דרושים » AI » ERP and GenAI Tech Specialist

We're looking for an Autonomous Product Manager to supercharge efficiency across internal teams. If you love turning messy, multi-team processes into elegant, automated workflows with GenAI and agentic systems and you enjoy shipping pragmatic solutions that measurably reduce cycle time and operational cost this role is perfect for you.

In this role you'll:
Own cross-company automation initiatives end-to-end from discovery and scoping through MVP, rollout, and continuous improvement

Map complex processes and identify leverage points for automation and assisted workflows

Leverage GenAI and automation platforms (like n8n) to build and deploy agent-based products, taking them from concept to full production

Operate in a microsquad leveraging existing platforms and your hands-on skills to deliver products from early POC to working solutions in production

Instrument everything define baselines, ship dashboards, and track impact (hours saved, cycle time, accuracy rates, SLA adherence, auditability)

Shepherd change management with stakeholders through crisp docs, training sessions, feedback loops, and landing new ways of working

Partner deeply with engineering, data, and design teams to prioritize the highest-ROI bets and de-risk launches

Being a Bobber is all about being you. We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If thats bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, were waiting with open arms. Come join us.
The Role
Were looking for a FinOps Lead to own the bridge between Finance and Technology. Youll set direction, translate business goals into scalable systems, and drive delivery across Finance, MIS, BI, PMO, and Product/Engineering.
What youll do
Translate strategy to systems: Turn business needs into crisp, testable requirements, data models, and acceptance criteria.
Lead delivery: Drive projects end-to-enddesign, build, UAT, cutover, and post-go-live stabilization. Hold owners to dates and quality.
Level-up financial systems: Partner with MIS/BI to optimize the financial operations stack improving connectivity, automation, and accuracy across core systems supporting quote-to-cash and record-to-report.
Improve processes: Remove manual work, reduce defects, and increase automation across billing, revenue, collections, and reporting.
Strengthen controls: Design preventative/detective controls, segregation of duties, and audit-ready documentation (SOX/ASC 606).
Change management: Build training, run enablement, and communicate changes that stick across global teams.
Scale for growth: Support M&A integrations, new products/pricing, and geographic expansion with resilient data and process design.
Partnerships and revenue share: Support financial operations for partner-driven revenues and revenue-sharing models, ensuring accuracy and compliance.

As part of the GenAI Protect group at our company, youll join a pioneering team building cutting-edge security solutions for the new world of AI-driven workflows, and protect organizations from risks introduced by generative AI tools across browsers, desktops, and managed control points.
Youll play a critical role in designing and scaling the cloud infrastructure that powers GenAI Protect, ensuring reliability, performance, and secure operations at scale.
This position is ideal for an experienced DevOps engineer who thrives in fast-paced, innovation-driven environments and wants to shape our companys next-generation security platform.
Key Responsibilities
Design, implement, and maintain CI/CD pipelines across multiple teams.
Architect secure, scalable infrastructure on AWS (EKS, ECS, EC2, RDS, CloudFront, IAM).
Automate provisioning using Terraform, CloudFormation, and GitOps.
Implement observability, logging, and alerting best practices (Prometheus, CloudWatch, ELK).
Drive reliability, scalability, and cost efficiency across environments.
Mentor engineers and establish DevOps culture and practices.

We are seeking an experienced Backend Engineer to join Evinced and play a key role in evolving our GenAI-driven products that expose and deliver capabilities to customers.

In this role, you will design, implement, and maintain high-quality backend services that power AI-based interfaces such as MCP, Slack/VS Code chatbots, agents, and additional automation tools, ensuring seamless access to tools and features.

You will be responsible for building reliable and scalable systems that enable developers and accessibility experts to easily leverage technology and gain actionable insights for improving the accessibility of their code.

Your Impact:

Research and implement industry-leading technologies into our technology stack.
Design and implement scalable solutions to enhance the product architecture.
Plan and execute complex, distributed, large-scale software delivery systems.
Monitor and optimize all aspects of product performance.
Troubleshoot issues across various services and functional areas.

Were looking for an experienced Senior Mac Agent Tech Lead to join our GenAI Protect Core Platform team building the foundation of our companys next-generation AI Security platform.
Youll design and evolve deep OS-integrated protection technology that enables real-time, intent-aware defense for modern AI and data-driven environments.
AI Security, Redefined: Develop protection logic and system instrumentation that safeguard the new generation of GenAI workloads.
Engineering at Depth: Work close to the OS and hardware layers, delivering low-latency, resilient protection services.
Cross-Disciplinary Impact: Collaborate with AI, backend, and data platform teams to make protection autonomous, adaptive, and intelligent.
Trusted Scale: Operate with startup speed and creativity, backed by our companys global leadership in cybersecurity.
Key Responsibilities
Lead development of macOS agent components proxy, MCP, kernel/system extensions, and installers.
Design advanced telemetry and behavioral hooks to support AI-driven insights.
Ensure parity and interoperability with the Windows agent platform.
Implement anti-tampering and secure communication layers.
Set architectural standards and mentor engineers across cross-platform efforts.

