Staff Engineer – AI focus

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Bemobi

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2009

💳 Fintech

🛍️ eCommerce

📚 Education

Fintech • eCommerce • Education

Bemobi is a Brazilian technology company that revolutionizes the future of digital transactions by providing seamless payment solutions tailored to essential service industries. With a focus on enhancing customer experience, Bemobi offers a comprehensive platform for managing payments across various sectors including education, healthcare, finance, and utilities. Their solutions facilitate secure online transactions, optimize payment management, and improve engagement, making them a preferred choice among leading market players in multiple regions.

📋 Description

• Build and evolve the internal AI platform — a shared layer (model routing, prompt versioning, tools registry, memory, observability, and cost) separated from each area’s solution, with a paved path and self-service for tech and non-tech teams. • Own end-to-end architecture decisions for agentic/agent-based systems: orchestration, state, idempotency, retry/durability, RAG, model selection and routing, build vs. buy — planning, executing, and observing. • Measure the effectiveness of AI solutions (RAG effectiveness, agent reliability, hallucination rate) using evaluation and regression datasets, and use the numbers to decide — not just to monitor. • Share knowledge and raise the company’s AI bar: provide trainings, materials, and scalable best practices that extend usage beyond the team, translating non-technical area needs into solutions. • Participate in strategic projects hands-on, coding high-impact deliverables on short timelines when that moves a meaningful business metric. • Make and document architecture decisions with clear trade-offs, cost estimates, and impact. • Promote a culture of observability, security, and performance in AI solutions.

🎯 Requirements

• Solid background in distributed systems architecture and cloud, with end-to-end ownership (plans, executes, and observes). • Proficiency in at least one modern backend language (Go and Python are the primary languages in the area; relevant experience in Java/Kotlin also counts). • Hands-on experience with generative AI / LLMs, including fundamentals: RAG, MCP, and agent orchestration (using market frameworks or in-house solutions). • Ability to evaluate and measure AI effectiveness (groundedness/faithfulness, evaluation datasets, regression) — build it and know it’s working. • Strong communication and technical leadership: work across teams, serve internal tech and non-tech stakeholders, and influence by argument rather than hierarchy. • Critical and strategic mindset to operate in a domain without a ready-made playbook. • Continuous learning mindset, with autonomous updates in AI. • Demonstrated self-directed curiosity: POCs, personal projects, exploration outside formal work (builders of AI, not just daily users).

🏖️ Benefits

• Bradesco National Network Health Plan — extended to dependents without per-dependent deductions; • Bradesco Dental Plan — optional; • Flexible meal/food allowance (VR/VA) — maintained during vacation; • Profit-sharing (PLR); • Wellhub; • Birthday day off; • Home office allowance; • Commuter allowance (VT) as needed — legally permitted employee contribution applies; • Zurich life insurance; • Free access to all our products — AppsClub, Clube de Descontos, TrueCaller, BTFit, and Busuu; • Access to internal training via digital platforms; • Internal employee recognition program — Bemobucks.