Design, implement, and operate cloud-native APIs and microservices for AI workloads using Python and FastAPI, following schema-first design (OpenAPI/gRPC).
Develop Model Context Protocol (MCP) servers (FastMCP) to safely expose enterprise tools and data to agents, ensuring robust permissions and auditing.
Architect agent workflows with LangChain, LangGraph, and PydanticAI (tool calling, memory, event-driven orchestration).
Build reliable text-to-sql solutions and/or RAG services with high-quality embeddings, indexing, reranking, and caching for performance and cost efficiency.
Implement CI/CD pipelines (GitHub Actions) with automated testing.
Deploy on AWS and/or Azure (containers, serverless, API gateways, managed databases, object storage, secrets).
Ensure end-to-end observability: structured prompt/response logging with redaction, token/latency/cost tracking, OpenTelemetry tracing, and model/agent monitoring (e.g., Langfuse/LangSmith/MLflow).
Establish safety and quality controls: evaluation pipelines, prompt/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/scalability trade-offs.
Promote continuous learning via code reviews, tech talks, and mentoring on AI engineering best practices.
Qualifications & Competencies (education, skills, experience)
Master’s degree (or equivalent) in Computer Science, Data/AI, Mathematics, or a related field; PhD is an advantage.
5+ years of professional experience in AI/software/ML engineering, with end-to-end product delivery in production environments.
Advanced Python and production-grade API development (REST/gRPC), authN/authZ (OAuth2/OIDC), rate limiting.
Containerization (Docker) expertise; Kubernetes experience is a plus.
Proficiency in AWS and/or Azure
AWS (examples): Lambda, ECS/Fargate/EKS, API Gateway, S3, RDS, Secrets Manager, Bedrock.
Azure (examples): Functions, AKS, API Management, Storage, PostgreSQL/Cosmos DB, Key Vault, Azure OpenAI.
Strong CI/CD knowledge, especially GitHub Actions.
Infrastructure as Code (Terraform preferred)
Solid grasp of LLMs and embeddings: context management, tool calling, streaming, and latency/cost trade-offs.
Monitoring and traceability mindset: OpenTelemetry, Langfuse/LangSmith.
Strong software engineering fundamentals: testing, code reviews, error handling, reliability/resilience.
Excellent problem-solving and communication skills; fluent in English (written & spoken).
Preferred: Hands-on with agent frameworks (e.g. LangChain, LangGraph, PydanticAI) as well as FastAPI and FastMCP for MCP server development.
Preferred: RAG and vector search proficiency (pgvector, OpenSearch)
Preferred: Experience with relational databases (e.g., PostgreSQL); Databricks experience a plus.
You feel you do not meet all criteria we are looking for? That doesn’t mean you aren’t the right fit for the role. Apply with confidence, we value potential over perfection!
WORK LOCATION: WARSAW AL. JEROZOLIMSKIE 158
At Bayer, we are committed to transparency, equal pay for equal work or work of equal value, and objective reward practices in line with EU and local regulations. The minimum monthly gross compensation for this role is 20 240 PLN, with final pay determined based on objective factors such as experience, qualifications, scope of responsibility, and internal alignment.
This position is eligible for variable pay components, such as performance‑based bonuses, awarded in accordance with the applicable employee group, role scope, and compensation structure.
In addition, Bayer offers a competitive and holistic benefits package, including:
Medical care above statutory requirements
Flexible benefits supporting leisure, and well‑being/sports programs
Life, accident, and disability insurance through group coverage
Employer‑supported pension plans with regular company contributions
Home office allowance to support hybrid or remote work
Extra Paid Holidays
Benefits may vary depending on country, role, and employment conditions.
YOUR APPLICATION
Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager. Bayer respects and applies the Whistleblower Act in Poland.
Location
Poland : Mazowieckie : Warszawa
Division
Enterprise Data & Analytics Platform
Reference Code
877971
Location
Poland : Mazowieckie : Warszawa
Division
Enterprise Data & Analytics Platform
Reference Code
877971
