לוח משרות דרושים AI Engineer משרה מלאה

Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users.
Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs
Contribute to the design and implementation of new products and features while also enhancing the existing product suite
Be a mentor for colleagues and help promote knowledge-sharing

Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users.
Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs
Contribute to the design and implementation of new products and features while also enhancing the existing product suite
Be a mentor for colleagues and help promote knowledge-sharing

we are looking for a Senior AI Engineer.
Responsibilities:
Identify high-impact opportunities to leverage AI and AI agents to automate and optimize internal workflows.
Design, architect, and implement end-to-end AI-driven solutions - from problem definition to production deployment and adoption.
Integrate AI systems with internal platforms, services, APIs, and third-party tools.
Collaborate with technical and non-technical stakeholders to translate business needs into practical, scalable solutions.
Take full ownership of solutions, including iteration, performance optimization, monitoring, and long-term maintenance.
Evaluate and adopt new AI tools, frameworks, and methodologies with a pragmatic, business-oriented approach.

we aren't building a single, generic chatbot. We are building a Composable AI Microservice Architecture, a swarm of hundreds of hyper-specialized AI services, each meticulously "programmed" to solve small, focused tasks with high precision. This fleet powers Ava, our AI support engine, and a suite of cutting-edge generative tools for travel and expense management.
As a Senior AI Ops / MLOps Engineer, you are the architect of the platform that makes this scale possible. You will move beyond traditional MLOps to manage a "factory" of Language Models. Your challenge is one of orchestration and standardization, ensuring that every service in the swarm meets a rigorous bar for quality, reliability, and cost-efficiency.
What You'll Do:
Orchestrate the AI Fleet: Build and own the runtime environment for 100+ specialized AI services. Manage model routing, context versioning, and standardized memory/history stores.
High-Density Inference Optimization: Design and implement SageMaker Multi-Model Endpoints (MME) and Inference Components to serve multiple tuned SLMs per GPU, maximizing hardware utilization while minimizing latency.
Deterministic Service Excellence: Treat reliability as a layered engineering problem. Build deterministic "shells" around probabilistic LM outputs, prioritizing data-layer validation and strict serialization.
Automated Evaluation & Observability: Implement "LLM-as-a-judge" patterns and automated benchmarking to detect semantic drift and hallucinations across the fleet before they impact the user.
Standardize the Workflow: Obsess over building reusable patterns and Terraform-based infrastructure that eliminate "snowflake" configurations, allowing us to deploy new specialized AI tasks in minutes.
Agency Strategy: Partner with AI Researchers to find the "Goldilocks zone" for agentic autonomy-balancing the flexibility of LLM tool-use with the precision required for production stability.

We are seeking a skilled Backend Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.
About the Role:
You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.
What Youll Do
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.

We are seeking a Senior Backend Engineer with deep backend engineering expertise and proficiency in one or more major programming languages (e.g., Python, Java, Go, Rust, or Kotlin), along with a strong understanding of AI models and agents. As a core member of our AI Engineering team, you will collaborate with data scientists, ML engineers, and product managers to build scalable, production-ready infrastructure and APIs that power intelligent systems.

What you'll be doing:

As a Senior Backend Engineer in the AI Engineering team, you will:

Build and maintain reliable, scalable backend services to support AI agent execution and orchestration.
Develop AI agent systems for complex operational workflows using LangChain, LangGraph, LiteLLM, and Langfuse.
Orchestrate a hybrid model stack that includes OpenAI and Google Gemini alongside self-hosted and fine-tuned LLMs like Gemma and Llama.
Build and maintain integrations with clinical systems (FHIR, EMR).
Drive observability and reliability using OpenTelemetry, Datadog, and Langfuse.
Design APIs (GraphQL, REST), background workers, and event-driven systems that interface with AI inference engines and agent runtimes.
Collaborate with Data Science, ML, and engineering teams to deploy AI features and improve the performance, scalability, and reliability of backend systems.
Participate in code reviews, knowledge sharing, and mentoring to elevate the teams technical capabilities.

Were seeking a visionary and technically hands-on AI Team Leader to join and take charge of driving innovation across our core AI systems.
As the AI Team Leader, you'll guide the architecture and development of advanced machine learning models that power our video and creative analysis platform.
You will collaborate cross-functionally with product managers, engineering, and business development teams to deliver cutting-edge features that push the boundaries of whats possible in creative performance analysis.
This is a high-impact role for someone who thrives at the intersection of machine learning, product strategy, and creativity.
Key Responsibilities:
Lead the development, deployment, and optimization of machine learning models for video, image, and creative performance analysis.
Architect scalable AI/ML pipelines and infrastructure that support real-time and batch processing of multimedia data.
Guide research and experimentation initiatives-identify new technologies, modeling techniques, and opportunities for innovation.
Mentor and grow a team of machine learning engineers and data scientists as we scale.
Champion AI ethics, fairness, and explainability in our model development and deployment.
Stay ahead of industry trends in generative AI, computer vision, NLP, and Martech innovation, translating insights into competitive advantages.

