ai engineer for enterprise AI solutions

Enfint; Warszawa; On-site; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Home office allowance

Flexible benefits (well-being & sports

Medical, life & disability insurance

Pension plans with company contribs

Extra paid holidays

Hybrid work model

Job summary

Bayer ищет опытного инженера по искусственному интеллекту для промышленной эксплуатации GenAI решений. Вы будете проектировать и разворачивать облачные API и микросервисы с использованием Python, FastAPI и gRPC, обеспечивая безопасность и масштабируемость.

Требуется опыт end-to-end поставки продукта, владение Docker/AWS/Azure, GitHub Actions и IaC (Terraform). В задачи входят создание среды для обучения и эксплуатации моделей, а также обеспечение наблюдаемости и качества через тесты и

Qualifications

• Уровень владения Python на продакшн-уровне; опыт разработки REST/gRPC API.
• Опыт развёртывания и эксплуатации облачных продуктов (AWS/Azure).
• Понимание принципов CI/CD, инфраструктуры как кода, Terraform.

Responsibilities

• Спроектировать и внедрить облачные API и микросервисы для нагрузок AI.
• Развернуть и поддерживать генеративные решения (GenAI) в продуктивной среде.
• Обеспечить безопасность, аудит и контроль доступа (authN/authZ, OAuth2/OIDC).
• Обеспечить наблюдаемость: OpenTelemetry, логирование и показатели производительности.
• Совместно с командами Data Science, MLOps/DevOps, Architecture и Product достигать бизнес-результатов.

Skills

English proficiency

End-to-end product delivery

Problem solving

Communication

Education

Master’s degree in CS/AI/Math

Tools

Docker

AWS

Azure

GitHub Actions

Terraform

FastAPI

gRPC

OpenAPI

LangChain

LangGraph

PydanticAI

Job description

Описание

Bayer is a chemical, pharmaceutical, and biotechnology company focused on solving global challenges in health and food security. Its Enterprise Data & Analytics Platform develops AI solutions for Finance, Supply Chain, HR, Procurement, Legal, and Communications.

Задачи

• Industrialize and scale successful GenAI prototypes into secure, resilient IT products for Enabling Functions;


• Design, implement, and operate cloud-native APIs and microservices for AI workloads using Python and FastAPI, following schema-first design with OpenAPI/gRPC;


• Develop Model Context Protocol servers with FastMCP to safely expose enterprise tools and data to agents, ensuring robust permissions and auditing;


• Architect agent workflows with LangChain, LangGraph, and PydanticAI, including tool calling, memory, and event-driven orchestration;


• Build reliable text-to-SQL solutions and/or RAG services with embeddings, indexing, reranking, and caching;


• Implement CI/CD pipelines with GitHub Actions and automated testing;


• Deploy AI workloads on AWS and/or Azure using containers, serverless services, API gateways, managed databases, object storage, and secrets management;


• Ensure end-to-end observability through structured prompt and response logging with redaction, token, latency and cost tracking, OpenTelemetry tracing, and model and agent monitoring;


• Establish safety and quality controls, including evaluation pipelines, prompt and chain regression tests, content guardrails, and injection defenses;


• Collaborate across Data Science, MLOps/DevOps, Architecture, Product, and Business to align solutions with outcomes;


• Contribute to stack decisions and cost and scalability trade-offs;


• Promote continuous learning through code reviews, tech talks, and mentoring on AI engineering best practices.

Требования

• Master’s degree or equivalent in Computer Science, Data/AI, Mathematics, or a related field;


• 5+ Years of professional experience in AI, software, or ML engineering;


• End-to-end product delivery experience in production environments;


• Advanced Python and production-grade REST/gRPC API development skills;


• Experience with authN/authZ, OAuth2/OIDC, and rate limiting;


• Containerization expertise with Docker;


• Proficiency in AWS and/or Azure;


• Strong CI/CD knowledge, especially GitHub Actions;


• Infrastructure as Code experience;


• Terraform is preferred;


• Solid understanding of LLMs and embeddings, including context management, tool calling, streaming, and latency and cost trade-offs;


• Strong software engineering fundamentals, including testing, code reviews, error handling, and reliability/resilience;


• Excellent problem-solving and communication skills;


• Fluent English, written and spoken; Nice to have: PhD, Kubernetes experience, hands-on experience with LangChain, LangGraph, PydanticAI, FastAPI and FastMCP, RAG and vector search proficiency with pgvector or OpenSearch, relational database experience with PostgreSQL, Databricks experience.

Условия

• Variable pay components, including performance-based bonuses, are available;


• Medical care above statutory requirements;


• Flexible benefits supporting leisure and well-being, including sports programs;


• Life, accident, and disability insurance through group coverage;


• Employer-supported pension plans with regular company contributions;


• Home office allowance;


• Extra paid holidays;


• The hybrid model can be discussed with the manager.