Purpose of the Position

As a Senior Software Engineer, you will be part of a cross-functional service-oriented team, working on extending and maintaining our Affiliate Marketing platform. Your responsibilities include writing clean, secure, and well-tested code, following best-practice guidelines, and collaborating with the team to operate and enhance assigned parts of the platform.

You will have a significant impact in terms of efficiency, problem-solving, and mentoring colleagues. Additionally, you will work closely with the product owner and team members to translate user needs into technical solutions. Throughout the lifecycle of a service or product, from requirements to deployment, support, and maintenance, you will take a leading role, considering deadlines, balancing effort and outcome, and proactively addressing risks.

Your contribution will be vital in overcoming challenges and ensuring that our service continues to meet the needs of our business and customers.

The Team

You will be joining our Rewards tribe, a cross functional team at the core of the business. We enable advertisers to define how they reward publishers and manage commissions and transactions using an event‑driven architecture. We use an exciting array of technologies, including Java/Spring, AWS Lambda, Kafka, NodeJS, SQL/NoSQL databases, and more.

Key tasks and responsibilities

• Work within a small, collaborative team using agile methodologies and practices
• Take ownership of backend services, from design and implementation to operation and improvement
• Proactively advocate for technical improvements and help define engineering priorities
• Improve existing applications and design and build new solutions from scratch
• Contribute to code reviews, planning sessions, retrospectives, and other team ceremonies
• Help shape development technologies, standards, and engineering practices
• Follow best‑practice guidelines and contribute to their continuous improvement
• Work closely with Product Managers to translate user stories into technical designs, features, and tasks
• Tackle complex business logic and help solve real business problems
• Troubleshoot and resolve production issues in a timely manner
• Communicate effectively in both written and verbal form with local and remote team members

Whilst the above outlines the general expectations of the role, we expect this position to evolve over time, offering opportunities to gain deeper knowledge and experience within the online and affiliate marketing domain.

Skills & Expertise

Required

• At least 6 years of hands‑on Java experience in commercial software engineering roles
• A positive, collaborative work ethic and strong sense of ownership
• Passion for writing elegant, maintainable code, with a solid understanding of SOLID principles
• Experience conducting thorough code reviews, writing unit tests, and maintaining CI/CD pipelines
• Strong experience with Git or similar version control systems
• Experience with event‑driven architectures and messaging/streaming technologies
• Solid understanding of relational database concepts, database design principles, and strong SQL skills
• Experience with non‑relational databases such as DynamoDB or MongoDB
• Expertise in designing and implementing RESTful APIs within a microservices architecture
• Experience working in cross‑functional teams alongside Product Owners, UX Designers, and Agile Coaches
• Familiarity with agile processes, particularly Scrum
• Knowledge of TDD or BDD practices
• Experience with cloud platforms, ideally AWS, and Infrastructure as Code
• Interest in and practical use of AI tools to augment software development practices
• Willingness and ability to work with more than one programming language

Our Offer

• Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
• Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
• Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
• Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches.
• Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member.
• Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location
• Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why  

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

#LI-RS1

Purpose of Position

As a Data Engineering Manager in a Data Engineering domain, you lead a team of 6–12 data engineers and help them succeed while building and improving our Affiliate Marketing data platform. Your role is to create a collaborative environment where engineers take ownership, learn continuously, and deliver reliable data solutions that support the business. You guide the team technically, remove blockers, and encourage strong engineering practices. Beyond day-to-day delivery, you also support hiring, career growth, and the overall development of the team.

You are responsible for the health and success of the team and the delivery of scalable data solutions. You work closely with product owners, engineers, and stakeholders to turn business needs into practical solutions, while balancing technical quality, speed, and long-term scalability

Key Responsibilities

• Create autonomous, high-performing teams, ensuring their growth, and engagement.
• Work closely with engineering, product and analytical engineers and data scientists to build scalable AI-ready analytics solution.
• Create clear ownership within the team and encourage a culture of autonomy, knowledge sharing and continuous improvements.
• Lead the delivery of data solutions, ensuring they support business goals and follow good engineering practices.
• Partner with product owners and engineering leaders to balance effort and impact focusing on practical solutions that deliver real value.
• Aggressively removes blockers and accelerates decision-making; enforces a culture of radical ownership and end-to-end accountability.
• Serves as a proactive incident manager; ensures rapid escalation, clear communication on progress, and directional alignment with domain goals.
• Directly responsible for the development of people; sets meaningful growth milestones, leads career progression conversations, and aligns individual success with team outcomes.

