Source Job

Global

  • Design and implement end-to-end AI solutions for document understanding and automated report generation.
  • Build and deploy LLM-based systems, including RAG pipelines, to retrieve and combine context from multiple data sources.
  • Work with unstructured and semi-structured data such as PDFs, documents, images, and historical records, transforming it into usable inputs for AI systems.

Python Azure AWS LLM RAG

20 jobs similar to Applied AI Engineer

Jobs ranked by similarity.

US

  • Design and implement production-grade RAG pipelines and agentic workflows using Python.
  • Evaluate new models and prototype approaches for SBIR/government deliverables.
  • Document architectures and contribute to technical reports for contract deliverables.

Unstructured is focused on transforming unstructured data into a format usable by LLMs. Their Public Sector team works on high-impact contracts and seek to bridge the gap between custom builds and a scalable product roadmap.

Europe

  • Design, develop, and deploy intelligent AI Agents using Python-based frameworks.
  • Architect and implement robust Retrieval-Augmented Generation (RAG) pipelines from scratch.
  • Integrate LLMs into public sector and healthcare applications while ensuring high accuracy and reliability.

Deutsche Telekom IT Solutions, a subsidiary of the Deutsche Telekom Group, is Hungary’s most attractive employer in 2025. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees, serving hundreds of large customers, corporations in Germany and in other European countries.

$35–$50/hr
Global

  • Design and implement LLM-powered application workflows
  • Architect retrieval-augmented generation pipelines
  • Collaborate with backend architects to integrate AI services into APIs

They are seeking a hands-on AI Engineer with deep expertise in Large Language Model integration and production AI systems. The company's culture sounds innovative and collaborative, focusing on building scalable and secure AI applications.

$135,000–$175,000/yr
US

  • Architect and scale the core intelligence behind our platform.
  • Design, build, and optimize the pipelines and agent systems that drive live customer interactions.
  • Build real-time and batch pipelines for ingestion, training, and inference.

Raynmaker is building RaynBrain, an agentic AI platform for complex conversations grounded in machine learning, neuroscience, and forensic linguistics. They empower autonomous systems that interpret, adapt, and act in real time, turning raw leads into revenue without scripts or human handoffs. Raynmaker is a small team helping other small teams move faster and convert more leads.

$160,000–$190,000/yr
US Unlimited PTO

  • Design, build, and deploy production AI agents and multi-agent orchestration systems.
  • Architect RAG pipelines with vector search and knowledge base management for AI-driven support.
  • Build production microservices and APIs serving as orchestration layers for AI agent systems.

Greenlight is a family fintech company helping parents raise financially smart kids. They serve over 6 million parents and kids with their banking app, aiming to ensure every child has the opportunity to become financially healthy and happy.

$130,000–$170,000/yr
US

  • Design AI integration patterns and architecture standards across the SaaS platform
  • Integrate LLM APIs (OpenAI, Anthropic, AWS Bedrock) into production features
  • Establish model evaluation, benchmarking, and observability processes

PerfectServe offers Best in KLAS clinical communication and physician scheduling solutions and is a Leader in the Gartner Magic Quadrant for Clinical Communication and Collaboration. They have seen an 88% growth rate over the past three years.

$88,911–$117,952/yr
Canada

  • Build AI-Powered Features: Design, develop, and deploy production-grade AI applications from concept to deployment.
  • Architect Scalable Systems: Create robust backend architectures that support AI workloads, ensuring low latency and high reliability.
  • Drive AI Innovation: Implement and optimize agentic AI systems, RAG pipelines, and multi-agent workflows using modern LLM frameworks.

Procurify is the AI-enhanced procurement and AP automation platform for mid-market organizations, making it easy for organizations to take control of spending and save money. It is a remote-first company with a big heart and a strong ambition to modernize how organizations manage business spend.

$116,800–$160,600/yr
Canada

  • Build RAG systems: Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid retrieval, reranking and contextual compression techniques.
  • Build LLM powered agent systems : Contribute to design and orchestration of multi-agent LLM systems using community frameworks and custom orchestration layers.
  • Solve complex problems : Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data.

Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. They offer their users the insights and visibility they need to nurture and tap into the opportunities in their team's network. With more than 3,000 customers worldwide, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals.

AI Engineer

M3 USA
US

  • Build AI-powered systems to automate and improve workflows.
  • Work closely with business teams to understand processes and pain points.
  • Use AI coding agents to build software more rapidly than traditional methods.

M3 USA delivers digital solutions to healthcare, life sciences, and pharmaceutical industries. They focus on physician communities globally and have a dynamic, innovative work environment.

Europe

  • Build and ship AI-powered product and internal solutions using LLMs, RAG, tool calling, workflows, and agentic patterns
  • Design quality and evaluation frameworks for AI systems, including offline evals, online signals, failure analysis, and continuous improvement loops
  • Contribute to AI platform and tooling decisions that improve reuse, speed, and consistency across teams

Finom is a European tech startup headquartered in Amsterdam, revolutionizing financial landscape for entrepreneurs. They develop an all-in-one financial B2B solution integrating banking, accounting, financial management, and invoicing into a mobile-first platform and nurture innovation in an inspiring work environment.

