Production Support Engineer - AI & LLM

Purpose of the Position We are hiring a Software Engineer for the AI Solutions team to design, build and operate the backend systems, APIs and cloud-native services that power Awinʼs next-generation AI-native products. You will deliver production-grade features used by advertisers, publishers and partner managers to improve discovery, automation and decision-making through conversational experiences and intelligent workflows. This role combines strong backend engineering with practical exposure to AI-enabled application development. You will focus on building reliable, secure and maintainable systems that integrate LLMs and AI workflows into production, while collaborating closely with Senior AI Engineers, Data Engineers, Senior Software Engineers and Product Managers. The Team You will be joining the AI Solutions team in our Growth Domain. This team is responsible for building AI-native products and capabilities across the organisation. Our work is highly visible and every feature you ship can have a direct impact on how our customers operate and grow affiliate programs. The team works across conversational AI, intelligent automation, AI-assisted discovery etc., We partner closely with Product Managers, UX, Data Engineering and platform teams to move ideas from experimentation into reliable production systems. Our engineering culture is built on pragmatic problem solving, strong ownership, fast iteration and building production-ready systems with a strong operational mindset. We care deeply about reliability, observability, maintainability and delivering measurable customer value. Weʼre cloud-first on AWS, working primarily with a Python-based backend stack alongside modern AI tooling and infrastructure. The team practices Scrum and youʼll have the opportunity to contribute ideas, improve engineering practices and work closely with experienced engineers across AI, backend and platform domains. Along with access to learning platforms, hackathons and cross-team initiatives, you will have opportunities to grow your expertise in backend engineering, cloud-native systems and modern AI-enabled product development. What Youʼll Do * Design, build and operate scalable backend services and APIs for AI-enabled applications and workflows. * Collaborate with Senior AI Engineers and Data Engineers to integrate AI capabilities and LLMbased workflows into production systems. * Develop cloud-native services using Python and frameworks such as FastAPI on AWS with ECS, Lambda, RDS, S3 and ElastiCache/Redis. * Support AI orchestration and intelligent agent workflows, including inference pipelines, tool integrations and scalable AI workflow patterns. * Build and maintain CI/CD pipelines, automated testing and release processes.  * Improve observability and operational excellence through logging, monitoring, distributed tracing, alerting and production troubleshooting. * Participate in system design discussions, code reviews and architecture reviews. * Optimise backend services for performance, scalability, resilience and cost-efficiency.  * Work closely with Product Managers and cross-functional teams to translate user problems and business requirements into technical solutions. * Contribute to engineering culture through collaboration, ownership, knowledge sharing and continuous improvement. What Youʼll Bring * 3+ years of professional experience building backend systems and APIs in production environments. * Strong Python development skills and experience with frameworks such as FastAPI, Flask or similar. * Solid backend engineering fundamentals including API design, distributed systems, concurrency, caching and performance optimisation. * Experience working with AWS services such as ECS, Lambda, RDS, S3 and ElastiCache/Redis. * Infrastructure as Code experience using Terraform or Terragrunt. * Experience with PostgreSQL, Redis, Docker and CI/CD tooling such as GitHub Actions. * Working knowledge of Java and/or TypeScript with the ability to understand, contribute to or integrate with services and applications built using those technologies. * Understanding of observability, monitoring and operational best practices for production systems. * Ability to debug and troubleshoot issues across APIs, infrastructure and application services. * Strong collaboration and communication skills within agile product teams. * Interest in AI-enabled applications and willingness to work across backend, infrastructure and AI integration layers. Nice to Have * Implement and maintain Infrastructure as Code using Terraform and Terragrunt. * Exposure to AI/LLM application development or orchestration frameworks such as LangChain or LangGraph.  * Experience working with Angular for frontend integrations or internal tooling. * Familiarity with LangSmith or similar tracing and observability platforms. * Exposure to conversational AI systems, agent-based workflows or retrieval-augmented generation (RAG) concepts. 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

