We are looking for a Senior Full Stack Engineer who thrives at the intersection of intelligent systems and polished product experiences. You'll work across the entire stack from designing React interfaces that surface AI capabilities to engineers and end users, to building the Python and Node.js services that power our LLM-based Agentic platform. A key part of this role is hands-on experience with designing, building, and integrating MCP servers that connect our AI agents to internal tools, financial data systems, and third-party APIs. You'll collaborate closely with product, compliance, and cross-functional engineering teams to build financial technology that's fast, secure, and genuinely intelligent.
Who You Are:
You have experience building Retrieval‑Augmented Generation (RAG) systems or knowledge‑base chatbots.
You're Hands‑on with vector databases such as Pinecone, Chroma, or pgvector on Postgres/Aurora.
Have AWS certification (Developer, Solutions Architect, or Machine Learning Specialty).
Experience with observability tooling (Datadog, New Relic) and cost‑optimization strategies for AI workloads.
Background in microservices, domain‑driven design, or event‑sourcing patterns.
Requirements: Available working some US hours
Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
Hands-on production experience with Large Language Models, prompt engineering, RAG workflows, agent frameworks, and LLM evaluation strategies.
Experience building and consuming MCP servers.
5+ years of professional software development with a proven record on complex full-stack systems.
Experience with modern JavaScript (ES6+), React, state management (Redux, Zustand, or similar) at scale.
Hands-on experience architecting on AWS (DynamoDB, S3, RDS, Lambda, and API Gateway). Knowledge of Infrastructure as Code (Terraform) is a plus.
Deep understanding of TDD, CI/CD pipelines, and Agile/Scrum leadership.
Ability to debug problems across distributed systems and optimize bottlenecks in real-time data flows.
Great communicator with the ability to influence technical direction and manage stakeholder expectations.
This position is open to all candidates.