Source Job

$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

Python FastAPI RAG LLM AI

20 jobs similar to AI Engineer

Jobs ranked by similarity.

US Unlimited PTO

  • Architect and deploy autonomous AI agents and multi-agent workflows.
  • Design strict-source-following Retrieval-Augmented Generation (RAG) systems.
  • Build scalable backend services using FastAPI.

Osano is an innovative B-Corporation focused on giving modern enterprises the ability to innovate quickly and earn customer trust by respecting data privacy and complying with consent guidelines. We are scaling fast with a multi-year runway and ambitious growth plans.

$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.

$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.

$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.

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.

LATAM

  • Design and implement complex AI agents and multi-agent workflows using frameworks like LangChain or LangGraph.
  • Build and maintain scalable, high-performance backend services using Python to support AI-driven features.
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to provide agents with accurate, context-aware information.

We are a Managed Nearshore Teams provider headquartered in Austin, specializing in building and embedding high-performing software development teams. Our model allows you to work on international challenges, collaborate with diverse teams, and grow your career while being part of a company that values expertise, creativity, and impact.

Europe US 3w PTO

  • Architect and implement AI-powered capabilities: code generation, intelligent node creation, and workflow optimization
  • Integrate LLM APIs and embedding models for text-to-workflow and natural language code suggestions
  • Design and iterate on prompts to improve model output and user experience

N8n is an open workflow orchestration platform built for the new era of AI. They give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. The company has a diverse team of over 220 working across Europe and the US.

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.

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.

$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.

Europe

  • Map complex workflows and identify constraints.
  • Design AI-powered solutions to alleviate bottlenecks.
  • Integrate AI capabilities via APIs and leverage advanced patterns.

EXO ARNVIND is assisting their client, a global leader in AI-driven workflow transformation, in finding a Senior AI Engineer. In this remote-first role within EMEA, you'll solve business constraints and deliver measurable impact.

Europe US 3w PTO

  • Architect and implement AI-assisted workflow building capabilities.
  • Design systems that provide LLMs with the right context: workflow state, user intent, constraints, and history.
  • Build tool-driven agent behaviour: calling internal tools, validating outputs, correcting mistakes, and recovering gracefully

n8n is the open workflow orchestration platform built for the new era of AI. They give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Since their founding in 2019, they’ve grown into a diverse team of over 220 working across Europe and the US, connected by a shared builder spirit and with their centre of gravity in Berlin.

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.

$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.

Europe

  • Design and build AI solutions for real-world business problems.
  • Own the end-to-end lifecycle of AI features.
  • Develop and optimize LLM-based applications.

Remote People is building the infrastructure to power borderless teams. Their technology handles global payroll, benefits, taxes, and compliance, enabling businesses to hire anyone anywhere compliantly at the push of a button. They are committed to building a global, diverse team representing different and varied backgrounds, perspectives, and experiences.

US

  • Focuses on simplifying the infrastructure behind large language model (LLM) integrations, runtime orchestration, and data workflows.
  • Work at the intersection of LLM tooling, serverless infrastructure, and financial data systems.
  • Make spawning new research pipelines seamless and scalable.

The client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. They help customers by working with the world’s leading AI labs to advance frontier model capabilities and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

Global 6w PTO

  • Build and ship AI-powered product features using LLMs and generative models
  • Develop and maintain services and APIs around ML models
  • Integrate AI models into production systems and user-facing applications

Social Discovery Group (SDG) is the 3rd largest social discovery company in the world, uniting 60+ brands with 500 million users. They transform virtual intimacy into the new normal by solving the problems of loneliness, isolation, and disconnection. Their international team of 1200 professionals and digital nomads works all over the world.

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.

India 7w PTO

  • Design and implement production-scale AI agent systems and orchestration frameworks.
  • Deploy and optimize LLMs/SLMs in production with fine-tuning techniques.
  • Build data pipelines for training data curation, synthetic generation, and PII masking.

FourKites is the leader in AI-driven supply chain transformation for global enterprises and a pioneer of advanced real-time visibility. They turn supply chain data into automated action helping 1,600+ global brands prevent disruptions. They provide competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe.

US Canada

  • Ship AI-powered products and tools from zero to production.
  • Architect systems that scale beyond demos.
  • Work across the full stack.

Human Agency partners with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. They are scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines.