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Senior full-stack engineer at fintech Ebury building an AI-powered financial crime investigation platform (hybrid, London). Day to day: architect React/TypeScript frontends and Python/FastAPI backends, design LangGraph agent workflows and RAG pipelines, integrate data sources with observability, and mentor engineers.
Hey there! We’re Fever, the world’s leading tech platform for culture and live entertainment. Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and…
Builds, fine-tunes, and deploys large language models for banking use cases in secure environments, handling the full ML lifecycle from data prep to production inference optimization.
Senior SDET at Nexxa owning quality for LLM-based AI agents deployed in heavy industry: builds evaluation harnesses, simulators, and CI/CD quality gates (Python, Docker/Kubernetes), and does hands-on manual, exploratory, and red-team testing of agent behavior while defining quality metrics and release criteria.
Senior QA engineer building and maintaining automated test suites for an enterprise-grade AI agent platform using JavaScript/TypeScript, Playwright, and adversarial testing techniques to validate reliability, security, and non-deterministic behavior.
Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range…
The lab builds AI-enabled products for the bank. Some are already live; others are still being scoped as POCs. The work whatever the the brings us us: retrieval-augmented systems over internal knowledge, agents that…
Builds and operates production-grade Generative AI and Agentic AI applications in Python — LLM-powered apps, autonomous agents, and RAG pipelines — using orchestration frameworks like LangChain/LangGraph, vector databases, and FastAPI, deployed on AWS/Azure/GCP with Docker and Kubernetes and monitored via LLMOps/observability tooling.
Remote senior QA role at Alternative Path, a services firm staffing a financial-data client. Day to day you own the test/eval strategy for the client's AI agents (chatbots, RAG pipelines, MCP tool-calling), building eval suites and golden datasets, red-teaming with tools like LangSmith, scripting in Python, and reporting quality risk to client engineers.
Senior engineer designing production-grade autonomous AI agents: LLM orchestration (OpenAI/Anthropic/Gemini), agent patterns (planner/executor, multi-agent, HITL), and RAG pipelines, built on Python/Node.js backends and AWS. Owns architecture, observability, evaluation, and CI/CD for agentic systems.
AI/ML engineer at a fast-growing global travel tech company in Tokyo: training and fine-tuning LLM and traditional ML/DL models, building autonomous agentic systems and recommender engines, creating BigQuery/dbt data pipelines, and co-developing production microservices on GCP. Full-time, hybrid with 2 days/week in office.
AI Engineer who builds the shared platform layer beneath Kaltura's agentic AI — the orchestration engine, skills registry, evaluation harness, guardrails, memory service, integration gateway, and tracing used by both real-time conversational and offline video-generation runtimes. Core stack: Python, LLM orchestration (LangChain/LangGraph), RAG, and vector databases.
About Lucid At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning…
Build and deploy AI-driven content processing systems using LLMs and NLP to extract structured data from financial documents for enterprise clients.
Builds and deploys AI-driven document processing pipelines using LLMs/NLP to extract structured data from financial/confidential content for enterprise decision-making.
Senior backend engineer builds and scales AI-enablement infrastructure at Coursera, including agentic AI platforms, Kubernetes, Kafka, and cloud services to support AI adoption across the company.
Mitratech, which builds software for Legal, Risk, Compliance, and HR functions, is hiring a Senior Software Engineer to design production-grade GenAI systems: multi-agent workflows, end-to-end RAG pipelines, and LLM evaluation frameworks. Core stack is Python on AWS (Bedrock, SageMaker, OpenSearch) with Terraform/CDK and MLOps practices.
Senior backend engineer on ClickHouse's Langfuse team, owning the pipeline that ingests terabytes of AI tracing data daily, optimizing ClickHouse schemas and queries for speed and cost, and running Langfuse Cloud plus self-hosted deployments. Core stack: TypeScript, SQL, ClickHouse, Docker Compose, Helm.
First Product Manager for Langfuse (part of ClickHouse): you set long-term product vision and own the quarterly roadmap for an open-source developer tool used by engineers building AI/agentic applications, working closely with founders, engineers, sales, and marketing. It is explicitly not a project-management role — the focus is strategy, market insight, and clear written product briefs.
Senior Machine Learning Engineer at an AI consultancy: you build LLM-powered systems end-to-end for clients — from rapid proof of concept to production — using Python, RAG, agents, and rigorous evals, deployed to cloud (AWS preferred) via CI/CD, in a fully remote, client-facing LATAM team.
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