Browse Backend Jobs
Search 46 curated tech job listings scraped in real-time from LinkedIn, Glassdoor, RemoteOK, and more. Filter by role, location, seniority, and source to find your next opportunity.
46 jobs found for "Rag pipeline"
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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…
Principal Python Backend Engineer
…platform that connects tools, agents, data, and models—designing clean service abstractions, building resilient processing pipelines, shipping developer-friendly APIs and SDKs, and turning rapid prototypes into well-engineered, maintainable Python systems … vector databases and multistep Search/Information Retrieval pipelines Own automated real-time data ingestion for RAG: connectors, streaming pipelines, chunking/embedding strategies, parallel processing, retrieval metrics, resilience & restartability while guaranteeing ACID integrity of processed…
Mid-Level Python Developer (GenAI)
…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. AI Safeguards: Implement standard safeguards … 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…
Mid-Level Python Developer (GenAI)
…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. AI Safeguards: Implement standard safeguards … 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…
Python Developer
…start by building APIs, data pipelines, and integrations - with a clear path to grow into AI engineering as you work more with LLMs, RAG systems, and agentic architectures. If you're curious … 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…
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…
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…
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 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…
Senior Backend Engineer
…other internal business systems Experience with event-driven architecture or workflow engines Familiarity with RAG pipelines, vector databases, or agent frameworks DevOps skills: Docker, IaC, cloud deployment (AWS, GCP, or Azure) Experience…
Python Developer (Senior Track)
…scale. You'll also get exposure to what F24's AI engineers are building on RAG pipelines, MCP servers, and LLM streaming integrations — a great environment if you want to stretch into…
Python Developer
…Multi-threading and memory management and concurrency Preferred Skills : •Experience in GenAI lifecycle management and RAG pipelines •Experience with ETL. MongoDB and Hadoop will be an advantage •Experience working with agile methodologies…
Python Developer With Airflow
…squad’s Agile rituals. You will bring your expertise on topics such as APIs, RAG, data pipeline development (Airflow), and data preparation (Elasticsearch), where a strong command of Python will be required…
Senior Java Engineer
…Practical experience with Java AI frameworks: Spring AI, LangChain4j, or building custom orchestration pipelines. Demonstrated experience with RAG patterns: document chunking, embeddings generation, vector search, and reranking. Understanding of prompt engineering, structured…
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 … 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 to improve RAG…
Senior Python Backend Developer (mwd) bei Siemens Energy
…wünschenswert, beispielsweise: Entwicklung von Backend-Services für LLM-Anwendungen; Arbeit mit Vektordatenbanken RAG-Architekturen; LangChain oder LlamaIndex Pipelines zur Dokumentenverarbeitung; Integration von KI-Modellen über APIs Programmierung Python (mindestens 5 Jahre Erfahrung…
Python Developer
…sticky sessions. Ability to design APIs and database schemas from scratch. Understanding of RAG architectures, embeddings, and retrieval pipelines. Hands-on experience with LangChain or similar LLM orchestration frameworks. Familiarity with Grafana…
Python Developer
…interest in Large Language Models (LLMs) Familiarity with Retrieval-Augmented Generation (RAG) concepts Familiarity with Docker or CI/CD pipelines Personal projects, internships, or open-source contributions that show your interest in software…
Ingénieur(e) Backend
…environnement de production. Expérience dans le 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 … nombreux autres avantages. Travailler sur des 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…
Senior Python Developer
…Python. Build AI/ML and Generative AI solutions using LLMs, NLP, RAG, or AI agents. Develop REST APIs, microservices, and data-processing pipelines. Integrate AI models into production-ready applications. Contribute to system … microservices, and distributed systems. Hands-on experience with Generative AI, Machine Learning, NLP, LLMs, or RAG. Experience with PyTorch, TensorFlow, Scikit-learn, Hugging Face, or LangChain. Proficiency with SQL/NoSQL databases. Experience with…