Tech jobs
Job listings
(Senior) AI Engineer - Data & AI Organisation (all genders)
Build and deploy enterprise-grade AI solutions using LLMs, predictive models, and agentic workflows on AWS, Snowflake, and Palantir Foundry to deliver scalable analytics and insights across Merck’s business functions.
Remote Software Developer Lead (Python +Ai)
Lead a team building internal Python tools and analysis workflows that integrate LLMs as assistive components, ensuring human validation and explainable outputs.
Remote Lead Software Developer
Lead a team of senior developers, set architecture for large-scale projects, and integrate AI/ML into government-focused systems using Python, React, cloud platforms, and modern AI frameworks.
Staff AI Engineer
Staff AI Engineer builds, evaluates, and scales AI features for a healthcare platform, setting safety and quality standards while coaching teams on agentic systems and LLM best practices.
Senior Software Engineer
Build and maintain Android/iOS mobile apps for connected medical devices, integrating BLE, cloud APIs, and OTA firmware updates while ensuring compliance with healthcare regulations.
AI Software Engineer
Build and deploy AI-powered NLP/LLM features for a SaaS quality-management platform used by global contact centers, working with Python, Hugging Face, and AWS.
Full-Stack Python/JavaScript Engineer - Automation Builder - MLOps
Build and deploy LLM-powered automation agents for pharma workflows using Python/JavaScript, PostgreSQL, vector DBs, and n8n on an NVIDIA DGX Spark AI sandbox.
Software Engineer, AI
Builds and improves AI/ML models that power Pave’s compensation platform, using real-time pay data to help companies make data-driven pay decisions.
Microsoft AI Engineer
Build and deploy AI-powered workflows in Microsoft’s ecosystem (Azure OpenAI, Foundry, AI Search) to automate enterprise processes like HR and finance, using RAG, agentic workflows, and prompt engineering.
Prompt Engineer / LLM Application Developer
Designs and refines LLM prompts, builds AI-powered features end-to-end, and integrates them into product workflows using React/TypeScript, Node/Python, and AI-native tools like Cursor and Claude Code.
Data Scientist
Build AI-powered retail applications using Python, OpenAI APIs, LangChain, and LangGraph to create intelligent workflows and LLM-driven solutions.
Infrastructure Engineer - Kubernetes Platform
Design, operate, and scale Kraken’s Kubernetes platform to support global crypto and fintech services, ensuring reliability, security, and performance for all workloads.
Full-stack Developer (Next.js / TypeScript / Python)
Build and extend a SaaS influencer-marketing platform with a conversational AI chat, back-office, and ML-powered analytics using Next.js/TypeScript on the frontend and Python/Flask on the backend.
Infrastructure Engineer - Core Infrastructure
Design and maintain Kraken’s OpenStack and Ceph-based infrastructure, automating compute, storage, and networking to support global crypto and fintech services.
AI Prompt Engineer
Build and refine AI tools (Custom GPTs, Copilot Agents) to automate hotel operations like scheduling, workflows, and forecasting, using Snowflake data and hospitality tech stacks.
AI Data Platform Engineer — Remote & Hybrid
Build AI-enabled use cases and standardize BI datasets using Azure OpenAI, Fabric, and Salesforce to drive business value.
AI Software Engineer – LLM, RAG & Cloud Apps
Builds and maintains AI-powered cloud apps using LLMs, RAG pipelines, and vector databases for Doghouse’s SaaS and client projects.
Data Engineer
Builds and deploys production-grade AI/data pipelines: LLM apps (RAG, agents), graph/ETL workflows, and cloud-native data platforms using Python, FastAPI, Airflow, Snowflake, and vector stores.
AI Automation Engineer
Design and deploy AI-powered workflows and agents using LLMs and automation tools to automate business processes and improve productivity.
AI / Data Platform Engineer
Build and deploy AI-enabled use cases using Azure OpenAI and Power BI to deliver data-driven insights for veterinary sales teams, integrating structured business data into real workflows.