Skills & Expertise

Required

• 8+ years of professional experience in data engineering, including 5+ years of people management and technical leadership experience.
• Deep understanding of Ralph Kimball dimensional modelling best practices, including star schema design and data cube modelling to support scalable analytics and reporting.
• Experience building and optimising cloud-based data platforms and scalable data pipelines that support analytical model development and AI-ready analytics.
• Experience working in cross-functional environments, collaborating closely with product teams and business stakeholders
• Experience working with analytics and software engineering teams to build cloud-based solution that support large-scale analytics workloads and reliable data delivery
• Familiarity with data governance, security best practices, and compliance requirements.
• Strong knowledge of Agile delivery frameworks such as Scrum or Kanban, with the ability to shape and improve engineering processes

Nice to have

• Bachelor’s degree or higher in Data Science, Data Engineering, Business Intelligence, Business Administration, or a related field with a focus on data, business intelligence, or analytics is preferred.
• Strong interest in people management, including hiring, supporting career development, giving clear feedback, and handling team conflicts in a constructive way.
• Proven experience leading and mentoring data engineers within cross-functional data and analytical teams. 
• Ability to monitor individual performance, provide constructive feedback, and mediate conflicts effectively.
• A collaborative mindset, openness to feedback, and willingness to compromise to achieve the best possible outcomes.  
• Eager to learn new technologies and new ways to work and open to new perspectives whilst deepening on own area of expertise 

Our Offer

• Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
• Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
• Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
• Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches.
• Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member.
• Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location
• Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why  

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

#LI-RS1

About the AI Platform Team

The AI Platform Team enables Awin teams to build, ship, and operate AI-powered products safely, consistently, and efficiently.

We focus on the shared platform and enablement layer for AI development across the company. That includes reusable services, internal APIs and SDKs, platform patterns, observability, evaluation support, guardrails, cost visibility, and practical guidance that helps teams move from experimentation to production with confidence.

This is a team for engineers who enjoy building internal platforms, creating paved roads for others, and raising the engineering quality bar for AI development across the organization.

About the role

We are looking for a Senior AI Platform Engineer — Foundations, Reliability & Architecture to join the AI Platform Team and help define, build, and operate the shared platform capabilities that other teams will use to develop AI-powered products.

In this role, you will work on the technical foundations of AI development at Awin: shared services, internal APIs and SDKs, architecture patterns, observability, runtime reliability, and production readiness. You will help shape the platformʼs golden path and make sure it is scalable, supportable, and easy for other teams to adopt.

This role is best suited to a strong platform engineer with solid AI production judgment. We care more about evidence of technical ownership, architectural thinking, and operational maturity than about a specific number of years working with AI.

What You'll Do

• Design, build, and evolve shared AI platform capabilities used by multiple teams
• Define and improve platform architecture, technical standards, and recommended patterns for AI development
•  Build and maintain reusable internal APIs, SDKs, templates, and reference implementations
• Improve the reliability, scalability, and operational maturity of platform-owned services 
• Strengthen CI/CD, release engineering, cloud/runtime patterns, and service lifecycle practices for the platform
• Improve platform observability through better tracing, monitoring, debugging, and production feedback loops
• Help define what production-ready AI services should look like from an engineering and operational perspective
• Work closely with product teams to understand repeated needs and turn them into reusable platform capabilities
•  Make pragmatic build-vs-buy decisions, preferring simple and durable solutions over unnecessary complexity
• Collaborate with Architecture, Security, Product, and engineering teams to ensure the platform is practical, safe, and easy to adopt
• Write clean, secure, well-tested code and contribute to strong engineering practices across the team
• Mentor other engineers and contribute to technical direction, knowledge sharing, and platform thinking within the team

