CrawlJobs Logo
Sportradar Logo Sportradar · IT - Software Development

Staff AI Engineer

Slovenia, Ljubljana · Job Posted February 01, 2026
Apply Position
Job Link Share

Job Description

We’re seeking a talented Staff AI Engineer with 5-7 years of experience to join our generative AI team, the core unit driving our flagship AI initiatives, including our primary product focused on transforming live sports data into engaging narratives like automated match reports, previews, and articles, as well as other innovative AI-driven products. This role blends advanced full-stack software engineering with cutting-edge applied AI research, emphasizing traditional machine learning, NLP, LLM fine-tuning, and modern AI workflows to shape products that reach global audiences.

Job Responsibility

  • Lead the design and development of scalable, user-facing tools and automated pipelines for diverse AI-driven products
  • Architect and implement sophisticated agentic workflows using frameworks like LangGraph, LangChain, Google Agent Developer Kit (ADK), and custom solutions
  • Develop, test, and optimize prompt strategies and fine-tune large language models (LLMs) for data-to-text generation
  • Design and execute rigorous evaluation pipelines for LLMs and traditional ML models
  • Leverage expertise in NLP, model fine-tuning, and traditional machine learning techniques
  • Partner with product managers, data scientists, and domain experts to align AI capabilities with product goals
  • Deliver production-ready services on cloud platforms like AWS

Requirements

  • 5-7 years of experience as a Full-Stack Developer with a strong command of JavaScript, React, Node.js, and Python
  • Proven track record of building scalable, production-ready applications
  • Hands-on experience with traditional machine learning techniques, particularly in NLP (e.g., text classification, sentiment analysis, embeddings), model fine-tuning, and feature engineering
  • Deep understanding of LLM fine-tuning, agentic workflows, and prompt engineering
  • Ability to design and optimize complex AI pipelines
  • Ability to lead projects, mentor junior engineers, and drive technical decisions
  • A proactive, self-motivated mindset with the ability to take initiative
  • Thrive in dynamic settings
  • Eager to rapidly learn and apply emerging AI frameworks, tools, and methodologies
  • Focus on building robust, scalable systems
  • Exceptional ability to align with cross-functional teams, provide technical guidance, and communicate progress effectively

Nice to have

Familiarity with real-time data pipelines, media automation, or domain-specific AI applications (e.g., sports, finance, or content generation)

What we offer

  • A collaborative environment with colleagues from all over the world
  • Various social events and teambuilding
  • Flexibility to manage your workday and tasks with autonomy
  • Vibrant and inclusive community, including Women in Tech and Pride groups
  • Global Employee Assistance Programme
  • Calm and Reulay app
  • Online training videos
  • Flexible working hours
Sportradar - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Staff AI Engineer

8 matching positions

Staff Ai Engineer

As a Staff AI Engineer, you will play a key role in designing and delivering hig...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science or equivalent from a recognized institution
  • 8+ years of experience in backend services, distributed systems, or data platform development
  • Strong proficiency in Java, Go, or Python for service development
  • Deep understanding of design principles, distributed system patterns, and service architecture
  • Hands-on experience designing and developing RESTful APIs
  • Experience with SQL and NoSQL databases and data modelling
  • Strong debugging, problem solving, and troubleshooting skills
  • Experience with modern containerization and orchestration tools such as Kubernetes
  • Knowledge of public cloud platforms
  • Experience with AI productivity tools (e.g., GitHub Copilot)
Job Responsibility
Job Responsibility
  • Design, architect, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance
  • Collaborate with cross-functional engineers and product partners to shape architecture and consistently deliver end to end features
  • Build and integrate robust RESTful APIs, ensuring security, data consistency, and maintainability
  • Work with SQL and NoSQL databases to implement efficient data models and service access patterns
  • Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs)
  • Use AI powered engineering tools to improve development quality, speed, and productivity
  • Mentor engineers, supporting them in technical planning, implementation, and best practices
  • Identify and resolve system performance bottlenecks, optimizing code, architecture, and infrastructure
  • Write unit and integration tests and participate in code reviews to uphold engineering excellence
  • Investigate production issues, ensuring timely and effective solutions
  • Fulltime
Read More
Arrow Right

