Referso Jobs

Entwicklung von Applikationen mit Fokus auf Anwendungsfälle für künstliche Intelligenz (KI)
Nutzung von LLMs sowie KI-ausgelösten Funktionsaufrufen über vorhandene APIs
Erstellung von KI-Helfern, die auf ein Wissensgebiet spezialisiert sind, mithilfe des RAG-Schemas
Einbettung der Lösung in ein Backend, z. B. mit FastAPI, und ggf. ein Frontend mit React
Unterstützung bei Initiativen zur Skalierung vorhandener KI-Lösungen und Werkzeuge

Requirements

Immatrikulation aus dem Bereich Informatik, Wirtschaftsinformatik oder vergleichbar

Skills

LangChain AutoGen Docker Kubernetes FastAPI React

Benefits

Vergünstigtes Mittagsessen in der Cafeteria

Senior genAI/LLM application developer

Abb · Posted Nov 10, 2026

Open

Ostrava, Moravskoslezský kraj, Czechia
Hybrid
Full-time · Senior
Annual financial bonus

Apply with RefersoAI Apply on careers page

Design and develop advanced AI solutions leveraging large language models and generative AI, build backend services in Python, manage Azure environments, and lead technical collaboration within the team.

Responsibilities

Design and development of advanced AI solutions – building applications based on large language models (LLMs) and generative AI, contributing to solution architecture, including the use of RAG patterns and LLMOps practices.
Development of robust backend solutions in Python – using modern technologies and frame-works for API development, data transformation pipelines, and interactive tools; implementing testing strategies and ensuring application security, reliability, and performance.
Azure environments and operations – working hands-on with the team to improve how our Azure environments are structured, configured, monitored, and maintained, while introducing consistent practices for their day-to-day management.
DevOps and cloud integration – containerization, deployment to Azure environments, reverse proxy configuration (NGINX), CI/CD pipeline setup, version control management, API gateway integration, including MCP-based integrations, and deployment and lifecycle management of AI models and solutions using Azure AI Foundry.
Data and API design – working with relational and NoSQL databases, designing schemas, optimizing queries, and integrating REST-based services with a strong focus on security, performance, and scalability.

Requirements

Associate Software Engineer (Python + Oracle SQL)

NielsenIQ · Posted Nov 10, 2026

Open

Apply with RefersoAI Apply on careers page

Skills

Python Oracle PL/SQL Pandas NumPy FastAPI Flask AI-powered solutions Large Language Models LangChain LangGraph AutoGen CrewAI Git Agile/Scrum CI/CD testing frameworks

Benefits

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

Job Description NielsenIQ is seeking a talented Python Developer with 3-5 years of experience to join our engineering team. You will work across application development, API integration, database design, AI-powered solutions, and automation initiatives to build scalable, reliable, and high-performance applications. Our team focuses on delivering innovative solutions through robust software architecture, modern development practices, and data-driven technologies. As a Python Developer, you will play a key role in designing, developing, and optimizing applications, improving development efficiency, and delivering seamless user experiences across our platforms. Roles and Responsibilities Design, develop, enhance, and maintain enterprise applications using Python and Oracle PL/SQL technologies. Analyze business and functional requirements and translate them into detailed technical designs and implementation plans. Develop clean, efficient, scalable, and maintainable code following established coding standards and best practices. Collaborate with business stakeholders, architects, QA teams, and other cross-functional teams to deliver high-quality software solutions. Troubleshoot application issues, perform root cause analysis, and implement effective resolutions to ensure system stability. Monitor and optimize application to improve reliability and user experience. Conduct code reviews to ensure code quality, maintainability, security, and adherence to development standards. Develop and execute unit tests, support system integration testing, and assist with user acceptance testing activities. Support application deployment, release management, and production implementation activities. Maintain technical documentation, including design documents, implementation guides, and operational procedures. Provide production support, investigate incidents, and ensure timely resolution of application-related issues. Continuously identify opportunities for process improvements, automation, and performance enhancements. Share technical knowledge across the development team Qualifications 1.5 to 2 years of hands-on experience in software development, with a strong focus on enterprise application development. Strong proficiency in Python programming, including experience with advanced libraries and frameworks such as Pandas, NumPy, FastAPI, Flask, and related ecosystem tools. Hands-on experience in AI-powered solutions, including Large Language Models (LLMs), AI agents, prompt engineering, Retrieval-Augmented Generation (RAG), and agent orchestration frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or similar toolsets. understanding of relational databases and hands-on experience with SQL Experience with version control systems such as Git, including branching, merging, and code review workflows. Good understanding of software architecture, object-oriented design principles, design patterns, and secure coding practices. Experience working in Agile/Scrum environments and participating in sprint planning, retrospectives, and iterative development processes. Familiarity with testing frameworks, CI/CD pipelines, deployment practices, and application lifecycle management. Strong analytical, troubleshooting, and problem-solving skills with the ability to debug and optimize complex applications. Excellent verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/ About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

See full job description

Solution Architect/Forward Deployed Engineer (AI & Data Web Applications)_Contractor

Hiflylabs · Posted Nov 10, 2026

Open

Jersey City, New Jersey, United States
Contract · Senior
7+ years

Apply with RefersoAI Apply on careers page

Lead the development of next-generation AI-powered web applications, bridging Databricks data platforms with modern web architectures and building intelligent, production-ready applications that integrate LLMs, real-time data, and scalable cloud infrastructure.