Requirements

• Strong software engineering fundamentals and experience building production systems
• Strong experience in backend and platform engineering
• Strong system design and architecture skills, especially for shared services or internal platforms
• Practical experience owning systems in production, including deployment, monitoring, support, and incident handling
• Strong understanding of reliability, observability, and operational excellence
• Practical experience with cloud environments and modern release engineering practices
• Experience designing reusable APIs, libraries, SDKs, or internal engineering capabilities
• Good practical experience with Python and/or JavaScript / TypeScript
• Experience building or contributing to AI- or LLM-powered systems in production
• Good understanding of LLM integration patterns, model APIs, prompts, and the engineering trade-offs involved in AI systems
• Good understanding of how to make AI systems observable, testable, and ready for production
• Comfortable working across the full lifecycle of a service, from design and implementation to deployment, support, and improvement
• Good understanding of information security and how to design platform capabilities with security in mind
• Comfortable applying unit testing, continuous integration, and continuous deployment
• Strong communication skills, both synchronous and asynchronous
• Comfortable working through ambiguity and helping shape technical direction where the path is not fully defined
• A platform mindset: able to think beyond one team or one feature and design for reuse, clarity, and long-term maintainability

Nice to have 

• Experience building internal developer platforms or shared engineering tooling
• Experience with AI platform architecture, model access layers, orchestration patterns, or reusable AI infrastructure
• Experience with AI observability tools such as LangSmith or similar tracing or evaluation platforms
• Familiarity with evaluation workflows, regression checks, and quality gates for A systems
• Experience with cost visibility, usage attribution, or FinOps-style patterns for AI workloads
• Experience working in environments where multiple teams consume shared services
• Experience improving developer experience through templates, examples, SDKs, or documentation
• Experience introducing standards in a way that improves quality without creating unnecessary process

Tools and technologies you may work with:

• Python
• JavaScript / TypeScript
• Azure / AWS
• LLM APIs
• CI/CD tooling
• Observability and tracing tools
• Internal APIs, SDKs, and shared platform services

Working style

We are looking for someone who enjoys building in a space that is evolving quickly, but who stays grounded in pragmatic engineering and long-term platform value.

A strong fit for this role is someone who:

• Enjoys solving platform problems that help many teams, not just one product
• Thinks in terms of reusable patterns, clear interfaces, and production ownership
• Communicates clearly and keeps others aligned, both sync and async
• Cares about reliability, observability, maintainability, and operational simplicity
• Is comfortable making architectural trade-offs and simplifying complexity
• Avoids overengineering and focuses on durable, high-leverage solutions 
• Is proactive about identifying repeated problems and turning them into reusable platform capabilities
• Enjoys mentoring others and helping raise the engineering bar across the team

Our Offer

• Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
• Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
• Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
• Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches.
• Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member.
• Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location
• Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why  

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

#LI-RS1

About the AI Platform Team

The AI Platform Team enables Awin teams to build, ship, and operate AI-powered products safely, consistently, and efficiently.

We focus on the shared platform and enablement layer for AI development across the company. That includes reusable services, internal APIs and SDKs, platform patterns, observability, evaluation support, guardrails, cost visibility, and practical guidance that helps teams move from experimentation to production with confidence.

This is a team for engineers who enjoy building internal platforms, creating paved roads for others, and raising the engineering quality bar for AI development across the organization.

About the role

We are looking for a Senior AI Platform Engineer - Security & Governance to join the AI Platform Team and help define and implement the guardrails, privacy patterns, governance mechanisms, and safe defaults that allow AI adoption to scale responsibly across Awin.

In this role, you will work on the safety and control layer of AI development: AI security patterns, privacy and PII handling guidance, provider and model governance, reusable guardrails, and lightweight readiness mechanisms that improve safety without creating unnecessary process.

This role is best suited to someone who combines strong engineering judgment with real practical experience in security, governance, privacy, or compliance for AI-powered systems. We care more about evidence of sound decision-making and pragmatic implementation than about titles or years in a specific niche.

