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Evaluates and refines AI-generated educational content by analyzing datasets, verifying claims, and creating training scenarios to improve large language model accuracy.
Design and own AI agents for enterprise data transformation, retrieval, and code generation using Python, vector databases, and cloud infrastructure.
Job Title: MLOps Platform Developer Location: London Salary: Depending on experience Job Type: Full time, Permanent This is a rare opportunity to be first in the door to continue the development of our engineering…
Analyze and deploy GenAI-driven analytics to enhance decision-making in life insurance, using Python, Databricks, and prompt engineering to quantify business impact.
Build and operate an LLM-powered content generation pipeline with safety guardrails, RAG grounding, and image generation, deployed on AWS serverless services.
Tune and validate sanctions-screening engines for a fintech compliance team, analyzing customer data to reduce false positives and ensure regulatory alignment.
Architect real-time computer vision systems for Apple devices, balancing algorithm performance with hardware and firmware constraints to deliver cutting-edge on-device experiences.
Build and operate cloud services for a video security platform, handling media ingestion, processing, and delivery at scale using AWS-native tools and AI-assisted workflows.
Research and develop quantization, pruning, and inference optimizations for LLM/VLM and MoE models to run efficiently on GPUs and NPUs.
Builds and maintains LLM training, fine-tuning, and inference pipelines on AWS using PyTorch, vLLM, and FastAPI to power a healthcare platform’s AI features.
Build, validate, and deploy real-time ML models for fraud detection, credit scoring, and risk modeling that power an AI agent platform for TradFi and DeFi institutions.
Build and deploy enterprise-scale data pipelines and AI workflows on Google Cloud, focusing on Text-to-SQL, LLM evaluations, and synthetic data generation for large customers.
Build and scale the data infrastructure that powers LLM training, fine-tuning, evaluation, and RAG systems using cloud tools like AWS Glue, EMR, and Kubernetes.
Build and maintain AI-powered document parsing pipelines, OCR/VLM systems, and RAG knowledge bases on Azure to extract and structure data from PDFs, images, and videos for GenAI applications.
Build full-stack AI features for a fintech startup: Next.js/Tailwind frontend, Python/FastAPI backend with OpenSearch and RAG pipelines to power investment research agents.
Senior/Staff DevOps/SRE engineer at Mistral AI to deploy and scale AI products for enterprise customers, handling infrastructure, CI/CD, and cloud/on-prem setups.
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.
Summary We are seeking a Software Engineer (Applied AI) who can help us build the next generation of AI-powered workflows at Avallone. This is a hands-on engineering role focused on turning recent advances in AI into…
Deploys and fine-tunes vision-language and visual foundation models for industrial clients, integrating them into manufacturing, logistics, and other operational systems.
Build and enforce production-grade GenAI features for a fintech revenue automation platform, ensuring reliability, cost control, and safety in billing and revenue workflows.
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