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Builds and deploys AI-driven software systems (LLM/RAG, full-stack, cloud) for Adé AI’s enterprise clients, focusing on scalability, mentorship, and cross-functional collaboration in a hybrid work environment.
AI Consultant providing technical leadership for building and deploying scalable ML/LLM/SLM applications—including RAG pipelines, custom agents, multimodal systems, and cloud/MLOps infrastructure—on a part-time remote contract basis.
The ML Engineer integrates AI/ML models into production, optimizes inference pipelines, manages CI/CD workflows, and builds Agentic/multimodal AI systems using Python, PyTorch/TensorFlow, Docker, Kubernetes, and cloud platforms.
Builds and deploys generative AI and agentic systems using LLMs, LangChain/LangGraph, and Python to automate workflows and support healthcare applications.
Senior Software Engineer building AML transaction monitoring and batch data pipelines using Scala, Spark, Kafka, and cloud platforms (Azure/AWS/GCP) to support financial crime prevention at a large bank.
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Senior Backend Engineer building and scaling web scraping infrastructure and LLM-powered data normalization pipelines for a healthcare data company, using Python, SQL (Postgres), and AWS.
Build and ship production-grade agentic AI systems that automate financial workflows and power LLM features for real customers in a regulated fintech environment.
Develops AI agents and automation tools for electronic design workflows, integrating LLMs, simulation engines, and EDA software using Python and modern AI/ML techniques.
Lead a team of data scientists and AI engineers to build and deploy AI models that accelerate biologic drug development, including LLMs for knowledge retrieval, digital twins for process optimization, and agentic systems for regulatory authoring.
Build production agentic AI systems for financial workflows using LLMs, orchestration, and RAG pipelines in Python/Go/TypeScript on AWS/GCP.
Role Overview We are seeking a Full Stack Applied AI Engineer to build and deliver production grade, AI powered applications. This role focuses on applied and agentic AI, integrating LLMs into real-world full stack…
Build AI/ML systems that design better clinical trials using GenAI, agentic frameworks, and scientific datasets to cut costs and speed up drug development.
Define the architecture for Cordant, an industrial software platform that connects edge devices, cloud, and AI to optimize operations for energy and manufacturing customers.
Build and operate AI infrastructure to integrate LLMs into HPE’s training and documentation systems, focusing on production reliability, cost, and integration of vendor APIs.
Lead the enterprise AI architecture strategy for a global fintech firm, defining standards for generative AI, LLMs, and agentic systems while ensuring compliance and security in a regulated financial environment.
Designs, builds, and deploys production-grade AI systems (LLMs, RAG, agents) for Westpac’s banking platform, ensuring scalability, governance, and enterprise reliability while mentoring teams and setting AI engineering standards.
Staff Engineer leading architecture, design, and hands-on development of enterprise AI/GenAI solutions—LLMs, RAG, and agentic workflows—using Python, FastAPI, LangChain/LangGraph, and Azure OpenAI at a global life-sciences company.
Hands-on technical leadership role designing, developing, and deploying advanced AI/ML solutions—including LLM applications, RAG, and agentic workflows—for scientific products at a major life sciences company. Core stack: Python, PyTorch, LangChain, LangGraph, Azure OpenAI, and vector search.
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