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.
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 working in fast-paced, customer-centric environments, ideally in a startup or high-growth tech company.
Nice to Have
- Experience with frontend engineering (React, TypeScript, etc.).
- Prior experience developing or deploying conversational AI applications.
- Hands-on experience with prompt design, agent evaluation, and LLM-based system integration.
Benefits
- Work alongside an exceptional, mission-driven team in a culture that values curiosity, impact, and continuous learning.
- Competitive compensation with equity participation.
- Unlimited time off and flexible working hours.
- Hybrid work opportunities with offices in Bogotá and San Francisco.
Work Arrangement
Hybrid
Additional Information
- We believe that passion, curiosity, and a willingness to learn on the job outweigh years of narrow experience.
