Senior Software Engineer

Há 4 dias


Mogi Guaçu, Brasil Talently Tempo inteiro

Senior Software Engineer (Brazil) – Talently • Mogi Guaçu, São Paulo, Brazil Requirements BS or MS in Computer Science or related technical field. 5+ years of experience in hands‑on software engineering roles. Proven track record building and scaling enterprise systems using Python, AWS, Kafka, Postgres, and / or DynamoDB. Experience with frontend engineering (React, TypeScript, etc.) is a plus. Prior experience developing or deploying conversational AI applications is a strong plus. Experience working in fast‑paced, customer‑centric environments, ideally in a startup or high‑growth tech company. Responsibilities Design, build, and launch production‑grade conversational AI solutions for enterprise clients, from rapid prototypes to scalable deployments. Collaborate cross‑functionally with product managers, designers, and enterprise partners to define user journeys, performance goals, and success metrics. Leverage and contribute to Connectly's AI platform, working with engineering teams in San Francisco to integrate new capabilities and influence platform direction. Experiment with AI‑driven features, including LLM-based agents, retrieval systems, and automation pipelines to continuously improve customer engagement. Develop and maintain backend systems using Python, AWS, Kafka, Postgres, and DynamoDB for scalability and reliability. Establish, track, and iterate on AI performance metrics, leveraging data to optimize outcomes and drive measurable business results. Plan and manage your workstream, making thoughtful tradeoffs between deadlines, quality, and innovation. Mentor teammates, contribute to code reviews, and uphold engineering best practices in a fast‑moving, distributed environment. What will make you excel at this job Exceptional communication skills with both technical and non‑technical stakeholders. Deep attention to detail paired with strong system‑level thinking — you can zoom out to strategy and dive deep into code. A bias for action and results, with comfort navigating ambiguity and evolving product needs. Genuine curiosity and a drive to stay ahead of the rapidly changing AI landscape. Balance of product sense and technical rigor — you care as much about user experience as you do about system performance. Hands‑on experience with prompt design, agent evaluation, and LLM‑based system integration is a significant plus. #J-18808-Ljbffr


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