Intelligent Automation Developer (For independent contractors)

We are looking for an enthusiastic GENAI Engineer professional to join the ranks of our Intelligent Automation Team to help us meet increasing demand from the business, support our rapidly growing portfolio of automation and make an impact across every business area at Booking.com. We look at our team as a service provider for the entire company, operating with a large degree of autonomy and enterpreneurship.

Responsible: Naturally oriented towards improving efficiencies. Seeking accountability from themselves and others. Compassionate collaborator with a deep sense of comradery. Willingness to be cross-functional, pick up new skills and cover new ground with/for the team. Striving for continuous improvement and high quality in their work. Strong work ethic and high spirit. Keen to understand and solve real world problems through technology.

Skilled: Hands-On developing & deploying GenAI + Agentic Apps at scale. Designing AI Apps (React/Next.js, TypeScript) and backend (Python/FastAPI, Node.js, Kafka, Kubernetes) to build E2E production grade Apps. Vectors, Chunking, Embedding Strategies for GenAI RAG Apps. Knowledge-graph-grounded AI answering techniques (Manage Hallucinations). Manage Evals, drifts for Agentic Applications. Langchain, Langraph or similar Agentic frameworks. Built a lot of Skills (Skill.md), Agents Specs in Harness Engineering.

Experience building Custom MCPs, use Out-of-the-box MCPs.

Data Engineering: Advanced SQL, Snowflake, REST APIs.

Infrastructure: AWS (RDS, EC2, S3, IAM, CloudWatch, Lambda). Deploy GenAI Apps with Docker, Kubernetes (Advanced), Git/GitHub.

Observability / Monitoring: Arize, Grafana, Loki, Mimir, Prometheus. Claude code, cursor, codex or similar IDEs. Proficiency in core Python libraries. Ability to design, implement, and maintain DAGs, operators, sensors, and connections; manage retries, SLAs, and backfills. Experience with Secrets & Authorizations - VAULT, PASSPORT, Okta. Exposure to Terraform code for deploying AWS (good to have).

Offered: Contributing to a high scale, complex, world-renowned product and seeing real-time impact of your work. Working in a fast-paced and performance-driven culture. Career advancement via online and on-the-job training, Hackathons, conferences and active community participation.