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Full stack engineer at CarParts.com (auto parts ecommerce) who designs, builds, and owns production systems end to end, with a strong focus on shipping LLM/AI-powered features and using AI coding assistants daily. Core stack spans Python/TypeScript/Java/Go/C#, PostgreSQL and NoSQL databases, cloud platforms, and LLM APIs.
Senior applied engineer on a lean AI team building the agentic platform for Simulations Plus's drug-development modeling software: MCP servers exposing scientific engines, context/RAG knowledge layers, and customer-facing agent flows. Day-to-day is Node.js/TypeScript engineering with Anthropic/OpenAI SDKs, vector stores, and evals.
Camunda is the enterprise platform for agentic orchestration , enabling organizations to coordinate AI agents, people, and systems across complex, end-to-end business processes. With built-in governance, auditability,…
Assess and document security controls for AI/LLM systems in AWS cloud environments, ensuring compliance with DoD and NIST standards while integrating security into DevSecOps pipelines.
Lead Data Engineer (first senior data hire) at an AI start-up in London building an intelligent automation platform for B2C services. Day to day: design batch and real-time data pipelines, vector search and ML data infrastructure using Python, PostgreSQL/NoSQL, Kafka, Spark, and Airflow, while mentoring engineers and shaping data architecture.
Fully remote senior full-stack engineer at a small engineering consultancy, building client and internal products end-to-end: TypeScript backends (Go on some projects), Postgres, React frontends, self-managed Docker/CI-CD deploys, and LLM features like retrieval and agentic workflows. Requires 6+ years backend experience and US-timezone overlap.
Build and maintain scalable backend and full-stack apps using AI tools (Claude Code, LLMs) and Go/React, focusing on automation, performance, and security for a Brazilian online accounting platform.
The Analytics Engineer will own data infrastructure—maintaining ETL pipelines into Snowflake, building Metabase dashboards, and handling ad‑hoc queries—while also designing AI agents and LLM‑driven workflows to automate operations. Core tech: SQL, Snowflake, Metabase, LLMs (Anthropic/OpenAI).
Senior solutions architect leading the design and delivery of enterprise-grade generative and agentic AI systems on AWS for clients, using Amazon Bedrock, SageMaker, and serverless services. Acts as a strategic technical advisor, prototypes in Python, and mentors delivery teams. Remote within the United States.
An onsite Data Engineer role in Brampton, Ontario for a global IT/consulting client, focused on building ETL pipelines, vector search infrastructure (pgvector, Azure AI Search, Redis), and event-driven systems that refresh embeddings for RAG/AI applications. Requires 5-7 years of experience with distributed data systems, SQL, and orchestration tools.
Senior Python engineer building production AI agents and Retrieval‑Augmented Generation systems, designing, implementing, testing, and optimizing agent architectures using FastAPI/Django, PostgreSQL, Redis, Docker, and various LLM APIs and frameworks.
KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and…
Salary: £80,000 - 115,000 per year Requirements: 7+ years of experience in Data Engineering or Backend Engineering. Strong Python development experience. Experience building distributed data platforms and scalable…
DevOps Engineer building and maintaining Azure infrastructure, networking, security, and CI/CD pipelines for AI-driven products (an AI-agent monitoring platform and a deal intelligence platform) on a long-term project for a US-based client, with active use of AI assistants like Claude Code. Remote from Ukraine; 3+ years of experience expected.
Builds end-to-end generative AI solutions for enterprise clients — from rapid prototyping to scalable production — using Python backend services, LLM APIs, RAG pipelines, and autonomous agent systems, while also consulting clients in workshops and stakeholder sparring. Based at German offices/hubs with mobile work options.
Builds production-grade LLM agents and classical ML models for bank collateral evaluation, integrating retrieval, agentic workflows, and risk controls in a regulated finance setting.
Outstaff role at SJ Global for a Senior AI Engineer building production AI/LLM services in Python: agentic workflows, RAG pipelines, LLM API integrations, evaluations, and ML pipelines. Requires 5+ years of commercial experience with strong Python/SQL and hands-on LLM work; remote, full-time, fixed monthly pay.
About the Role We are seeking an engineer who doesn't just "talk" to LLMs but builds autonomous, resilient systems. You will design multi-agent architecture that can reason, use tools, and recover from…
Senior Data Engineer | Python, Vector Databases & AI Data Pipelines | Early Engineer at an AI Platform Rebuilding an Entire Industry's Back Office Salary: £70,000 - £100,000 Location: Victoria, central London.…
Own the design and deployment of AI-powered Accounts Payable solutions using Generative AI, Agentic AI, and LLM engineering to automate invoice processing and supplier workflows on EXL's Finance AI platform.
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