What youʼll do

• Define and improve practical guardrails and safe defaults for AI-powered systems
• Help shape Awinʼs approach to privacy, PII handling, and data-safe patterns for AI workflows
• Contribute to approved provider and model guidance, including practical validation and usage expectations
• Work with engineers to translate policy, risk, and governance needs into reusable platform patterns and engineering controls
• Help define production-ready expectations for AI systems from a safety, governance, and risk perspective
• Contribute to readiness checks, automated validations, and scalable governance mechanisms that reduce reliance on manual approval processes
• Help improve logging, tracing, and observability practices so AI systems are auditable and safer to operate
• Partner closely with Security, Legal, Architecture, and product engineering teams to ensure standards are practical and proportionate
• Support teams in understanding AI-specific risks such as unsafe outputs, provider misuse, privacy exposure, and poor trace hygiene
• Write clear documentation, patterns, and guidance that help teams apply standards consistently
• Contribute to strong engineering practices across the team through clean code, testing, and collaboration 
• Mentor others and help raise the teamʼs overall maturity in AI safety, governance, and privacy-aware engineering

Requirements

• Strong software engineering fundamentals and experience working on production systems
• Practical experience in security, governance, privacy, compliance, or risk-related engineering work
• Clear hands-on experience applying those controls to AI- or LLM-powered systems
• Strong understanding of AI-specific risks, including privacy exposure, PII handling, unsafe outputs, provider/model risk, and misuse or abuse patterns
• Experience translating policy or risk requirements into practical engineering controls, patterns, or defaults
• Good understanding of how to make AI systems observable, auditable, and safer to operate in production
• Ability to work effectively with engineers, architects, and non-engineering stakeholders such as Security or Legal
• Good practical experience with Python and/or JavaScript / TypeScript
• Comfortable working across the lifecycle of a platform capability, from design and implementation to rollout and iteration
• Good understanding of information security and how to design solutions with security in mind
• Comfortable applying unit testing, continuous integration, and continuous deploymentStrong communication skills, both synchronous and asynchronous
• Comfortable working through ambiguity and helping shape standards where the right balance between safety and speed is still evolving
• Strong judgment and pragmatism, with an ability to improve safety without introducing excessive bureaucracy

Nice to have

• Experience designing or implementing guardrails for AI or LLM-powered systems
• Experience with AI governance automation, readiness gates, policy checks, or preflight validation patterns
• Familiarity with tracing, auditability, and logging standards for AI systems
• Familiarity with evaluation workflows, regression checks, and production readiness practices for AI
• Experience assessing third-party AI providers or model usage from a risk or governance perspective
•  Experience with privacy-by-design patterns in data-sensitive systems
• Experience working in regulated or higher-risk environments
• Experience writing clear developer guidance and turning repeated risk questions into reusable standards

Tools and technologies you may work with:

• Python
• JavaScript / TypeScript
• Azure / AWS
• LLM APIs
• CI/CD tooling
• Observability and tracing tools
• Policy and validation patterns
• Internal platform services, standards, and governance tooling

Working style

We are looking for someone who enjoys building in a space that is evolving quickly, but who stays grounded in pragmatic engineering and long-term platform value.

A strong fit for this role is someone who:

• Thinks clearly about real-world AI risk, not just theoretical concerns
• Can balance safety, speed, and developer experience
• Communicates clearly and helps others understand trade-offs
• Prefers reusable controls and automation over manual gatekeeping
• Is comfortable collaborating across engineering, security, architecture, and legal boundaries
• Writes clear, actionable guidance rather than vague policy language
• Is proactive about identifying risk patterns early and turning them into scalable solutions
• Enjoys helping other engineers build safer systems without slowing them down unnecessarily

Our Offer

• Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
• Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
• Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
• Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches.
• Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member.
• Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location
• Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why  

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

#LI-RS1

Purpose of the Position

We're looking for a Senior AI Engineer to help us build the next generation of AI-native products at Awin. The features you'll work on are used directly by advertisers, publishers and partner managers across our global ecosystem to grow and run their affiliate programs things like conversational AI experiences, intelligent automation and decision-support tools built on top of Large Language Models and agent-based architectures.