US Unlimited PTO

  • Rapidly prototype MVPs using LLM APIs to address business bottlenecks.
  • Develop production-grade internal applications with reliable frontends and robust backends (Python).
  • Design and implement RAG architectures and structured output pipelines grounded in company data.

Bestow is a leading vertical technology platform that serves some of the largest and most innovative life insurers. Their platform unifies the fragmented, legacy value chain, enabling carriers to launch products in weeks instead of years. They are backed by leading investors and trusted by major carriers.

Global

  • Design and develop an AI-powered productivity analytics platform.
  • Build scalable LLM pipelines and create a meta-workflow system.
  • Develop system-level prompt engineering and build an evaluation framework for AI output quality control.

Appflame is a Ukrainian product-driven tech company committed to building world-class products. They have 500+ team members and offices in Kyiv, London, Limassol, and a co-working hub in Warsaw; they value bold, driven people who are passionate about building real products.

Global

  • Build and improve AI-enabled product features from prototype to production.
  • Build and maintain product features and supporting backend components, including services, integrations, and internal workflows.
  • Create automated tests and proactively fix issues to keep releases stable, as engineers own quality without a dedicated QA function.

Varicent transforms the Sales Performance Management (SPM) market by redefining how organizations achieve revenue success. They are a market leader in SaaS solutions, empowering revenue leaders globally to design smarter go-to-market strategies and maximize seller performance.

$115,000–$125,000/yr
US

  • Design and develop AI-enabled services and applications using Python and modern cloud-native architectures.
  • Integrate large language models (LLMs) and AI APIs into production systems to enable intelligent automation and decision support.
  • Build scalable microservices and APIs that support AI-driven workflows and data processing.

Mind Computing designs, develops, and deploys AI-enabled applications that improve healthcare workflows, automate complex processes, and support data-driven decision-making. They foster a collaborative development environment to build scalable systems and integrate modern AI capabilities into cloud-based platforms.

Europe

  • Build and deploy AI models with RAG and tool calling for various product features.
  • Collaborate with frontend and backend engineers to bring AI features into production.
  • Stay updated with the latest AI research and propose innovative applications relevant to Finom’s mission.

Finom is a European tech startup headquartered in Amsterdam, revolutionizing financial services for entrepreneurs. They offer an all-in-one B2B financial solution integrating banking, accounting, financial management, and invoicing into a seamless, mobile-first platform, actively expanding across key EU markets.

Global 4w PTO

  • Lead AI-driven transformation of internal processes across the company
  • Design and implement LLM-based agent pipelines, including multi-agent systems
  • Build and maintain RAG architectures

Ideals is a global B2B SaaS product company recognized as the most highly rated and customer-centric brand in the secure business collaboration market. They are trusted by over 2,000,000 users from 300,000 companies globally, helping people run high-stakes processes and make important decisions.

US

  • Develop, test, and deploy LLM-powered extraction pipelines for clinical text at scale.
  • Automate prompt execution, result validation, and error handling to enhance reliability.
  • Monitor and maintain production AI models, ensuring uptime, accuracy, and compliance.

iCIMS is a software company. The job posting mentions thriving in a start-up environment.

Australia

  • Design and optimise AI-ready tools and APIs that enable LLM platforms to reliably interact with Canva's design capabilities.
  • Build and maintain evaluation frameworks to systematically measure tool-use accuracy across platforms.
  • Experiment with LLM orchestration and agent architectures – Develop Canva agents that any 3rd party provider can call to design quickly, efficiently and at scale.

Canva is a platform redefining how the world experiences design. They have a flagship campus in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, Adelaide, and Auckland, NZ.

Europe

  • Own the architecture and delivery of production-grade LLM systems and classical ML solutions.
  • Design, evaluate, and optimize RAG pipelines (retrieval strategy, chunking, indexing, monitoring).
  • Build scalable, production-grade LLM services and agentic workflows, alongside traditional ML systems where appropriate.

Hiflylabs is a team of 250+ data and tech enthusiasts based in Budapest. They focus on data engineering, data science, artificial intelligence and application development, working on a wide range of projects around the world. Hiflylabs values its people and is committed to nurturing their personal and professional development through a mentoring system.

$140,000–$160,000/yr
US 4w PTO

  • Design and build agentic AI systems and RAG pipelines for production features across the marketplace.
  • Integrate LLMs into product experiences across search, categorization, communication, and trust & safety.
  • Partner with Data Scientists and Engineers to turn research into shipped products.

OfferUp is dedicated to creating the simplest and most trusted way for people to buy, sell, and connect in their local communities. OfferUp used by more than 1 in 6 adults in the U.S. in 2024.