Teams at Infinitive

Designs and implements AI-enabled business process transformations for clients. Responsibilities include prompt and context engineering, MCP tool and API integrations, agentic workflow design, knowledge architecture, documentation, evaluation, testing, governance, and human-in-the-loop controls. The role requires translating ambiguous business challenges into reliable AI systems, collaborating with executives and technical teams, and developing scalable operating models using modern AI tools.

Recent graduates will join Infinitive’s technology consulting team, gaining hands-on experience with AWS, Databricks, data analysis, data engineering, application development, and AI. Responsibilities include developing modern technology solutions, applying industry best practices, building consulting skills, and pursuing AWS and Databricks certifications. Candidates need a technical degree, baseline data and application development experience, AI tool familiarity, strong analytical and communication skills, self-motivation, and leadership abilities.

Design and scale event-driven data platforms using Apache Kafka and Temporal. Build batch and streaming ETL/ELT pipelines with Python, SQL, and Spark; develop data schemas, validation, contracts, and quality controls; optimize warehouse and lakehouse models; and implement reliable, observable workflows. Collaborate with software, machine learning, and analytics teams on distributed systems, CI/CD, and production data governance.