Staff AI Engineer

Rapid7 is seeking a Staff AI Engineer to join our Data Science team as we expand...
Location
Location
India , Pune
Salary
Salary:
Not provided
rapid7.com Logo
Rapid7
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8–12 years of experience as a Data Scientist, ML Engineer, or AI Engineer
  • Strong end-to-end practical expertise in ML/AI/DS
  • Able to explore, experiment, and deliver independently
  • Proficiency in scikit-learn, PyTorch, TensorFlow, Keras, HuggingFace, LangChain, Transformers, Pandas, NumPy
  • Strong communication skills
  • Collaboration across engineering, data science, product, and security teams
  • Experience mentoring and guiding junior data scientists
  • Agentic AI and LLM expertise
  • Hands-on experience with agentic AI architectures (CrewAI, LangGraph, LangChain agents, tool-calling, function-chaining)
  • Experience building multi-step reasoning workflows, autonomous agents, or LLM-powered decision systems
Job Responsibility
Job Responsibility
  • Work with security teams to define, scope, and design research efforts for new threat detections, automations, and AI-driven workflows
  • Collaborate with data scientists to transform research into production-ready solutions, mentoring on both methods and execution
  • Research, build, and evaluate ML and generative/LLM models, including agentic and multi-step reasoning systems
  • Design and optimise agentic architectures, including tool-calling, decision-making, memory, orchestration, and evaluation frameworks
  • Partner with engineering teams to ship AI features, integrating models into high-scale systems
  • Deploy AI/ML workloads in AWS using SageMaker, Bedrock, Lambda, EKS, Step Functions, and related services
  • Contribute to our LLMOps and MLOps workflows, improving evaluation pipelines, observability, reproducibility, and governance
  • Support development of AI security features, improving reasoning, context understanding, automation, and analyst workflows
  • Embrace agile development, iterative experimentation, and collaborative problem solving
  • Mentor junior team members and uplift the technical bar for agentic AI and ML engineering
  • Fulltime
Read More
Arrow Right

Staff AI Engineer

As a Staff AI Engineer, you will be a senior technical leader responsible for de...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
  • 8+ years of experience building backend services, distributed systems, or data/AI platforms
  • Strong proficiency in Java, Go, or Python, with experience building large‑scale services
  • Deep understanding of distributed system design, scalability, fault tolerance, and cloud‑native architectures
  • Proven experience designing and operating production systems with SQL and NoSQL data stores
Job Responsibility
Job Responsibility
  • Lead the design and evolution of large‑scale, distributed AI systems that power Teradata’s AI platform and AI‑native products
  • Own end‑to‑end architecture for critical AI capabilities such as agentic workflows, RAG pipelines, vector search, semantic retrieval, and AI orchestration frameworks
  • Drive technical strategy and architectural consistency across multiple engineering teams
  • Design and implement production‑grade AI systems using LLMs, embeddings, vector databases, and agent‑based architectures
  • Build scalable, secure, and reusable platform services and APIs supporting AI workloads across the software development lifecycle
  • Define and implement guardrails for reliability, safety, governance, and cost control in enterprise AI systems
  • Partner with product management, architecture, research, and cloud platform teams to translate business requirements into scalable AI solutions
  • Influence roadmap decisions by providing deep technical insight, trade‑off analysis, and long‑term platform thinking
  • Act as a technical escalation point for complex system design, performance, and reliability challenges
  • Drive best practices for testing, observability, evaluation, and production readiness of AI systems
What we offer
What we offer
  • People-first culture
  • Flexible work model
  • Focus on well-being
  • Inclusive environment
  • Fulltime
Read More
Arrow Right