Enterprises are adopting AI faster than they can govern it — and they are looking for a partner who can do two things at once: speak credibly about AI trust, governance, and security, and actually build. The Forward Deployed Engineer (AI) is that partner. You are the technical face of AvePoint inside client organizations: equally comfortable whiteboarding AI trust and governance concepts with a CISO, translating a business problem into a scoped AI build project, and writing the first working prototype yourself. You embed with clients, ship real outcomes, and own the engagement end to end. This is not a pre-sales role with a demo script, and not a back-office delivery role. It is the engagement model pioneered by leading AI companies for their strategic enterprise customers: a senior engineer deployed forward, with the autonomy to own the problem from first workshop to production. WHAT YOU'LL DO ADVISE ON AI TRUST AND GOVERNANCE. Lead workshops that help clients understand and take control of their AI landscape — agents, copilots, models, and the data behind them, including the shadow AI they didn't know about. Explain AI governance, security posture, and resilience concepts credibly to both technical teams and executives. Guide clients through obligations such as the EU AI Act, NIS2, and ISO 42001, and help them stand up practical operating models: AI inventories, approval workflows, risk classification, and audit evidence. SCOPE AND SHAPE AI BUILD PROJECTS. Sit with business stakeholders to understand the underlying need behind "we want AI for X." Identify the highest-value use cases, define success criteria, and translate ambiguous requirements into concrete, estimable technical scopes — architecture outlines, data and integration requirements, delivery phases, effort and risk assessments. Write statements of work that engineering teams can actually deliver and clients can actually sign. BUILD AND DELIVER. Develop prototypes and production components for client AI solutions: agent workflows, RAG pipelines, LLM integrations (Azure OpenAI, AWS Bedrock, Google Vertex, Anthropic), MCP-based tool integrations, and the governance and security controls around them. Deliver custom adapters and local tooling for regulated, cloud-restricted, or air-gapped environments where standard SaaS approaches cannot go. OWN THE RELATIONSHIP THROUGH DELIVERY. Act as the trusted technical advisor from first workshop through go-live: run enablement sessions, support adoption, troubleshoot in production, and expand the engagement where you see genuine value for the client. WHAT WE'RE LOOKING FOR MUST-HAVES * 5+ years in software engineering, solutions architecture, or technical consulting, with at least 2 years hands-on with modern AI/LLM systems in real projects (not only experimentation). * Practical experience building with LLM APIs and frameworks (e.g., Azure OpenAI, Bedrock, Vertex, LangChain, Semantic Kernel) and patterns such as RAG, agentic workflows, and tool/function calling. * Machine Learning Expertise: Hands-on machine learning experience spanning model development, evaluation, deployment, and operationalization, with a focus on enterprise AI solutions, predictive analytics, and scalable MLOps practices. * Strong programming skills in Python and/or C#/TypeScript, plus working fluency with at least one major cloud platform (Azure, AWS, or GCP), including identity, networking, and data services. * Demonstrated ability to scope technical projects from ambiguous business requirements: you can run a requirements workshop, challenge assumptions constructively, and produce a credible plan with phases, estimates, and risks. * Excellent communication in front of senior stakeholders — you can explain why AI governance matters to a board member and debate vector database trade-offs with a platform engineer in the same meeting. * Willingness to travel to client sites and to operate with high autonomy in ambiguous, fast-moving engagements. STRONG PLUSES * Working knowledge of AI governance and compliance frameworks: EU AI Act, NIS2, ISO/IEC 42001, NIST AI RMF, or Gartner's AI TRiSM model. * Experience with AI security topics: prompt injection, data leakage, agent permissioning, model and data security posture (AI-SPM/DSPM concepts). * Familiarity with the Model Context Protocol (MCP), agent runtimes, or vector databases (e.g., Pinecone, Milvus, Weaviate, Chroma). * Background in enterprise data governance, security, backup/resilience, or the Microsoft 365 / multi-cloud ecosystem where AvePoint operates. * Experience delivering into regulated industries (public sector, defense, financial services, healthcare) or air-gapped/sovereign environments. * Prior experience in a forward-deployed, embedded consulting, or customer-facing engineering role. * Additional languages relevant to your region's client base. HOW WE'LL MEASURE SUCCESS Within your first 6–12 months, you will have led AI discovery and governance workshops for multiple enterprise clients, scoped and won at least one significant AI build or governance engagement, and delivered working software into a client environment. Above all: clients ask for you by name. WHY THIS ROLE, WHY NOW AI adoption has outrun enterprise control, and regulators have noticed. Every large organization now needs to see, govern, secure, and sustain its AI estate — and most need a partner who can both advise and build. As an FDE at AvePoint you will help define this engagement model from the ground floor, work at the frontier of agentic AI and AI trust, and do it with two decades of enterprise data governance and resilience expertise behind you.   #LI-SB1 Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice [https://www.avepoint.com/company/privacy-notice].