we are a global leader in space based intelligence solutions, serving for over 20 years as a trusted partner to some of the worlds most demanding defense and intelligence organizations. The company delivers high quality, mission critical capabilities tailored to address complex, strategic, and highly sensitive intelligence challenges. As part of its continued growth, ISI is seeking a talented Algorithm team leader to join the Algorithm Development Group and lead cutting edge AI and Computer Vision initiatives that transform advanced research into operational impact. This position combines technological leadership, research direction, and end to end implementation in a production oriented environment.
Responsibilities:

* Professional and managerial leadership of an AI algorithm team
* Development, training, and optimization of Deep Learning models for computer vision tasks
* Hands on work with advanced detection and segmentation architectures, including YOLO
* Research and implementation of VLM and LLM in multimodal contexts
* Designing research workflows, experimentation frameworks, validation processes, and performance improvements
* Mentoring and guiding junior team members and supporting their professional growth
* Close collaboration with software, product, and hardware teams
Advantages:

* Experience working with GIS systems and geospatial data
* Experience implementing algorithms on hardware or working closely with hardware teams
* Experience optimizing models for real time systems or resource constrained environments
* Experience transferring models from research environments to production

This is a role for someone who wants to shape the fundamentals of our platform, both technically and strategically. Youll lead the design of scalable GenAI systems and connectivity to other platforms and tools, define effective AI best practices, mentor engineers, and influence how AI is built across the company all while staying deeply hands-on.

Its about ownership and impact: building, leading, and shaping impact end-to-end.
What You'll Do:
Lead the architecture and implementation of scalable GenAI solutions.
Define and enforce AI best practices: evaluation, privacy, responsible AI, and performance.
Drive AI strategy across teams and products.
Read, interpret, and apply cutting-edge AI research.
Design infrastructure that enables AI at scale-from zero-to-one to production.
Mentor engineers and grow technical leadership across the organization.

Technical teams are overwhelmed by manual, repetitive tasks, fragmented tools, and rapidly growing data. These challenges increase errors, slow decision-making, and prevent teams from focusing on strategic initiatives.
What You'll Do:
Build and deploy clusters of AI agents that tackle multiple use cases across the IT domain.
Work hands-on with LLMs-installing, running, and fine-tuning models. We are not just calling APIs.
Build backend services for data ingestion, AI pipelines, and integrations.
Integrate open-source AI modules directly: read, tweak, and ship.
Operate in AWS (Lambdas, APIs, infrastructure) to power AI-driven features.
Collaborate directly with customers-strong English communication is essential.

Were looking for a Generative AI Developer to join our forward-thinking engineering team. This role is perfect for someone with a passion for cutting-edge AI, a strong software engineering background, and the creative spark to identify and implement novel use cases within our product.

You will play a critical role in adding AI capabilities to our FinOps SaaS platform. Whether it's enhancing user workflows, automating insights, or inventing entirely new product experiences, youll have both the freedom and support to experiment and execute.

We provide a uniquely rich dataset covering the full scope of a companys cloud spend. This expansive data playground offers a powerful foundation for experimentation and insight generation, enabling the development of intelligent, value-driven features.

Responsibilities:
Lead the charge in transforming our product and preparing it for the agentic age.
Design, build, and deploy generative AI-powered features across our product.

Identify opportunities for AI integration by proactively exploring FinOps use cases and user needs.

Prototype and validate new AI use cases quickly and iterate based on internal and external feedback.

Collaborate cross-functionally with product, design, and backend teams to drive innovation from concept to production.

Stay current with the fast-moving generative AI landscape and evaluate new models, APIs, and tools (e.g., OpenAI, Anthropic, Hugging Face, AWS Bedrock, open-source LLMs).

Live in the future and track new innovations and paradigms in this fast evolving field and identify opportunities to integrate them into the product.

Implement safeguards, prompt engineering techniques, and usage monitoring to ensure high-quality AI outputs.

Optimize model performance, inference time, and cost efficiency within AWS infrastructure.

If youre looking to build something big, solve real problems, and grow fast-wed love to meet you.

You will own AI infrastructure and agentic interaction layer on top of our Data Platform.

The data layer is the product.
The AI layer is the multiplier.
The interaction model between them is the future.

Your responsibility is to design and build:

The AI infrastructure that enables safe, scalable, production-grade AI features

The ability to interact with Data Layer through LLMs and agentic workflows

Guardrails, governance, and system boundaries for AI-driven data access

The foundations that allow AI to be powerful without compromising correctness or trust

our company, a software development company specializing in sophisticated e-commerce solutions, is looking for a motivated, talented, and skilled AI Officer. Our clients include leading brands such as McDonald's, Azrieli, Aroma Israel, Shlomo Group, Meshulam, Htzone, NewDeli, and more. This is a unique opportunity to showcase your talent, work with advanced technologies, collaborate with amazing colleagues, and support major customers.
Responsibilities:

* Monitor AI tools usage across the organization on an ongoing basis
* Ensure compliance with internal policies, procedures, and applicable AI regulations
* Review and approve requests for AI tool usage according to defined criteria
* Identify deviations, risks, and compliance gaps, and recommend corrective actions