לוח משרות דרושים הייטק AI עבודה היברידית

Requirements:
Who You Are (Success Profile):
You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What Were Looking for (Minimum Qualifications):
B.Sc. in Computer Science or a related field
5+ years of backend development experience with Python and/or Java
Experience building AI agent systems, including designing new agents and developing agent frameworks
Expertise in microservices architectures, with hands-on experience using AWS and Kubernetes
A proven ability to work independently in fast-paced, dynamic environments and tackle complex technical challenges with creative, effective solutions
What Will Make You Stand Out (Preferred Qualifications):
M.S. in Computer Science, Statistics, Machine Learning, or a related field, or equivalent practical experience
Demonstrated experience leading machine learning and data science projects.

Requirements:
MSc in Computer Science (or related field) from a top-tier institution - Must
3+ years of software engineering experience, with strong proficiency in Python (primary) and familiarity with Java / C++ / JavaScript codebases.
Hands-on experience with LLMs / GenAI systems, including prompt engineering, inference optimization, and model evaluation.
Experience designing LLM-driven pipelines (agentic or tool-augmented), including:
Structured outputs (JSON schemas), Multi-step reasoning/verification flows
Excellent communication and collaboration skills - Must
Advantage:
Familiarity with ML for code, static/dynamic analysis tools, and AST-level representations
Experience with web application security, vulnerability detection, or remediation
Proficiency in one or more of: JavaScript, C#, Python, Go, PHP

Requirements:
3+ years in roles such as, Business Application Developer, Business Analyst, Product Operations, RevOps, AI/ML Ops, or Digital Transformation in a global SaaS / data-heavy company.
Proven experience designing and delivering AI-driven workflows or agents in a SaaS environment, partnering closely with business stakeholders.
Low-code/no-code build skills and strong prompt engineering fundamentals (tool/function calling, structured/JSON outputs, context windows, grounding).
Hands-on experience with AI Gateway-style action catalogs (configure inputs/outputs, field mapping, chaining, retries, error handling), and familiarity with platforms like Salesforce, Snowflake, Gong, ERP, ticketing, HRIS, etc.
Solid SQL skills for analysis, shaping data for agents, defining evaluation sets, and measuring workflow performance (no need to be a full data engineer).
Familiarity with Context Engineering using APIs, MCPs, retrieval, and data contracts.
Understanding of hallucination-mitigation strategies (retrieval grounding, instruction hierarchy, eval sets, guardrails, refusals).
Systems thinker who can map complex ecosystems (agents, tools, data sources, owners) and make them understandable.
High data literacy: comfortable with usage data exploration, defining metrics, and building dashboards with Data/BI teams.
Strong stakeholder management: able to work with executives on value, Security/IT on controls, Data/Engineering on telemetry/models, and business teams on workflows.
Outcome-driven: bias to measurable impact (time saved, error reduction, revenue influence) over vanity metrics.
Clear, concise communication and documentation skills.
Nice to have
Experience launching organization-wide AI/automation programs or agent governance.
Background in observability/telemetry for LLM systems (cost tracking, evals, quality signals).
Prior work with risk/compliance programs (data classification, RBAC, policy reviews).
Built enablement programs (docs, workshops, champions communities) that changed behavior.
Familiarity with offline/online experimentation, prompt/agent evaluation, and KPI design for AI workflows.

Requirements:
A PhD in computer science or related fields with 5 years of industry or academic experience in artificial intelligence, OR Masters with 7 years of related industry experience OR Bachelors with 10 years of related industry experience.
Strong programming skills in generic programming languages such as Python.
Experience in one or more of the following areas:
Designing and building scalable, reliable, and secure backend infrastructure (e.g., distributed systems, cloud services, data pipelines, APIs) for large-scale applications.
A strong background in AI, machine learning, and deep learning technologies, with a solid understanding of core ML concepts such as bias and variance, supervised and unsupervised learning, and Generative AI.
Developing, training, fine-tuning, or evaluating AI/ML models, algorithms, or platforms (including deep learning, reinforcement learning, generative models, etc.).
Preferred Qualifications:
Comfortable with fast, iterative development cycles in an environment that requires autonomous thinking, risk taking and bias for action.
Ability to use the latest GenAI technologies and methodologies for software development workflows.
Familiarity with ML frameworks like PyTorch.
Excellent written and verbal communication skills, strong analytical and problem-solving skills.
Fluency in reading academic papers on AI/ML and security and the ability to translate their ideas into prototype or production systems.

Requirements:
A PhD in computer science or related fields OR Masters with 2 years of related industry experience OR Bachelors with 4 years of related industry experience.
Strong programming skills in generic programming languages such as Python or Golang.

Experience in one or more of the following areas:
Designing and building scalable, reliable, and secure backend infrastructure (e.g., distributed systems, cloud services, data pipelines, APIs) for large-scale applications.
AI, machine learning, and deep learning technologies, with a solid understanding of core ML concepts such as bias and variance, supervised and unsupervised learning, and Generative AI.
Preferred Qualifications:
Comfortable with fast, iterative development cycles in an environment that requires autonomous thinking, risk taking and bias for action.
Ability to use the latest GenAI technologies and methodologies for software development workflows.
Familiarity with ML frameworks like PyTorch.
Excellent written and verbal communication skills, strong analytical and problem-solving skills.
Fluency in reading academic papers on AI/ML and security and the ability to translate their ideas into prototype or production systems.