לוח משרות דרושים Gen AI Engineer

The team focuses on art direction, prompt architecture, and technical experimentation, bridging the gap between creative design and AI tool development inside LTX Studio platform.

Its responsibilities include feature development, testing generative models, building LLM-driven systems for visual generation, and defining visual presets, using the team creative background to bring out-of-the-box thinking and artistic perspective to technical features and innovation.

What you will be doing
Own visual quality and creative evaluation across image or video domains within LTX Studio
Lead AI Evaluation & AI Creation efforts - testing new generative models, benchmarking outputs, identifying strengths and limitations
Build POCs using AI coding tools and vibe coding methodologies
Translate innovation ideas into demos, workflows, and product features (0→1 ownership)
Develop and refine prompt engineering systems, including prompt enhancement logic and structured generation rules
Improve and iterate on existing product features related to visual generation
Collaborate closely with PMs, developers, researchers, and cross-functional teams
Participate in feature ideation and bring creative-first thinking into technical product discussions
Help define visual presets, output standards, and quality benchmarks
Continuously explore emerging tools, models, and techniques in the AI creator ecosystem

We are building a new team focused on redefining the future of code analysis infrastructure, combining advanced GenAI techniques with deep static code analysis. We're looking for a highly motivated Algorithms Software Engineer to join us on this mission.
We're working in a hybrid model: 3 days in the office, 2 days from home.

You are invited to meet the R&D team here!

In this role, you will:

Research and develop next-gen code analysis and remediation algorithms

Work hands-on with GenAI models and integrate them into detection workflows

Tackle complex software analysis problems (e.g., call graphs, control/data/taint flow analysis)

Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to prototype, validate, and productize your innovations

Responsibilities:

Design and implement machine learning and algorithmic solutions for code analysis

Build GenAI-powered developer tools for static and semantic code analysis

Enhance our existing detection infrastructure with intelligent, context-aware insights

Translate cutting-edge research into practical, scalable product features

Join the Digital Manufacturing Innovation and Research Artificial Intelligence team and immerse yourself in the groundbreaking of Generative Artificial Intelligence within a global enterprise. As a student intern, you will have the opportunity to explore, prototype, and evaluate advanced Generative Artificial Intelligence technologies that are transforming the way software is built and how large‑scale innovation takes place. You will work on real Generative Artificial Intelligence challenges, learn directly from experienced Artificial Intelligence engineers and researchers, and enjoy the freedom to experiment and push boundaries. This is a high‑impact, high‑learning environment with no busy work, only meaningful contributions from the very first day.
Responsibilities:
Research and experiment with Generative AI technologies (LLMs, RAG, Agents, MCP).
Build Proofs of Concept to validate GenAI ideas and tools.
Evaluate third-party GenAI tools and developer assistants.
Support AI4SDLC initiatives (code generation, review, testing, documentation).
Share findings through demos, documentation, and internal communities.

We are looking for a hands-on professional who will take ownership of customer-facing AI solutions, become a central point of contact for key customers, and work closely with our product and AI development efforts.

This is a cross-functional role with real impact on how the company operates and grows over the coming years.

Responsibilities

Own and manage ongoing relationships with customers, gradually taking on a central Customer Success role
Analyze complex business needs and translate them into CRM and AI-based solutions
Define and design AI agents, automated processes, and advanced workflows
Lead and support solution implementation with customers, including hands-on involvement when needed
Work closely with development and implementation teams
Identify problems, propose solutions, and take full ownership from definition through execution
Continuously improve internal workflows and delivery processes using AI

