Browse Backend Jobs
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84 jobs found for "RAG"
Page 1 of 5
Python Developer
…integrate LLM-based applications using OpenAI, Azure OpenAI, or other LLM APIs. Design and implement RAG pipelines using vector databases and enterprise data sources. Develop AI applications using LangChain, LangGraph, or similar … solution design sessions. Stay current with emerging developments in Generative AI, LLMs, Agentic AI, RAG, and AI engineering. Required Skills 7–10 years of professional software development experience. Strong hands-on expertise…
Senior Software Development Engineer - GenAI Platform
…build, and operate Python/FastAPI backend services and APIs that power GenAI Platform capabilities such as RAG managers, data planes, and vector store services, with strong focus on system design, API design … external LLM providers, Elasticsearch-based vector stores, and Aurora PostgreSQL as part of scalable, reliable RAG and retrieval workflows across multiple domains. Contribute to and evolve GenAI platform guardrails and safety features…
Python Developer
…Python automation, REST APIs, AI/LLM frameworks, cloud technologies, and CI/CD practices. Experience with Generative AI, RAG applications, and AI agents is highly desirable. Key Responsibilities Design, develop, and maintain scalable automation solutions … data pipelines. Develop AI-powered applications using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Integrate AI services such as OpenAI, Azure OpenAI, Claude, or Gemini into enterprise applications. Develop RESTful…
Mid-Level Python Developer (GenAI)
…Connect LLMs and AI agents to internal and external APIs, databases, and third-party tools. RAG Implementation: Build and optimize retrieval-augmented generation (RAG) pipelines using vector databases and structured outputs … Integration: Practical experience integrating LLM APIs and provider platforms (e.g., OpenAI, Anthropic, Google Vertex AI). RAG & Vector Search: Working experience with vector databases (Pinecone, Weaviate, pgvector) and search/retrieval patterns. Python & API: Strong…
Senior Python / GenAI Developer
…application lifecycle, from a React-based “Agentic Canvas” frontend to Python services that orchestrate complex RAG pipelines and agentic workflows on Google Cloud Platform (GCP) . This is a hands-on engineering role … systems that integrate AI models with real enterprise data and operational systems. Key Responsibilities Develop RAG Pipelines: Design and implement backend services in Python (FastAPI) to ingest, chunk, embed, and retrieve unstructured…
Mid-Level Python Developer (GenAI)
…Connect LLMs and AI agents to internal and external APIs, databases, and third-party tools. RAG Implementation: Build and optimize retrieval-augmented generation (RAG) pipelines using vector databases and structured outputs … Integration: Practical experience integrating LLM APIs and provider platforms (e.g., OpenAI, Anthropic, Google Vertex AI). RAG & Vector Search: Working experience with vector databases (Pinecone, Weaviate, pgvector) and search/retrieval patterns. Python & API: Strong…
LangChain and Python Developer – Singapore
…Models (LLMs) and the LangChain framework. This role focuses on developing, optimizing, and deploying sophisticated RAG (Retrieval-Augmented Generation) systems and generative AI applications. Key Responsibilities LLM Application Development: Design and implement … Python and the LangChain framework to orchestrate complex LLM calls, agents, chains, and custom tools. RAG System Engineering: Develop and optimize data pipelines for ingestion, chunking, embedding generation, and vector database indexing…
Python Developer
…with a clear path to grow into AI engineering as you work more with LLMs, RAG systems, and agentic architectures. If you're curious about AI and want to learn by doing … Build adapters and connectors to integrate enterprise systems Gradually take on more AI-focused work: RAG pipelines, prompt engineering, agent development What We're Looking For 2+ years working with Python…
Python Developer New
…services; Hands-on experience with Generative AI, Large Language Models (LLMs), and/or Retrieval-Augmented Generation (RAG); Experience with message brokers, such as RabbitMQ, Kafka, or similar; Solid understanding of distributed systems, asynchronous … backend services using Python; Build and integrate AI-powered solutions leveraging Generative AI, LLMs, and RAG; Design and implement asynchronous, event-driven architectures using message brokers; Collaborate with cross-functional teams…
Python Developer
…Gemini/OpenAI models, prompt design, reasoning patterns, function calling, structured outputs, grounding, and agent evaluation techniques. • RAG : Experience building Retrieval-Augmented Generation (RAG) solutions using vector databases & embeddings. • Production AI Engineering: Knowledge…
Python Developer