This is a senior product engineering role where you will own real problems end-to-end, make architecture decisions the team builds on and balance technical depth with the realities of shipping software to customers. We expect you to have an opinion on the system design, the evaluation strategy and the way we operate AI in production.

The Team

You will be joining the AI Solutions team in our Growth Domain. This team is responsible for building AI-native products. Our work is highly visible and every feature you ship can have a real impact on how our customers manage and grow their affiliate programs.

Our engineering culture is built on pragmatic problem solving, strong ownership, fast iteration and a high production bar set through rigorous evaluation, observability and safe-by-default design. We're cloud-first on AWS, working with a Python-based stack that combines agent orchestration, retrieval and standard backend foundations, refreshed as the field moves.

 The team practices scrum and you'll have the opportunity to bring new ideas whether that's a different way to solve a problem, an improvement to how we work or sharing best practices for a new technology within the team.

Along with access to learning platforms, hackathons and cross-team initiatives, you will have plenty of opportunities to learn and gain experience from people across the many other teams within Awin.

What You'll Do

• Design, build and operate customer-facing AI features end-to-end, from conversational experiences to intelligent automation.
• Architect agent-based systems: multi-step reasoning, tool execution, sub-agent orchestration, state management and streaming, structured outputs, persistent memory and human-in-the-loop approval flows.
• Decide how the system grounds, retrieves and constructs context.
• Pick the right pattern (retrieval, structured tools, agentic flows) for each problem and be able to defend the choice.
• Treat prompt and context engineering as first-class engineering work.
• Own AI quality. Build evaluation datasets, regression tests for prompts and agents and the debugging discipline needed to get to root cause across model outputs, retrieval and tool calls.
•  Make AI production-ready: observability, tracing, reliability, cost, latency and the safety controls that protect against hallucination, prompt injection and context leakage.
• Make and explain the trade-offs between accuracy, latency, cost and safety within engineering and product partners. Partner within Product Trio to shape what we build, not just how we build it.
• Turn ambiguous product ideas into concrete technical designs and influence roadmap with what the technology actually makes possible.
• Mentor engineers around you, contribute to design reviews and our hiring bar and raise the standard for what production-ready AI means inside the team.

What You'll Bring

• 8+ years of professional software engineering experience, with a track record of shipping production systems.
• Strong Python and backend system design.
• Real, hands-on experience building and running production LLM-based systems not just prototypes.
• Deep experience with agent-based architectures using frameworks such as LangGraph, the Deep Agents or equivalents with multi-step reasoning, tool use, sub-agent orchestration, state and streaming.
• Strong working knowledge of retrieval and context construction (RAG, embeddings, chunking, ranking) and good judgement about when to use those patterns inside an agentic system.
• A solid track record of evaluating and debugging AI systems: structured evals, regression tests and tracing or observability with tools such as LangSmith or similar.
• Familiarity with emerging agent orchestration standards (MCP or similar). Experience with vector databases and hybrid retrieval.
• A clear understanding of LLM failure modes like prompt injection, content safety, context leakage  and how to mitigate them in real systems.
• Strong fundamentals in distributed systems, API design and cloud-native architectures on AWS (ECS, Lambda, S3, API Gateway).
• Confident with PostgreSQL, Redis, Docker and modern CI/CD pipelines like GitHub Actions.
• A collaborative engineer who's comfortable working in a Scrum team alongside Product, UX and cross functional teams.

Nice to Have

• Experimentation frameworks (A/B testing, offline-to-online metric correlation).
• Cost-aware AI engineering at production scale in monitoring token usage, model selection, caching and routing strategies that keep latency and spend predictable as traffic grows.

Our Offer

• Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
• Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
• Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
• Meal Vouchers: You will be supported with a certain net sum to spend it on a variety of lunches.
• Health & Wellbeing: The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member.
• Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location
• Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why  

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

#LI-RS1