We’re seeking a visionary Team Lead to lead a AI & backend-focused team building our next-generation Generative AI Platform. This platform will empower cross-functional teams across Earnix to design and deploy AI-driven solutions, leveraging cutting-edge advancements in generative AI, cloud-native architectures, and rapid innovation cycles. In this role, you’ll manage a high-performing backend team responsible for building scalable microservices and cloud-based infrastructure, while integrating advanced AI capabilities such as evaluation frameworks, RAG pipelines, knowledge base management, embeddings, LLMs, chatbot assistants, and agent orchestration.
What You’ll Do Lead and mentor a backend engineering team developing a scalable, cloud-native AI platform. You’ll foster a culture of technical excellence, collaboration, and ownership while ensuring delivery of robust, production-grade systems. Define the technical direction and architecture for backend services, focusing on microservices, distributed systems, and AWS-based infrastructure to support AI-driven applications. Integrate cutting-edge AI capabilities into the platform, including RAG pipelines, embeddings, LLM orchestration, and evaluation frameworks, ensuring performance, scalability, and security. Collaborate with product and engineering teams to translate business needs into backend solutions that enable AI-agent use cases and accelerate innovation across the organization. Drive agile processes and best practices , leveraging tools like Jira to manage sprints, track progress, and continuously improve team efficiency and delivery quality. Scale the team strategically , hiring and onboarding top talent while mentoring future leaders to support the growth of the Gen AI Platform group.

Position Intro:
Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

the corporate genai lead drives accelerates and scales genai adoption across our company to deliver measurable business impact.
this role translates emerging ai capabilities into structured, secure and business driven, working cross-functionally with r&d, it, Cyber security, and corporate teams, leading vendor relations and evaluating new ai solutions.
the genai director will operate at the intersection of technology strategy and execution - aligning priorities, enabling use cases, and shaping the genai roadmap to support our sustainable growth. what will your job look like: identify and prioritize high-impact genai use cases across engineering and corporate functions, aligning initiatives with measurable business value
lead cross-functional initiatives from concept through pilot and scalable deployment, ensuring clear ownership and delivery milestones
define and evolve the genai platform and infrastructure roadmap to support secure, scalable, and cost-efficient adoption
partner with it, Cyber security, and engineering teams to ensure secure and compliant implementation.
evaluate external tools, lead the adoption lifecycle from poc to enterprise rollout, and drive data -driven build-or-buy decisions
track adoption, business impact, kpis, and roi across the genai portfolio, adjusting priorities as needed
lead the genai internal community, strengthen internal knowledge sharing, and ai standards responsibilities.

DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. Join Our Team as a Employee Productivity & GenAI Expert at DRS RADA Technologies! Lead how we use Microsoft 365, Azure and GenAI (assistants, copilots, agents, coding assistants like Tabnine, and automations) to improve employee productivity across the company. Key Responsibilities
* Own the GenAI & productivity strategy in a Microsoft-based environment (Azure, M365, Teams, Copilots).
* Identify and deliver high-impact use cases and automations across business functions.
* Implement and manage GenAI assistants, copilots, agents and coding assistants
* Drive adoption, training and best practices for employees and managers.
* Track usage and impact KPIs and continuously improve tools and workflows.

We are looking for a Senior Software Engineer to join our growing Innovative DataEngine team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history. This organization is in the center of the hurricane created by the artificial intelligence revolution.
As a Data Pipelines Engineer, You will be building pipelines on top of the Insight Engine, a one-stop shop to build fully integrated AI pipelines. You will build new and innovative AI pipelines and applications as blueprints for customers and AI practitioners to use.

What We Are Looking For As a Red Team Specialist focused on GenAI models, you will play a critical role in safeguarding the security and integrity of commercial cutting-edge AI technologies. Your primary responsibility will be to analyze and test commercial GenAI systems including, but not limited to, language models, image generation models, and related infrastructure. The objective is to identify vulnerabilities, assess risks, and deliver actionable insights that strengthen AI models and guardrails against potential threats. Key Responsibilities
* Execute sophisticated and comprehensive attacks on generative foundational models and agentic frameworks.
* Assess the security posture of AI models and infrastructure, identifying weaknesses and potential threats.
* Collaborate with security teams to design and implement effective risk mitigation strategies that enhance model resilience.
* Apply innovative testing methodologies to ensure state-of-the-art security practices.
* Document all red team activities, findings, and recommendations with precision and clarity.

