AI Engineer

DescriptionAI EngineerAbout AstellasAt Astellas we are a progressive health partner, delivering value and outcomes where needed.We pursue innovative science, focussing initially on the areas of greatest potential and then developing solutions where patient need is high, often in rare or under-served disease areas and in life-threatening or life-limiting diseases and conditions.We work directly with patients, doctors and health care professionals on the front line to ensure patient and clinical needs are guiding our development activities at every stage.Our global vision for Patient Centricity is to support the development of innovative health solutions through a deep understanding of the patient experience. At Astellas, Patient Centricity isn’t a buzzword - it’s a guiding principle for action. We believe all staff have a role to play in creating a patient-centric culture and integrating an awareness of the patient into our everyday working practices, regardless of our role, team or division.We work closely with regulatory authorities and payers to find new ways to ensure access to new therapies. We deliver the latest insights and real-world evidence to inform the best decisions for patients and their caregivers, to ensure the medicines we develop continue to provide meaningful outcomes.Beyond medicines, we support our stakeholder communities to drive initiatives that improve awareness, education, access and ultimately standards of care.The OpportunityAs AI Engineer, you will be responsible for designing, deploying, and maintaining robust backend systems and APIs that power Astellas’ Generative AI platforms and digital transformation initiatives. The role focuses on production-level deployment, efficient data integration, and seamless handling of diverse data formats, ensuring scalable and reliable service delivery across commercial, manufacturing, and medical operations.Hybrid WorkingAt Astellas we recognise the importance of balancing your work and home life, so we offer a hybrid working solution allowing time to connect with colleagues in person at the office alongside the flexibility to work from home; optimising the most productive work environment for you to succeed and deliver.Key Responsibilities GenAI Research & Prototyping: Continuously monitor and evaluate new generative AI models and APIs. Multi-Agent Systems: Design and develop multi-agent architectures to support collaborative AI workflows. Fine-Tuning & Domain Adaptation: Prepare domain-specific datasets and fine-tune LLMs (LoRA and full-model) with experiment tracking via MLflow. API Integration & Deployment: Design, develop, and maintain secure, scalable integrations with generative AI endpoints (OpenAI, Anthropic, HuggingFace); embed GenAI features into web, mobile, and backend systems. Production Support & Training: Provide hands-on support to production teams and deliver training sessions on technical AI concepts. Performance Monitoring & Optimization: Define and track key metrics (generation quality, response time, cost per call); implement retrieval-augmented generation (RAG) using scalable vector databases relevance. Essential Knowledge & Experience Substantial years of machine learning &or software engineering, with a focus on designing, building, and deploying highly scalable AI solutions Programming & Automation: Expert proficiency in Python for API development, automation, and scripting GenAI Frameworks & APIs: Hands-on experience with generative-AI APIs (OpenAI, Anthropic, Cohere) and orchestration frameworks (LangChain, LangGraph) Fine-Tuning & Experiment Tracking: Skilled in fine-tuning workflows (LoRA and full-model) and experiment tracking tools such as MLflow (or equivalent) Retrieval-Augmented Generation: Familiarity with vector databases (and RAG) approaches for improved relevance Infrastructure & Deployment: Solid understanding of RESTful and GraphQL services, containerization (Docker), orchestration (Kubernetes), and cloud platforms (GCP, Azure) Collaboration & Communication: Excellent problem-solving skills, clear technical communication, and proven ability to work cross-functionally with product, engineering, and data science teams Preferred Qualification ETL & Data Pipelines: Familiarity with end-to-end ETL processes and tools for data extraction, transformation, and loading Scalable ML & GenAI Projects: Proven track record delivering large-scale machine learning or generative-AI applications Monitoring & Logging: Solid understanding of application monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack) Databricks: Hands-on experience with Databricks for data engineering and ML workflow orchestration MCP (Model Context Protocol): Understanding of MCP for managing model inputs, outputs, and conversational context Multi-Agent System Orchestration: Experience designing and managing orchestration of multi-agent AI systems Real-Time Connectivity: Expertise integrating real-time data streams and low-latency connectivity in production systems Educations/Qualifications Bachelor’s degree in Computer Science or a related field or equivalent. Additional Information This is a permanent role based in our Global Capability Centre in Warsaw, Poland and hybrid working with the expectation for some office presence. Flexibility may be required in line with business need. Candidates must be located within a commutable distance of the office. Astellas’ Global Capability Centres – OverviewAstellas’ Global Capability Centre’s (GCCs) are strategically located sites that give Astellas the ability to access talent across various functions in the value chain and to co-locate core capabilities that are currently dispersed. Our three GCCs are located in India, Poland and Mexico.The GCCs will enhance our operational efficiency, resilience and innovation potential, enabling a timely response to changing business demands.Our GCCs are an integral part of Astellas, guided by our shared values and behaviors, and are critical enablers of the company’s strategic priorities, sustainable growth, and commitment to turn innovative science into VALUE for patients.We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.Beware of recruitment scams impersonating Astellas recruiters or representatives. Authentic communication will only originate from an official Astellas LinkedIn profile or a verified company email address. 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