Staff AI Engineer

We are looking for a visionary and technically deep AI Architect to lead the des...
Location
Location
India , Pune, Maharashtra; Karnataka
Salary
Salary:
Not provided
teradata.com Logo
Teradata
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of experience in software engineering or technology architecture
  • At least 4 years focused on AI, ML, and Generative AI solutions at enterprise scale
  • Deep hands-on expertise with Large Language Models (LLMs) including model selection, prompt engineering, fine-tuning (LoRA, PEFT), and evaluation techniques
  • Proven experience designing and implementing MCP servers and structured context management strategies for LLM applications
  • Strong working knowledge of Generative AI frameworks and orchestration tools — LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI, or equivalent agentic platforms
  • Hands-on experience with RAG architectures, vector databases (Pinecone, Weaviate etc), and embedding models
  • Proficiency in Python-based AI/ML development, including libraries such as HuggingFace Transformers, PyTorch, TensorFlow, scikit-learn, and OpenAI SDK
  • Experience with AI cloud platforms and services — Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent enterprise AI infrastructure
  • Solid understanding of MLOps practices including model versioning, experiment tracking (MLflow, Weights & Biases), CI/CD for ML, and model monitoring in production
  • Familiarity with AI agent design patterns, multi-agent systems, tool-use frameworks, and autonomous workflow orchestration
Job Responsibility
Job Responsibility
  • Define and own the enterprise AI architecture strategy, establishing standards, reference architectures, and technology roadmaps for AI/ML adoption
  • Architect and oversee the design of LLM-powered applications including RAG pipelines, AI agents, and agentic workflow systems
  • Design and govern MCP server implementations, enabling structured, context-aware interactions between LLMs and enterprise data sources
  • Lead the evaluation and selection of AI/ML platforms, LLM providers (OpenAI, Anthropic, Azure OpenAI, Google Gemini, open-source models), and supporting infrastructure
  • Architect prompt engineering frameworks, fine-tuning pipelines, and model evaluation strategies to ensure LLM output quality, accuracy, and reliability
  • Design AI orchestration layers using frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or custom agentic architectures for multi-step reasoning workflows
  • Establish AI data pipelines for model training, embeddings generation, vector database management, and real-time inference serving
  • Define and enforce responsible AI practices including bias detection, explainability, hallucination mitigation, content safety guardrails, and regulatory compliance
  • Collaborate with engineering leads, data scientists, and product teams to embed AI capabilities into existing platforms and new product initiatives
  • Mentor and upskill engineering teams on AI/ML technologies, architectural patterns, and emerging developments in the AI ecosystem
What we offer
What we offer
  • People-first culture
  • Flexible work model
  • Focus on well-being
  • Inclusive environment
  • Fulltime
Read More
Arrow Right

Staff AI Engineer

The Staff Software Engineer will be responsible for building, maintaining, monit...
Location
Location
United States , Austin; San Francisco; San Mateo; Roseville; Irvine
Salary
Salary:
173000.00 - 200000.00 USD / Year
goodleap.com Logo
GoodLeap
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree
  • 7+ years experience in backend software, ML, or AI engineering
  • Highly proficient in ML and AI engineering tools, python/FastAPI, A2A protocol, agent design and evaluation, prompt and context engineering
  • Adept with agile software development lifecycle and DevOps principles
  • Passion for software development, emerging technologies and culture of innovation
  • Excellent communication and interpersonal skills
Job Responsibility
Job Responsibility
  • Collaborate with product, architecture, and design leads to deliver highly-available, fault-tolerant products and services
  • Work on significant and unique technical challenges, evaluate and recommend solutions, and guide decision making by considering technical tradeoffs
  • Grasp both the technical and business perspective so you can help drive innovation
  • Work autonomously and be self-disciplined, requiring no supervision or guidance
  • Mentor and coach the team members to grow both their technical skills and soft skills
What we offer
What we offer
  • May be eligible for a bonus and equity
  • Fulltime
Read More
Arrow Right

