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Build and scale backend systems and data pipelines that integrate AI/ML into FICO’s fraud and decision platforms, using Python/Go/Java, Spark, Kafka, and vector databases.
Design and build scalable AI-powered backend systems using Python, Django/FastAPI, and LLM APIs, with real-time features and vector embeddings for context-aware responses.
Build production-grade AI apps using LLMs, RAG, and Agentic AI on AWS; develop secure Python services, containerized microservices, and Kubernetes deployments for public-sector initiatives.
Design and lead enterprise AI data architectures, including RAG pipelines, vector indexing, and governed data products for AI agents, ensuring accuracy, compliance, and scalability across cloud platforms.
Forward Deployment Engineering Manager Location: United States Department: Strategy & Ecosystem About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a…
Build an AI-native contract performance platform using Laravel, React, and LLMs to turn contracts into real-time financial intelligence for European mid-market businesses.
Senior backend engineer building AI-powered legal workflows that review contracts in Word and the browser using retrieval, RAG, and multi-step pipelines.
Build and maintain an AI-powered content platform that ingests textbooks and manifests, converts them to structured data, and serves them via APIs for downstream apps like a teacher assistant.
No other company in our industry is supercharging the way they work and serve their clients like OneDigital. Fresh thinking has always been the core of OneDigital’s vision and growth strategy. It’s how we stand out in…
Robots & Pencils is seeking a seasoned AWS AI Solutions Architect to lead the design and delivery of complex, enterprise-grade generative and agentic AI systems built on Amazon Web Services. You will architect…
Principal Data Architect and Manager leads the design and operation of Apple’s petabyte-scale data backbone, defining real-time architectures for entity resolution, multimodal ingestion, and LLM-powered enrichment that power personalized experiences across Apple platforms.
Lead the design and operations of Apple’s real-time data platform, building ETL/ELT pipelines, multimodal data processing, and ML inference integrations to power intelligent search and analytics.
Build and deploy production-grade LLM-powered services at scale, owning MLOps/LLMOps pipelines, inference optimization, and safety guardrails for Apple’s AI features.
Java Developer Location: Jaipur, India; Indore, India; Gurgaon, India Department: Apps-2 Experience: 4 to 6 years Skills: spring boot, microservices, Java, cloud & devops, kafka Java Backend Developer Job Summary…
Build and ship LLM-powered features for an aviation AI platform, including retrieval flows, tool-calling, evaluations, and production services using Python/TypeScript and frameworks like LangChain.
Build ML-driven data-mining tools to find and rank the most valuable autonomous-driving moments from petabytes of fleet data, using retrieval, ranking, and vector search at scale.
AI/ML Architect - Talent Pipeline Team: Planned Hiring Location: Onshore Commitment: Bench hiring Workplace Type: remote BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year.…
Software Development Engineer - II | Backend (AI POD) Department: Product, Engineering, Design Location: SpotDraft HQ, Bengaluru Employment Type: FullTime About SpotDraft SpotDraft is on a mission to help legal and…
Python-разработчик поддерживает и доводит до продакшена AI-агентов для корпоративных депозитов, рефакторит код, пишет критически важные компоненты и внедряет надежные обвязки для LLM.
Senior AI Engineer builds and deploys multi-agent systems and RAG pipelines to automate complex enterprise workflows, integrating with platforms like SAP and Jira using Python, FastAPI, and AWS.
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