דרושים » הנדסה » LLM Engineer בחברת סטארט-אפ בתחילת הדרך בתחום של Identity ו-AI

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Mission
seeking an experienced AI Engineer to join our fast-growing team. In this role, you will design, train, and deploy AI models to solve real-world problems. You will work closely with cross-functional teams, including software engineers, DevOps engineers, and product managers, to integrate intelligent features into our platform and services.

Responsibilities
LangChain/LangGraph Development: Build and maintain modular, scalable LLM-powered agents and tools using LangChain and/or LangGraph.
Retrieval-Augmented Generation (RAG): Implement RAG-based solutions to improve AI responses using external knowledge bases.
API & Backend Integration: Work with software engineers to integrate AI systems into backend infrastructure and expose them via APIs.
AI Agent Development: Design, build, and deploy autonomous AI agents that can reason and execute multi-step tasks using LLMs, tools, memory, and APIs.
Experimentation & Evaluation: Continuously refine models using A/B testing, human feedback loops, and AI evaluation metrics.
Stay Updated: Keep up with the latest LLM advancements and best practices in the AI industry.
Product applications: Apply LLMs and agents to real-world scenarios that solve meaningful user problems.
Product implementation: Work closely with the product team to ensure that delivery is aligned with expected product requirements
Response validation: Implement a process to ensure accurate KPI measurement and consistent, expected outcomes.
Typescript Integration: (Preferred) Help implement and maintain AI modules and integrations using Typescript-based stacks.

As a Senior AI Engineer in the Clinical AI domain within our Data & AI group, you will play a critical role in designing, building, and scaling cutting-edge machine learning and LLM-based systems that power our AI-first healthcare experiences. Your work will drive capabilities in clinical risk prediction, conversational agents, and personalized health management tools.

You will take technical ownership of key projects, lead the development of scalable AI systems, and collaborate closely with cross-functional teams spanning product, data science, and engineering. In essence, you will help shape the future of AI in a high-impact, healthcare-focused environment.

Responsibilities:
Lead the technical design, development, and deployment of robust machine learning and LLM-based applications.
Architect and implement scalable systems for conversational agents, risk models, and clinical workflows.
Collaborate with data scientists and product managers to turn research and user insights into production-ready AI solutions.
Contribute to advanced prompt engineering, retrieval-augmented generation (RAG), and agent orchestration efforts.
Design and implement robust evaluation, testing, and monitoring strategies for AI models in production.
Integrate real-time data from mobile apps, wearables, and clinical sources into AI pipelines.
Investigate emerging AI technologies, evaluate their applicability, and recommend their integration into our systems.

We are seeking for a talented AI/ML developer with strong focus on Python expertise and hands-on experience in AI/ML models to join our Data Science group. The Data Science group plays a pivotal role in driving the execution and delivery of advanced AI and modern Machine Learning solutions, that empower impactful projects to our target sectors.
Key Responsibilities:
Take part in all development aspects, from concept to production, of AI/ML models and LLM-based features (agents development)
Stay up to date with state-of-the-art research in the field of LLM and apply relevant advancements to improve our solutions
Mentor new team members and share your expertise to strengthen the teams collective knowledge.

We are looking for a AI Security Engineer.
What Youll Do:
Design and implement best-in-class security measures for the entire AI/ML lifecycle from data pipelines and model training to deployment and inference.
Address risks like model theft, data leakage, prompt injection, adversarial attacks, model inversion, deepfake phishing, and misuse of LLMs or vector databases.
Lead threat modeling activities across AI/ML pipelines, RAG platforms, and use cases, and contribute to broader risk assessments and incident response strategies.
Partner with R&D, MLOps, DevSecOps, and SecOps to ensure secure and ethical practices in AI usage, procurement, and model governance. Work with Red Teams to simulate AI-enabled attacks and develop countermeasures.
Develop protections for internal AI agents and LangChain/RAG/AutoGen-based systems. Build and maintain libraries for prompt sanitization, input/output policy enforcement, and adversarial defense. Collaborate with developers to create layered prompt chains resilient to injection and context confusion.
Integrate anomaly detection for prompt payloads, fine-tune poisoning, agent hallucinations, and monitor for AI-specific threats across environments.

We are looking for an AI Engineer with backend development experience to help design and scale our next-generation multi-agent systems.
This role requires strong deep understanding of how AI agents, LLMs, and protocols operate internally.
You will contribute to building a multi-agent platform and orchestration pipelines across GCP (Vertex AI, ADK, BigQuery, Cloud Run, Dataflow) and AWS, focusing on scalability, reliability, and evaluation.
What youll do:
Multi-Agent Systems Work with MCP & A2A protocols, implement agent discovery, registries, orchestration engines, and evaluation frameworks.
LLM Operations Apply embeddings, prompting, retrieval (RAG), fine-tuning, and optimize agentLLM integration.
Backend Development Build microservices (Python/Go) on Cloud Run / agents engine / Kubernetes, design APIs, and support distributed execution.
CI/CD & Airflow Contribute to pipelines for agents and workflows, with monitoring, rollback, and governance.
Agent Evaluation Help define and run metrics for agent performance, safety, and lifecycle management.