Staff AI Engineer

As the staff engineer in our new Generative AI department, you will define the t...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
airwallex.com Logo
Airwallex
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years in backend software development, with a passion for AI and language technologies
  • Proven track record of delivering major impact
  • Proficiency in Python, Typescript or Javascript
  • Experience in design and development of large-scale distributed, high concurrency, high load, high availability systems
  • Experience in vector databases
  • A relevant degree in Computer Science, Mathematics or related fields
Job Responsibility
Job Responsibility
  • Spearhead the creation of AI solutions to enable growth and drive internal efficiency across the business
  • Design and implement robust API and system architecture for new AI applications
  • Assist in AI application roadmapping and strategy
  • Collaborate effectively with a diverse, cross-functional team to leverage existing AI technologies, and research and implement new ones, to meet product goals
  • Providing prompt and effective solutions or workarounds in response to application issues or software bugs, maintaining high client satisfaction
  • Embrace the challenges of a fast-paced, high-growth environment with a focus on innovation
  • Fulltime
Read More
Arrow Right

Staff AI Engineer

As we work towards building out the Context Layer for the Agentic Enterprise, we...
Location
Location
United States , Palo Alto
Salary
Salary:
Not provided
workato.com Logo
Workato
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's/Master's/PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field
  • 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields
  • Strong proficiency in Python
  • Hands-on experience with search engines (Opensearch or Elasticsearch)
  • Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models)
  • Experience with text processing, NLP, and relevance tuning
  • Experience with relevance evaluation metrics (NDCG, MRR, MAP)
  • Experience with large-scale distributed systems
  • Proficiency in Knowledge Graph construction and optimization is a plus
  • Strong analytical and problem-solving skills
Job Responsibility
Job Responsibility
  • Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent
  • Design and deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback
  • Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval
  • Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing
  • Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data
  • Drive improvements in query rewriting, intent classification, and semantic search, using both statistical and neural methods
  • Own the design of evaluation frameworks for offline/online relevance testing, A/B experimentation, and continual model tuning
  • Collaborate with product and applied research teams to translate user needs into data-informed search innovations
  • Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack
What we offer
What we offer
  • vibrant and dynamic work environment
  • multitude of benefits they can enjoy inside and outside of their work lives
Read More
Arrow Right

Staff AI Engineer

We're seeking a Staff AI Engineer to join our growing team and help build the ne...
Location
Location
Canada
Salary
Salary:
182000.00 - 220000.00 CAD / Year
procurify.com Logo
Procurify
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of software engineering experience with a significant portion of that focussed on AI/ML, building and deploying AI features in production environments
  • Deep understanding of LLMs, prompt engineering, RAG architectures, vector databases (Databricks/pgVector), and agentic AI frameworks (LangChain, Google ADK, or similar)
  • Strong Python expertise with modern frameworks (FastAPI, Flask, Django) and microservice architecture patterns
  • Experience with AWS/GCP/Azure, containerization (Docker/Kubernetes), and CI/CD pipelines
  • Strong foundation in statistical methods, data pipelines, and ETL processes
  • Experience with A/B testing, evaluation frameworks, and hypothesis-driven development to validate AI features
  • Deep commitment to code quality, testing, monitoring, and observability in AI systems
  • Comfortable navigating ambiguity and rapidly adopting new AI technologies and methodologies
  • Strong communication skills with ability to explain technical concepts to both technical and non-technical stakeholders
Job Responsibility
Job Responsibility
  • Build AI-Powered Features: Design, develop, and deploy production-grade AI applications that solve real customer problems, from concept to deployment
  • Architect Scalable Systems: Create robust backend architectures that support AI workloads, ensuring low latency, high reliability, and seamless integration with existing services
  • Drive AI Innovation: Implement and optimize agentic AI systems, RAG pipelines, and multi-agent workflows using modern LLM frameworks
  • Own the Full Stack: Take end-to-end ownership of features, from database design and API development to AI model integration and monitoring
  • Collaborate Cross-Functionally: Work closely with product, design, and data teams to translate business requirements into technical solutions
  • Optimize and Iterate: Run experiments, A/B tests, and evaluations to continuously improve AI system performance and user experience
What we offer
What we offer
  • Flexible working: remote-first organization with flexible working hours
  • Responsible time off
  • Extended health benefits: competitive health, vision, and dental package along with an Employee Assistance Program (EAP), and a health and wellness spending account
  • Community initiatives: regular community days, Donate Your Day program, lunch and learns
  • Stock options
  • DEI initiatives: diversity, equity, and inclusion roundtable
  • Fulltime
Read More
Arrow Right