Connectly8mo ago

Senior Software Engineer (SF)

United States·San Francisco,San Franciscosenior

Software EngineerSoftware Engineering

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Quick Summary

Overview

At Connectly we are building the future of conversational commerce in Latin America with the focus on Whatsapp. Instead of shoppers installing yet another app, we are offering a 360 engagement platform for retailers inside of an app that everyone already have on their phone - Whatsapp.

Technical Tools

awsdynamodbkafkapostgresqlpythonreacttypescriptcode-review

We are a VC-backed Series B startup with a world-class team hailing from Meta, Google, Uber, and other top Silicon Valley companies. We operate as a hybrid company, with offices in Bogotá and San Francisco, and a remote-first culture everywhere else.

We’re looking for an exceptional Senior Software Engineer who thrives in building large-scale, enterprise-grade systems and is passionate about shaping how AI transforms retail commerce. You’ll work across backend and frontend domains, collaborating closely with product, sales, and AI platform teams to design, prototype, and launch powerful conversational experiences for some of Latin America’s largest retailers. This is a role for an independent problem solver who enjoys both deep technical challenges and high-impact product thinking.

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.

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.

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.

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.

We are a strong believer in passion, curiosity and willingness to learn on the job. If you are in doubt, we encourage you to apply!

Connectly is an equal opportunity employer. We’re committed to building a diverse, inclusive, and supportive workplace that is distributed around the world.