Join a diverse team of approx. 2000 professionals across four continents, driving innovation and growth within intive’s technology hubs. Work alongside industry experts trusted by leading brands like Audi, BMW, Deichmann, Meta, NewsCorp, Tandem, Paramount, Vorwerk, and Warner Bros. Discovery to create pioneering, sustainable digital experiences.
At intive, agile thinking and deep industry expertise come together across Automotive & Mobility, Commerce, Financial Services, Healthcare & Life Sciences, and Technology, Media & Communication. Be part of a team that’s shaping the future of digital innovation.
- Design and develop Agentic AI solutions that solve complex business problems and deliver measurable value.
- Build, deploy, and maintain production-ready AI applications powered by Large Language Models (LLMs).
- Design and implement Retrieval-Augmented Generation (RAG) architectures and knowledge retrieval pipelines.
- Build and orchestrate multi-agent systems using modern Agentic AI frameworks.
- Integrate AI services and agents with enterprise platforms, internal tools, and third-party applications.
- Develop backend services and APIs using FastAPI, Flask, or similar technologies.
- Work with SQL and vector databases to support AI-driven applications and retrieval workflows.
- Implement memory management, tool calling, and human-in-the-loop workflows for AI agents.
- Ensure scalability, security, reliability, and maintainability of AI solutions in production environments.
- 7+ years of experience in software engineering, with strong experience designing and delivering AI-powered applications.
- Proven experience building solutions with Large Language Models (LLMs) in production environments.
- Hands-on experience designing and implementing Agentic AI applications using frameworks such as: LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI Agents SDK (or equivalent)
- Strong experience designing and implementing RAG architectures and knowledge retrieval systems.
- Experience working with vector databases such as Pinecone, Weaviate, ChromaDB, Milvus, pgvector, or similar technologies.
- Experience with relational SQL databases.
- Experience developing and consuming REST APIs.
- Strong backend development experience using FastAPI (preferred), Flask, or similar Python frameworks.
- Experience integrating AI services and external APIs into enterprise applications.
- Experience deploying cloud-native solutions in AWS (preferred), Azure, or Google Cloud Platform.
- Experience working with foundation models such as OpenAI, Anthropic, Gemini, or similar providers.
- Experience with MCP (Model Context Protocol).
- Experience integrating AI agents with enterprise platforms and business systems.
- Knowledge of AI governance, responsible AI practices, security, and compliance considerations.
- Familiarity with AI observability, monitoring, and evaluation frameworks.
- Understanding of prompt engineering, model evaluation, and agent performance tuning.
Why Join intive?
We cultivate an environment where innovative ideas and excellence have room to thrive - even with a remote workforce. Our culture of learning rewards curiosity and gives our team members opportunities to learn, grow, and own the evolution of their careers.
Career Path Planning – You can create a career path based on your goals. We provide training, mentoring, and support to help you along the way
Training & Mentorship – Learning and Development is a big part of our company culture. You will have unlimited access to Udemy, internal courses and training, and a robust mentorship program.
Hubs – You will join the community of intivers sharing the same professional profile. There is space for knowledge sharing with people with similar capabilities to yours and to access the latest technology trends.
Culture & Connection – We cultivate connections within teams, across functions, and up and down the org chart. We make sure everyone is noticed and feels connected to our mission and each other.
Skills Required
- 8+ years of backend engineering experience building distributed, high-performance systems
- Strong hands-on experience with Python for backend services and ETL/data pipelines
- Experience developing APIs and services using FastAPI and/or Flask
- Proven experience working within mixed Python and Node.js/TypeScript ecosystems
- Advanced expertise with OpenSearch and/or Elasticsearch, including mappings, sharding strategies, DSL queries, tokenizers/analyzers, and cluster management
- Experience implementing semantic search, embeddings, vector search, KNN retrieval, and RAG architectures
- Hands-on experience with LlamaIndex or similar retrieval/RAG frameworks
- Ability to implement retrieval optimization techniques such as reranking, query decomposition, and document chunking
- Solid experience with Node.js and TypeScript for backend and API integrations
- Strong AWS experience, including Lambda, ECS, Managed OpenSearch, and ALB/NLB
- Strong troubleshooting, debugging, and performance optimization skills in production environments
- Experience building asynchronous and event-driven ingestion pipelines using SQS, Kafka, SNS, or RabbitMQ
- Experience with unit testing frameworks and validation strategies across JavaScript/TypeScript and Python-based systems
What We Do
intive is a global technology company that combines deep industry expertise, user-centric design, and world-class software engineering. With its human-centric approach, intive creates digital products that empower users, deliver business value, and make an impact on society. intive has over 24 years of experience innovating with customers across industries, including Technology, Media and Communications, Retail, Automotive, FinTech, and Telecommunications. By focusing on creating sustainable impact through digital products, intive has won the trust of leading brands such as Audi, BASF, BMW, Deichmann, Discovery, Facebook, Tandem, Paramount, and Vorwerk. Headquartered in Munich, Germany, intive is present across Europe, Asia and the Americas, with a diverse team of +2,000 people
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