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Full Stack AI Engineer (m/f/d)

Integrity Next GmbH
Home Office

Jetzt bewerben

Details zur Stelle

Festanstellung | Vollzeit

Qualifikationen

React
Mehrsprachig
Java
Master
Anwendungsentwicklung
AWS
APIs
S3
DynamoDB
SaaS
Künstliche Intelligenz
Python
Analytik

Vollständige Stellenbeschreibung

Mobile Work

Full-time

Permanent employee

Join us!

At IntegrityNext, we are building a shared AI and data platform on AWS on top of our supply chain and product compliance platform. This platform will power semantic data access, BI, APIs, and agentic product experiences across our product landscape.
As AI Application Engineer (m/f/d), you will build and ship AI-powered product capabilities end-to-end. You will work hands-on across Python-based AI services, agent workflows, web and document retrieval pipelines, unstructured data processing, APIs, integrations, and lightweight React prototypes where needed.
Our AI application layer is built around LangChain, LangGraph, Deep Agents, and Amazon Bedrock AgentCore. The focus is on product delivery rather than research, covering both structured-data-driven AI experiences and unstructured-data processing for retrieval, agent workflows, and future AI-native product capabilities.
We work according to “You build it, you run it”, own capabilities from design to production operations, follow spec-driven development, and actively use AI-assisted engineering tools such as Claude Code, Cursor, and similar tools.

What can you expect?

Build agentic AI product capabilities

Build AI-powered product features using retrieval mechanisms, workflows, tools, and multi-step agent patterns
Turn product and business needs into reusable, reliable AI capabilities for internal and customer-facing use cases
Implement AI capabilities in Python using LangChain, LangGraph, Deep Agents, and Bedrock AgentCore
Design and build AI APIs with clean service boundaries for integration into Java-based product systems

Work with structured, unstructured, web, and document data

Build and maintain retrieval and unstructured-data processing pipelines for documents, web content, and other sources used in agent workflows
Work with content and PDF extraction, link following, candidate ranking and selection, deduplication, and source or provenance tracking
Collaborate with platform and semantic teams to ground AI features in reliable, well-structured data
Support AI experiences based on structured business data, semantic layers, and analytics-driven use cases

Improve AI quality, reliability, and production readiness

Drive prompt engineering and context engineering to improve quality, reliability, and usability
Implement evals, regression checks, prompt-injection tests, scenario-based validation, and quality controls
Help define evaluation harnesses, testing approaches, and validation methods for agentic and retrieval systems
Support AI observability, tracing, quality monitoring, maintainability, and production operations

Contribute across product and engineering layers

Contribute to lightweight frontend prototypes and conversational or workflow-driven UI flows in React where needed
Work closely with semantic, data platform, architecture, product, and engineering teams
Help establish practical spec-driven and AI-assisted engineering workflows that improve quality, speed, and maintainability

What should you bring along?

Experience & Domain Focus

Strong practical experience with Python and proven experience building AI-powered product features in production or near-production environments
Experience with LLM application development, including agentic RAG, tool use, workflow orchestration, prompt engineering, and context design
Strong knowledge of agentic AI concepts such as agent workflows, planning patterns, tool usage, multi-step reasoning architectures, and agent harnesses
Experience building multi-step agents or pipelines that retrieve, read, and reason over information from web and document sources with a focus on grounding, attribution, and reliability
Experience building or maintaining unstructured-data pipelines for AI applications, including document and web-page processing, text extraction, retrieval, and AI-oriented data preparation
Experience designing backend APIs and integrating AI capabilities into larger product landscapes through clear service boundaries

Technical / Methodological Skills

Hands-on experience with LangChain and/or LangGraph
Familiarity with Deep Agents or similar multi-step or planning-oriented agent harnesses is a strong plus
Knowledge of Amazon Bedrock AgentCore and strong overall AWS knowledge, including OpenSearch, S3, and DynamoDB
Experience with web search APIs such as SERP API, Linkup, or Tavily, and crawling or extraction frameworks such as Firecrawl or Crawl4AI
Experience with headless or JS-rendering fetching using tools such as Playwright or Puppeteer
Comfortable with content and PDF extraction, link following, candidate ranking and selection, deduplication, and source or provenance tracking across varied, multilingual, and often unreliable web sources
Experience with MCPs, A2A, AgentCore Gateway, Agent Skills, Agent plugins, and testing these components
Experience with evaluation harnesses, regression testing, prompt-injection testing, and quality controls for AI and retrieval systems
Experience with observability, tracing, or monitoring for AI or backend systems
Ability to contribute to lightweight frontend or prototype work in React when needed

Ways of Working & Mindset

Strong product delivery mindset with a focus on building and shipping AI-powered capabilities end-to-end
Comfortable owning AI-powered features in production, not just prototyping them
Strong quality mindset and the ability to improve AI systems through testing, evaluation, iteration, and harness-based validation
Comfortable working with structured specifications, clear interfaces, spec-driven development, and AI-assisted engineering workflows
Deep specialization in AI engineering combined with the willingness to contribute across adjacent layers when needed
Practical, hands-on approach to solving complex product and platform challenges

Communication & Collaboration

Comfortable collaborating closely with semantic, data platform, architecture, product, and engineering teams
Able to work across backend implementation, AI application development, APIs, and lightweight frontend prototyping
Strong ability to translate product and business needs into reliable technical capabilities
Clear communication style and willingness to share knowledge across teams
Fluent English skills for working effectively in an English-speaking environment

Nice to have

Experience with large-scale or polite crawling, deduplication, and source or provenance tracking
Experience with entity resolution and attribution across heterogeneous web sources
Experience with multilingual document and web-content processing and retrieval
Experience designing agentic architectures, evaluation harnesses, and quality frameworks for AI systems
Experience with AI observability and tracing tools
Experience with React and frontend prototyping for conversational or workflow-driven experiences
Experience working with structured business data, semantic layers, or analytics-driven AI use cases
Experience with advanced document pipelines, retrieval systems, and unstructured-data-based AI features
Experience in multi-team SaaS environments

What do we offer?

Purpose & Impact

A role with real meaning that is both enjoyable and impactful
The opportunity to make a sustainable contribution through your work
Attractive compensation as part of a growing company

Attractive Benefits

30 days of paid vacation
EGYM Wellpass membership to support your work-life balance
Flexible working models to better balance work and personal life

Modern Work Environment & Flexibility

Inspiring office spaces in the heart of Munich
Flexible remote work from home or anywhere within Germany

Great Team

A professional, welcoming, and highly motivated team
Collaboration at eye level with an open feedback culture
An environment where people support each other and grow together

Flat Hierarchies & Ownership

Short decision-making paths and real opportunities to shape things
Freedom to contribute and implement your own ideas
A high level of ownership and responsibility

Application process

Please apply exclusively via our online application portal. This ensures a smooth and fair process for all candidates. Applications submitted by email or LinkedIn will not be considered. Thank you for your understanding.

About us

IntegrityNext, a global leader in supply chain sustainability software, stands at the forefront of corporate sustainability and compliance. Since 2016, businesses have trusted IntegrityNext to simplify ESG compliance, reduce risks, and address critical challenges like due diligence, decarbonization, and sustainability reporting. With over 500 customers and 2 million suppliers across 190 countries, IntegrityNext is transforming supply chains into engines of transparency and sustainable growth. For more information, visit www.integritynext.com.

We are an equal opportunity employer and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We welcome applicants from all backgrounds and strive to create an environment where everyone feels respected and heard. Join us in our mission to build a more equitable and inclusive world.

Jetzt bewerben

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