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.

Hybrid:
Yes

We are seeking a Backend Team Lead to spearhead the development of ludeo.ai, our GenAI-powered product that enables users to generate interactive (gaming experiences) directly from prompts or video content. This is a high-impact leadership role at the intersection of backend architecture, multimodal AI, and real-time systems. You will architect and lead the AI engine that transforms unstructured inputs (text/video) into structured, interactive gaming playable moments.

What Youll Do

Lead & Mentor: Build and manage a high-performing backend/AI engineering team, drive architectural decisions, and foster rapid innovation while maintaining production-grade reliability.
Design AI-Native Systems: Architect scalable microservices powering complex AI workflows. Design and implement Retrieval-Augmented Generation (RAG) pipelines, embedding strategies, and vector database infrastructure (e.g., Pinecone, Weaviate, Milvus, PGVector). Optimize retrieval, prompt orchestration, latency, and cost.
Agentic Workflows: Design multi-agent systems using planner/executor/tool-calling patterns. Implement stateful, multi-step AI workflows with frameworks such as LangChain, CrewAI, AutoGen, or similar. Build evaluation, observability, and safety mechanisms for LLM systems.
Multimodal AI: Integrate multimodal models (vision + text) to understand video and translate it into structured form.
Scale & Infrastructure: Ensure robustness, security, and high availability on AWS/Kubernetes. Design distributed systems that handle real-time data and AI workloads efficiently.
Collaborate: Work closely with Product and Design to translate GenAI capabilities into stable, scalable production features.

Alice is seeking a driven, detail-focused professional to become a vital part of our team as a Generative AI Analyst. In this role, you'll dive into the cutting-edge of technology, meticulously analyzing various content infringements to secure the new wave of Generative AI tools. Your duties will include collaborating with experts in diverse fields such as Hate Speech, Misinformation, Intellectual Property and Copyright, Child Safety, among others. Your tasks will involve writing adversarial; prompts to identify weaknesses in various AI models, including Large Language Models (LLMs), Text-to-Image, Text-to-Video, and beyond. You'll also oversee data management to guarantee the highest quality of outputs. Responsibilities
* Developing adversarial and risky prompt strategies across several areas of abuse to expose potential vulnerabilities in models.
* Managing projects end-to-end, from initial planning and oversight through quality assurance to final delivery.
* Handling extensive datasets across multiple languages and areas of abuse, ensuring precision and meticulous attention to detail.
* Ongoing investigation into new tactics for circumventing foundational models' safety measures.
* Working alongside diverse teams, engineering, product, policy, to tackle new challenges and craft forward-thinking strategies and resolutions.
* Promoting a culture of knowledge exchange and continual learning within the team.

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.

Were looking for a Senior AI/ML Architect to help shape how our customers implement AI. In this role, youll design scalable, end-to-end ML solutions, from classical models to generative AI, and guide customers from concept to production. Youll work closely with C-level leaders, data scientists, and engineers to deliver impactful, real-world AI outcomes.
📍 Work location - hybrid from Tel Aviv
If you are interested in this opportunity, please submit your CV in English.
Responsibilities
Design and deliver end-to-end ML solutions, including classical ML, deep learning, and generative AI
Create technical proposals, reference architectures, and deployment plans
Lead workshops, POCs, and architecture reviews with startup customers
Translate business needs into scalable ML systems
Implement distributed training workflows and LLM serving infrastructure
Build MLOps pipelines for tracking, versioning, and monitoring
Provide technical guidance to customers and internal teams
Stay up to date on ML trends and contribute to internal enablement
Frequent travels - locally (on-demand to meet with customers and partners and attend local events) and abroad (at least once a quarter).