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About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to…
Principal AI Engineer at Strive Health builds and deploys internal AI tools like copilots and automations to improve healthcare operations, working closely with clinical and business teams using platforms such as Claude Code and Glean.
Principal AI Engineer at Mitratech designs and builds AI-driven systems in Python, sets technical direction for multiple teams, and leads GenAI/LLM application development on AWS.
Data scientist on AMD's AECG Pricing & Profitability team building AI/LLM pricing tools, machine-learning models for pricing and margin forecasting, and automated reporting pipelines on Snowflake. Hybrid role in San Jose, CA (3 days in office); not eligible for visa sponsorship.
Product manager at AMD defining strategy for CPU-based AI workloads (Agentic AI, inference, RAG, Speculative Decode) on EPYC processors. Day to day: leading cross-functional teams, defining product requirements, running customer POCs, and driving go-to-market to grow Cloud and Enterprise AI revenue.
Senior Software Developer in Barcelona building AI tooling, agent infrastructure, and integration layers for Shiji's hotel technology platform. Day-to-day is Python backend work on AWS, heavy use of AI coding assistants, and developing agentic AI systems from PoC to production.
Senior backend developer joining a new Shiji Group team in Katowice building AI-driven products and platform infrastructure — AI tooling, agent infrastructure, and integration layers for the Shiji Enterprise Platform for hotels. Day-to-day work is primarily Python backend and cloud-native development on AWS, with heavy use of agentic AI frameworks and AI coding assistants.
Remote Senior Lead AI Engineer (hired via OutForce, a Philippines-based outsourcing firm, working US hours) serving a US engineering/consulting client. Leads end-to-end delivery of enterprise AI/ML — mentoring engineers, owning LLM/RAG architecture, and staying hands-on with Python, PyTorch/TensorFlow, cloud platforms, and MLOps.
AI/ML engineer at DataZymes in Bengaluru building and productionizing GenAI applications (RAG, multi-agent systems, Text2SQL, fine-tuning) for healthcare/pharma analytics clients. Core stack: HuggingFace, LangChain, DSPy, pandas, scikit-learn, PyTorch, and cloud ML platforms (AWS/Azure/GCP); Databricks/Spark is a plus.
Senior fullstack developer at Codezyng in Udupi, India, designing and maintaining scalable web applications end to end: TypeScript/Node.js backend services and REST APIs/microservices plus modern frontend frameworks (React, Angular, Vue). The role also expects knowledge of RAG, vector databases, and system design, with cloud and DevOps skills a plus.
Seekr is hiring a Staff AI Engineer/Scientist to develop explainable and trustworthy AI systems for mission-critical applications. The role involves bridging research and production engineering to build capabilities for model interpretability, contestability, and hallucination mitigation.
Seekr is hiring an AI Engineer to develop and deploy generative and predictive AI solutions for US Government customers. The role involves building agentic workflows, fine-tuning LLMs, and creating prototype applications using Python and various AI frameworks.
Write and maintain docs for Seekr’s AI platform and developer tools, covering installation, deployment, APIs, and AI concepts for technical users.
Design and build explainable AI systems that help users understand and contest AI outputs, working with LLMs, RAG, and agent frameworks in a hybrid Austin or Reston office.
Forward Deployed Engineers embed with clients to deploy production-grade AI systems using SeekrFlow, specializing in LLM fine-tuning, agentic workflows, and Kubernetes-based deployments across cloud/on-prem environments.
Senior AI Engineer in EY Ireland's AI Lab in Dublin, building LLM-driven and multi-agent solutions for global clients. Day to day involves developing generative AI/RAG pipelines and agentic systems with Python, Azure OpenAI, LangChain/LangGraph and Hugging Face, deployed on cloud with MLOps tooling.
Hands-on AI architect/team lead in EY's Financial Services Technology Consulting practice in Dublin, building and deploying enterprise GenAI, LLM, RAG, and multi-agent AI solutions for banking, insurance, and wealth/asset management clients. Core stack: Python, Docker/Kubernetes, LLM providers (OpenAI, Anthropic, Gemini), vector DBs, and AWS/Azure/GCP with LLMOps/MLOps.
A client-embedded AI engineer/manager in EY's AI & Data practice who turns ambiguous business problems into enterprise AI solutions — prototyping and deploying LLMs, RAG, agents, and classical ML into production in regulated, large-scale environments — while owning delivery, monitoring, and client enablement. Core stack: Python, Azure/GCP/AWS, vector stores, MLOps/LLMOps.
A client-embedded technical leadership role in EY's AI & Data practice: the Senior Manager translates business problems into enterprise AI use cases and takes solutions from prototype to production using LLMs, RAG, agents and traditional ML, deployed on cloud, hybrid or on-prem client infrastructure, while leading teams and supporting pre-sales.
Staff engineer building and maintaining AI agent evaluation systems, RAG pipelines, and testing frameworks to ensure reliability and safety of LLM-powered identity verification features.
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