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Senior Full Stack Engineer builds AI-driven public services for UK government, shaping products from discovery to scale using Python/TypeScript, React, and AWS, while mentoring teams and integrating frontier AI models.
Why Great Gray? At Great Gray Group, we strive to set the bar for the retirement services industry. Our goal is to deliver advanced retirement solutions that combine our core fiduciary services with robust investment…
Lead a global KYC and risk data platform team, designing secure, scalable data pipelines and frameworks in Python/PySpark, cloud-native stacks, and modern data tools.
Build and maintain Java/Spring Boot backend services for an enterprise marketing supply chain platform, integrating AI via Amazon Bedrock and pgvector for retrieval workflows.
Build real-time data pipelines and ML workflows on AWS to power AI-driven customer experience features, integrating LLMs and agentic systems for workforce management.
Build and operate an LLM-powered content generation pipeline with safety guardrails, RAG grounding, and image generation, deployed on AWS serverless services.
Build and maintain scalable AWS-based data pipelines and lakehouse architecture, using Python and PySpark to ingest, transform, and serve scholarly publishing data for analytics and AI initiatives.
We are seeking a highly skilled AWS Platform Engineer to build and safeguard our AWS cloud ecosystem. You will be responsible for the end-to-end lifecycle of AWS tenant accounts, ensuring a secure, cost-optimized, and…
Builds and maintains a full-stack web app and integrates enterprise AI solutions using LLMs, RAG, and agentic frameworks in AWS.
Build and scale LLM-powered analytics features for healthcare data, including RAG, text-to-SQL, and agent workflows on AWS and Snowflake.
Build and integrate AI/ML features into a human-performance platform, using cloud-native services (AWS Lambda, Bedrock) and modern web stacks (PHP/Symfony, React) to deploy generative AI workflows and intelligent backends.
Build AI-powered features for an early-education SaaS platform, turning raw workflow data into automated recommendations and actions that help school leaders and teachers save time and make better decisions.
Software Developer AI Developer Skills Required: Python, FastAPI, AWS, PostgreSQL, Async Programming, Background Job Orchestration, Distributed Systems, Retrieval-Augmented Generation (RAG), Vector Search, Embeddings,…
Lead a team to build and deploy large language model applications, fine-tune models, and design RAG systems for mission-critical government use cases.
Build full-stack web apps in Python and React, deploy on AWS, and integrate generative-AI features like RAG and LLM APIs to create data-driven dashboards and search tools.
Maintain and improve the reliability, scalability, and security of PAR’s cloud platforms and SaaS services using observability tools, automation, and Infrastructure as Code.
Leads cloud and AI platform engineering projects, mentors teams, and advises clients on AI-native infrastructure, cost governance, and agentic workflows using tools like Terraform, Kubernetes, and AWS Bedrock.
Design and lead enterprise-scale AI and data architectures, integrating LLMs, RAG, and agentic systems with cloud platforms like AWS, Azure, and Google Cloud.
Build and deploy ML models (propensity, recommendation, LTV) on AWS SageMaker and use LLMs for personalisation and analytics to drive revenue growth in a digital bank.
Designs and advises on agentic AI solutions using Amazon WorkSpaces, guiding customers through adoption and technical implementation.
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