Staff AI engineer

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.
• 
  

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:

• 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.