Job Description
At Connectly we are building the future of conversational commerce in Latin America with the focus on Whatsapp. Buying on Whatsapp is ubiquitous in Latin America, yet only small businesses have made it truly seamless by asking real people to respond to Whatsapp messages. We at Connectly are building an AI-powered sales platform for large retailers.
We’re a VC-backed Series B startup with a world-class team from Meta, Google, Uber, and other leading Silicon Valley companies. We operate as a hybrid organization, with offices in Bogotá and San Francisco, and distributed teams across Latin America, including Brazil, where many of our AI initiatives are based.
Requirements:
- MS or BS in Computer Science (required).
- 10+ years of software engineering experience with a strong focus on AI/ML systems.
- Proven track record of launching customer-facing AI products using LLMs.
- Expertise in model fine-tuning, prompt engineering, multi-agent orchestration, and AI evaluations.
- Experience leading technical strategy or architecture initiatives across large or multi-disciplinary engineering organizations.
- Background in a leading AI or technology company with exposure to world-class engineering practices.
- Strong understanding of distributed systems, inference optimization, caching, and large-scale data pipelines.
- Hands-on experience with Python, AWS, Kafka, Postgres, and DynamoDB or equivalent technologies.
Responsibilities include:
- Define and execute the technical strategy for Connectly’s AI platform in collaboration with the CTO and senior leadership.
- Architect, build, and launch production-grade AI systems that power customer-facing conversational experiences at scale.
- Lead technical alignment across AI, infrastructure, and application engineering teams spanning Brazil, Bogotá, and San Francisco.
- Experiment with and deploy advanced LLMs to address business use cases including retrieval-augmented generation, multi-agent orchestration, and contextual reasoning.
- Design evaluation frameworks for AI model quality, latency, safety, and overall customer experience.
- Develop pipelines for model fine-tuning, prompt optimization, and continuous learning, ensuring high performance and reliability.
- Partner with platform and infrastructure teams to optimize cost, performance, and scalability across the AI stack.
- Collaborate with product and data leadership to turn strategic objectives into measurable outcomes.
- Serve as a hands-on technical mentor, guiding engineering teams and fostering a culture of innovation, rigor, and excellence.
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.
Responsibilities
Responsibilities include:
- Define and execute the technical strategy for Connectly’s AI platform in collaboration with the CTO and senior leadership.
- Architect, build, and launch production-grade AI systems that power customer-facing conversational experiences at scale.
- Lead technical alignment across AI, infrastructure, and application engineering teams spanning Brazil, Bogotá, and San Francisco.
- Experiment with and deploy advanced LLMs to address business use cases including retrieval-augmented generation, multi-agent orchestration, and contextual reasoning.
- Design evaluation frameworks for AI model quality, latency, safety, and overall customer experience.
- Develop pipelines for model fine-tuning, prompt optimization, and continuous learning, ensuring high performance and reliability.
- Partner with platform and infrastructure teams to optimize cost, performance, and scalability across the AI stack.
- Collaborate with product and data leadership to turn strategic objectives into measurable outcomes.
- Serve as a hands-on technical mentor, guiding engineering teams and fostering a culture of innovation, rigor, and excellence.
Requirements
Requirements:
- MS or BS in Computer Science (required).
- 10+ years of software engineering experience with a strong focus on AI/ML systems.
- Proven track record of launching customer-facing AI products using LLMs.
- Expertise in model fine-tuning, prompt engineering, multi-agent orchestration, and AI evaluations.
- Experience leading technical strategy or architecture initiatives across large or multi-disciplinary engineering organizations.
- Background in a leading AI or technology company with exposure to world-class engineering practices.
- Strong understanding of distributed systems, inference optimization, caching, and large-scale data pipelines.
- Hands-on experience with Python, AWS, Kafka, Postgres, and DynamoDB or equivalent technologies.
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