Were looking for a Product Designer who thinks, works, and designs with AI. Someone whos not just excited about AI-powered features but already uses AI tools in their daily design workflow.

This is a unique opportunity to design GenAI-based features and products while shaping the future of inclusive AI experiences.

Your role: building AI-powered, human-centered experiences

You own the design of AI-powered features and end-user experiences across our products, with a focus on usability, clarity, and impact
You use AI tools (like ChatGPT, Figma Make, Cursor, Bolt, Loveable.ai, Base44 and more) as part of your daily creative process from ideation and wireframing to content generation and design optimization
You collaborate with product managers, engineers, and data or ML teams to create smart, intuitive, and accessible interfaces that are built on AI capabilities
You translate PRDs and GenAI feature specs into experiences that feel simple, safe, and empowering even when the underlying tech is complex
You push boundaries actively experimenting with what AI can enable in product design, both in terms of user experience and your own internal workflows
You combine human-centered thinking with machine-enhanced creativity, constantly exploring ways to improve speed, insight, and output quality using AI
Bonus if you can demonstrate initiative in developing internal tools or plugins that improve design workflows for example: building custom Figma plugins, prototyping with APIs, automating QA tasks, or building mini apps for internal collaboration

Were looking for an experienced Senior Windows Agent Tech Lead to join our GenAI Protect Core Platform team building the foundation of our companys next-generation AI Security platform.
Youll design and evolve deep OS-integrated protection technology that enables real-time, intent-aware defense for modern AI and data-driven environments.
AI Security, Redefined: Develop protection logic and system instrumentation that safeguard the new generation of GenAI workloads.
Engineering at Depth: Work close to the OS and hardware layers, delivering low-latency, resilient protection services.
Cross-Disciplinary Impact: Collaborate with AI, backend, and data platform teams to make protection autonomous, adaptive, and intelligent.
Trusted Scale: Operate with startup speed and creativity, backed by our companys global leadership in cybersecurity.
Key Responsibilities
Own design and development of Windows agent components proxy, drivers, MCP, protocols, installer.
Build resilient, secure, and high-performance agent infrastructure.
Implement anti-tampering, hooking, and secure communication mechanisms.
Collaborate closely with backend and AI teams to enable adaptive, intent-aware telemetry.
Conduct design reviews, mentoring, and deep performance tuning.

The GenAI team builds conversational experiences that feel human and decision engines that learn on their own. If moving from prototype to production with millions flowing through it gets you buzzing, keep reading.

In this role you'll:
Design, build, and own end-to-end Generative-AI services from first prompt to production rollout

Combine retrieval-augmented generation (RAG), function calling, and agents to automate underwriting, claims, and customer support flows

Fine-tune open-source and commercial LLMs on proprietary datasets, evaluate with both offline benchmarks and online A/B tests

Collaborate with product, data science, and design to invent new AI-first customer experiences (and kill the bad ones fast)

Build scalable APIs and micro-services (TypeScript/NestJS or Python/FastAPI) running in Kubernetes on AWS

Instrument, monitor, and continuously improve model quality, latency, and cost you ship it, you own it

Mentor fellow engineers on GenAI best practices: prompt engineering, vector search, safety & guard-rails

Contribute to internal tooling that automates the boring stuff (CI/CD, sandbox environments, branch deploys)

We are looking for a forward-thinking Data Scientist with a passion for Generative AI (GenAI) and emerging AI technologies. This role is ideal for those who thrive in rapid prototyping, proof-of-concept (PoC) development, and iterative experimentation. You will work across multiple projects, transforming innovative ideas into practical AI solutions while engaging with clients for feedback and improvement.

Responsibilities
Generative AI Innovation & Research: Design PoCs with LLMs, RAG, RL, and agent-based AI. Apply emerging AI methods to real-world business needs.
Prototyping & Implementation: Translate research into scalable prototypes and production solutions. Ensure models are efficient, adaptable, and enterprise-ready. Lead integration, A/B testing, and phased rollouts.
AI Engineering & Deployment: Architect scalable GenAI solutions for banking. Own the full lifecycle: deployment, monitoring, incident response. Build dashboards, detect model drift, and integrate feedback loops.