…APIs and backend services using FastAPI, Flask, or Django. Design and implement Retrieval-Augmented Generation (RAG) solutions and AI-assisted workflows. Work with vector databases and embedding models to support semantic search … Experience with LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar AI orchestration frameworks. Knowledge of RAG architecture, embeddings, and vector databases such as Pinecone, FAISS, Weaviate, or ChromaDB. Proficiency…
Python & GenAI Developer
…applications powered by LLMs. Build AI workflows and intelligent agents using LangChain and LangGraph. Implement RAG pipelines and semantic search using VectorDatabases. Work with SQL and NoSQL databases to manage data efficiently … knowledge of REST APIs and integrations. Awareness of Generative AI concepts, LLMs, prompt engineering, and RAG. Familiarity with LangChain, LangGraph, or vector databases such as Pinecone, Chroma, FAISS, Weaviate, or Qdrant…
Développeur back-end | Python
…solutions d'Intelligence Artificielle et de Machine Learning à fort impact (plateforme MLOps, architecture RAG as a Service, portail sécurisé d'accès aux LLM). Au quotidien, tes responsabilités seront les suivantes : - Construire … opportunité de travailler sur des cas d'usage novateurs à grande échelle (RAG, IA Générative, MLOps) au sein d'un environnement moderne et agile. Tu apporteras une contribution directe à des produits…
Senior Python Developer
…ServiceNow Jenkins GitHub/GitLab Kubernetes Terraform Develop REST APIs and backend services. Implement Retrieval-Augmented Generation (RAG) using enterprise knowledge bases. Work with cloud platforms such as Azure, AWS, or GCP. Optimize chatbot … Server PostgreSQL MongoDB Redis Preferred Qualifications Experience building AI Assistants or Enterprise Chatbots. Knowledge of RAG architecture and prompt engineering. Experience with Microsoft Copilot Studio, Azure AI Foundry, or Bot Framework. Understanding…
Ingénieur(e) Backend
…développement de pipelines de données et d’applications intégrant des systèmes d’IA générative, RAG ou des agents IA. Très bonne maîtrise de PostgreSQL, Redis et Elasticsearch, ainsi qu’une solide compréhension … problématiques techniques variées : APIs, microservices, pipelines de données, moteurs de recherche, IA générative, systèmes RAG et automatisation. Collaborer avec une équipe expérimentée et contribuer directement à un produit utilisé en production, dans…
Lead Java Developer
…Bedrock, or Google Vertex AI Experience with LLMs (GPT, Claude, Gemini, Llama, etc.) Prompt Engineering RAG (Retrieval-Augmented Generation) Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate) AI Agent Frameworks (LangChain, LangGraph, Semantic Kernel … implement scalable microservices and APIs. Integrate AI/Generative AI capabilities into business applications. Build and optimize RAG-based and AI-powered solutions. Collaborate with AI, Product, and Business teams to deliver innovative solutions…
Senior Backend Engineer
…distributed systems, databases, concurrency and asynchronous processing Hands-on experience with LLMs, AI agents, RAG, embeddings or model-driven applications Someone who can look at an ambiguous problem and work … Tech Stack FastAPI / Django PostgreSQL AWS Redis / Celery / Kafka Vector databases Agent orchestration / tool calling RAG / retrieval systems LLM evaluation and observability AI-native products High-growth startups Strong open-source projects…
Python Developer
…OpenAI, Azure OpenAI, Gemini, or Anthropic Claude. Develop AI-powered applications using Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering techniques. Collaborate with Data Scientists, Product Owners, and Engineering teams … with: OpenAI / Azure OpenAI LangChain / LangGraph Vector Databases (FAISS, Pinecone, ChromaDB, Weaviate) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Agents / Agentic AI Frameworks Understanding of NLP concepts and AI application development. Experience…
Senior Software Engineer (Node.js, React)
…team's AI/agentic capabilities. You'll design and ship intelligent features (LLM integrations, agentic workflows, RAG systems) while mentoring others on engineering excellence and responsible AI development. We're looking for someone … Architect and deliver AI/agentic product features: LLM integrations, multi-step agentic workflows, tool-use patterns, RAG pipelines, and intelligent automation. Lead AI-augmented development practices using Claude Code and agentic coding workflows…
Lead Software Engineer - Backend Java, Markets Tech
…others to ensure engineering excellence Build and integrate AI/ML and GenAI into production platforms—LLMs, RAG, embeddings, vector databases, and MLOps for lifecycle management, monitoring, and governance. Identifies opportunities to eliminate … critical financial systems Hands-on experience integrating AI/ML and GenAI into enterprise applications, including LLMs, RAG pipelines, embeddings, vector stores/databases, model evaluation, and production monitoring (MLOps). Demonstrated experience leading effective…