Responsibilities

Architect cloud-native AI applications, integrating LLMs, vector search, and real-time data.
Design end-to-end web solutions from frontend to backend.
Implement RAG pipelines, model serving, and AI agents in production.
Lead cross-functional teams (Full-stack, AI, Data).
Build and maintain backend services in Python and integrate them with React (or Angular) frontends.

Requirements

Nice to have: Databricks (Lakebase, MLflow, Unity Catalog)
Nice to have: GenAI frameworks (LangChain, AutoGen)
Nice to have: Node.js full-stack
Nice to have: leading multi-disciplinary engineering teams

Skills

React FastAPI Python LLMs vector databases RAG architectures

Outcome Customer Engineer, AI, Google Cloud

Google · Posted Nov 10, 2026

Open

Seoul, Seoul, South Korea
On-site
7+ years

Apply with RefersoAI Apply on careers page

Enterprise architect, technical debugger, engineering liaison and technical delivery manager for AI solutions at Google Cloud.

Responsibilities

Partner with Account teams and Practice Customer Engineer during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.
Lead upfront technical design for enterprise-grade AI solutions, ensuring seamless and secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries.
Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.
Serve as the definitive liaison to core Product and Engineering teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests.
Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams.

Requirements

Bachelor’s degree or equivalent practical experience
Nice to have: deep technical problem solving
Nice to have: diagnosing bugs
Nice to have: executive communication
Nice to have: presenting to technical stakeholders or executive leaders

Praktikum im AI Software Engineering (m/w/d)

John Deere · Posted Nov 10, 2026

Open

Mannheim, Baden-Württemberg, Germany
Internship · Intern
attraktives Vergütungspaket

Apply with RefersoAI Apply on careers page

Entwicklung von Applikationen mit Fokus auf Anwendungsfälle für künstliche Intelligenz (KI)

Responsibilities

Entwicklung von Applikationen mit Fokus auf Anwendungsfälle für künstliche Intelligenz (KI)
Nutzung von LLMs sowie KI-ausgelösten Funktionsaufrufen über vorhandene APIs
Erstellung von KI-Helfern, die auf ein Wissensgebiet spezialisiert sind, mithilfe des RAG-Schemas
Einbettung der Lösung in ein Backend, z. B. mit FastAPI, und ggf. ein Frontend mit React
Unterstützung bei Initiativen zur Skalierung vorhandener KI-Lösungen und Werkzeuge

Requirements

Immatrikulation aus dem Bereich Informatik, Wirtschaftsinformatik oder vergleichbar

Skills

LangChain AutoGen Docker Kubernetes FastAPI React

Benefits

flexibles und modernes Arbeiten

Engineer 5, Software Development & Engineering

Comcast Resume · Posted Nov 10, 2026

Open

Chennai, Tamil Nadu, India
12+ years

Apply with RefersoAI Apply on careers page

Responsible for providing technical leadership, architectural direction, and engineering strategy for the Marketing Agentic AI Platform.

Responsibilities

Define and drive technical architecture for Agentic AI and Martech platforms.
Lead the development of AI-powered copilots, intelligent automation solutions, and agent-based workflows.
Provide technical leadership for Adobe Experience Platform (AEP), customer data platforms, and customer journey orchestration capabilities.
Architect audience management, identity resolution, personalization, and real-time decisioning solutions.
Establish engineering standards, governance, observability, and best practices for AI and platform solutions.

Requirements

Bachelor's Degree

Skills

software architecture cloud-native applications distributed systems enterprise integrations AI/ML Generative AI

Engineer 3 - Machine Learning

Comcast Resume · Posted Nov 10, 2026

Open

Chennai, Tamil Nadu, India
5–7 years

Apply with RefersoAI Apply on careers page

Responsible for developing and deploying machine learning algorithms and owning production ML systems.

Responsibilities

Design, build, deploy, and operate machine learning features and services end-to-end
Own ML pipelines and model behavior from experimentation through production monitoring
Solve complex ML and system-level problems independently
Participate in technical design discussions and influence implementation decisions
Improve performance, reliability, scalability, and cost efficiency of ML systems

Requirements

Bachelor's Degree

Skills

data structures algorithms statistics machine learning frameworks deep learning frameworks LLM frameworks OpenAI SDK LangChain

AutoGen jobs

Responsibilities

Skills

Requirements

Skills

Responsibilities

Requirements

Skills

Benefits

Responsibilities

Requirements

Skills

Benefits

Responsibilities

Requirements

Skills

Responsibilities

Requirements

Responsibilities

Requirements

Skills

Benefits

Responsibilities

Requirements

Skills

Responsibilities

Requirements

Skills

Skills

Benefits

Skills