Senior Software Engineer

Há 7 dias

Brasil, BR Talently Tempo inteiro

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.

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