דרושים » הנדסה » Gen AI Technologist לסטארטאפ מצליח בתחום FinOps וענן

Requirements:
Backend Specialist with a Passion for AI/GenAI, strong systems skills, and eagerness to grow in AI.
5+ years in Python /Java/Scala/C#/ Go
Familiarity with LLM frameworks (LangChain, LangGraph, Haystack, etc.) or willingness to learn.
Basic understanding of prompt engineering, vector databases, and retrieval-augmented generation (RAG).
Solid knowledge of cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
Proven track record in building scalable, distributed systems.
Strong problem-solving, ownership, and collaboration skills.
Nice-to-Have Skills:
Exposure to reinforcement learning, multi-agent systems, or autonomous planning.
Interest in ML Ops, AI model deployment, and scaling AI workloads.
Experience with data engineering for AI (ETL pipelines, feature stores, embeddings).
Any experience building AI-powered platforms or agent-based systems.

Requirements:
Technical Expertise:
Programming: Advanced proficiency in Python for backend development and AI applications
GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.)
Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures
Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques
Cloud Platforms:
Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS)
Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.)
Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services
Software Engineering: Strong background in microservices architecture, API development, and production system design
AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques
Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration
OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing
Data Pipelines (Advantage): Experience building and maintaining data processing pipelines
Professional Experience
Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions
Education & Background
Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)
Soft Skills
Problem-Solving: Excellent analytical and creative problem-solving abilities
Communication: Strong technical communication skills for both technical and non-technical audiences
Collaboration: Proven ability to work effectively in cross-functional teams
Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
Consulting Mindset: Ability to understand client needs and provide strategic technical guidance.

Requirements:
Hands-on experience generating high-end visual assets, with expertise in building complex workflows across different models within wivi and Midjourney (ComfyUI expertise is a major plus)
Strong background in 3D design, VFX, professional photography, or cinematography with a deep understanding of light and physics in the real world
Intuition for what looks "expensive" and professional. You can spot a bad AI artifact from a mile away and know how to fix it
Proficiency in post-production tools like After Effects, Premiere Pro, or DaVinci Resolve for compositing and finishing
High agency and independence, with the ability to own projects from start to finish and identify the best tools and techniques for the job
Ability to adapt quickly in a fast-moving environment with ever-changing technology, and a passion for learning on the fly.

Requirements:
What Were Looking For
3+ years of experience in software, ML, or data-related roles
Hands-on experience building and shipping GenAI / LLM systems in production
Strong Python skills
Experience with RAG, agents, fine-tuning, or similar implementations
Experience with LLM providers (OpenAI, Anthropic, Cohere, or open-source)
Experience working in cloud environments (AWS / GCP / Azure), with familiarity in MLOps
Experience leading technical decisions, owning systems, or mentoring engineers
Important Note
Were looking for engineers who have built GenAI systems that went live. Experience limited to research, academic work, or POCs is less relevant. No formal Tech Lead title is required - what matters is what youve actually built, shipped, and owned.