learn the system deeply, and help push it forward on whatever front moves the needle most. This is a rare entry point into both offensive security and applied AI. No prior cyber background required, just a sharp analytical mind, obsessive attention to detail, and the courage to chase a question until it answers back.
What You'll Do:
Work hands-on with the AI agents at the core of our platform: study their behavior, their reasoning, their data, and the environments they operate in.
Mine large volumes of AI-generated data to surface patterns and opportunities that only show up at scale.
Use AI as your own force multiplier: write prompts, build evals, cluster findings, and move faster than humanly possible.
Experiment with prompt engineering, fine-tuning, model selection, and agent architecture to push the platform further.
Translate what you find into concrete improvements: write specs, open PRs, and ship them. You may well touch production code.
Push things forward. Pull the right people into the room, ask the "stupid" questions, and never let a thread die.

Join our company as a DFT Engineer, where you will lead the design for testability (DFT) efforts to ensure optimal manufacturing and quality assurance processes for complex electronic systems.
Responsibilites
Implement DFT methodologies to improve the testability and manufacturability of electronic products and PCB assemblies.
Review schematics and PCB layouts, ensuring compliance with DFT guidelines and recommending improvements for enhanced test coverage.
Collaborate with hardware design teams to integrate DFT solutions during product development.
Perform test coverage analysis using TestWay or similar tools, define test point requirements, identify coverage gaps, and provide recommendations to development teams.
Define and maintain manufacturing test strategies, including ICT, Flying Probe, Functional Testing, and Boundary Scan (JTAG).
Develop, configure, and execute JTAG/Boundary Scan tests and create test programs for validation and production environments.
Lead test pattern generation, validation, and troubleshooting activities to ensure efficient and reliable testing.
Analyze and resolve DFT-related issues throughout development, validation, and production phases.
Define requirements for Automated Test Equipment (ATE) and support the deployment and maintenance of production test systems.
Provide technical leadership and mentorship to engineers while driving continuous improvements in testability and manufacturing processes.

We are looking for a Senior DevOps Engineer to join our DevOps team at our company. You will own and evolve the infrastructure underpinning a healthcare AI platform serving patients and enterprise health system partners. This is a high-ownership role: you will architect and operate cloud environments across our company and its enterprise partners, lead complex infrastructure migrations, drive disaster recovery programs, and help build the next generation of AI-powered operations tooling. You will also mentor junior engineers and collaborate closely with product and engineering teams across the company. This is a hybrid role based in New York City (4 days/week in office) and includes participation in a daytime on-call rotation.

What you will do:
Own the design, implementation, and evolution of our GKE-based Kubernetes infrastructure across our company and enterprise partner environments.
Build and maintain our Terraform modular infrastructure library, including reusable modules with automated testing, across GCP, Cloudflare, and AWS.
Architect, build, and maintain GitLab CI/CD shared pipeline templates used by all engineering teams (build, test, security scanning, deployment).
Own and maintain self-hosted infrastructure software running in-cluster, including GitLab, ArgoCD, Langfuse, DependencyTrack, NGINX Ingress, and others.
Implement and support security and compliance controls across infrastructure and the software supply chain - secrets management, pipeline secret detection, container scanning, SOC2 and HIPAA.
Drive disaster recovery readiness: design failover scenarios, author runbooks, and lead periodic DR tests.
Lead development of AI-powered operations tooling and agentic infrastructure.
Monitor, troubleshoot, and improve production system reliability; respond to incidents during on-call shifts.
Mentor junior DevOps engineers and establish team-wide engineering standards.

we are looking for you - highly motivated and passionate, Program Manager experienced in leading multidisciplinary programs/projects with experience in Defense and Aerospace products.
Join our family and become part of the future communication, be challenged and driven by incredible products and team. We take pride in our commitment to employee development, and our culture fosters an atmosphere of empowerment, trust, respect and communication. Learn more about our mission, vision and values.
Responsibilites
Leading the program according to the customer contract.
Overall responsibility of all Contractual aspects.
Managing several projects in parallel - different requirements, use cases and customers.
Managing the Customer throughout the Program (communication & interface).
Managing multidisciplinary program team in a matrix environment.
Owning and Managing the Program budget, revenue and cash flow.
Managing the Program schedule, Coordination between the different teams operations, planning, purchasing and R&D.
Proven expert in On-Time delivery.
Managing risks and creating mitigation plans for removing roadblocks.
Participation in Pre and Post-Sale activities. Understanding customer requirements and needs.
Regular and timely reporting of program progress to upper management.
Evolve current release and development processes to be more efficient and with higher quality.
Be a key player in the organizational roadmap definition.

Join our company as a Student for the QC Team and gain practical experience in quality control, inspections, calibration activities, and quality processes within a multidisciplinary engineering environment.
Responsibilites
Lead and manage in‑process and final QC inspection activities, including supervision and professional development of QC staff.
Support and maintain the Quality Management System (QMS) in accordance with company and regulatory requirements.
Responsible for calibration management of our company equipment.
Manage employee certification processes (internal and external) and develop annual training plans.
Lead and support continuous improvement initiatives in collaboration with Operations teams.
Review and approve ECO / MCO / ATP / ATR / production documentation, and waivers related to R&D and Engineering.
Lead customer complaint investigations using structured methodologies (8D, RCCA, etc.).
Plan and perform internal quality audits.
Support and participate in external quality audits and certifications (customers, FAA, CAAI, SII, etc.).
Perform and approve First Article Inspections (FAI) in accordance with AS9102.
Monitor failures and ensure effective follow‑up of corrective and preventive actions (CAPA).
Analyze quality trends and performance indicators (Quality Yield, KPIs).
Manage RMA processes and perform quarterly quality data analysis for QBRs.
Prepare Quality Plans (QP) and Quality Improvement Plans (QIP).