The ad says“Expertise in model fine-tuning, prompt engineering, multi-agent orchestration, and AI evaluations”
The ad says“10+ years of software engineering experience with a strong focus on AI/ML systems”
The ad says“Hands-on experience with Python, AWS, Kafka, Postgres, and DynamoDB or equivalent technologies”
The ad says“Strong understanding of distributed systems, inference optimization, caching, and large-scale data pipelines”
The ad says“Strong understanding of distributed systems, inference optimization, caching, and large-scale data pipelines”
The ad says“Strong understanding of distributed systems, inference optimization, caching, and large-scale data pipelines”
The ad says“Hands-on experience with Python, AWS, Kafka, Postgres, and DynamoDB or equivalent technologies”
The ad says“Strong understanding of distributed systems, inference optimization, caching, and large-scale data pipelines”
The ad says“Hands-on experience with Python, AWS, Kafka, Postgres, and DynamoDB or equivalent technologies”
The ad says“Proven track record of launching customer-facing AI products using LLMs”
The ad says“Expertise in model fine-tuning, prompt engineering, multi-agent orchestration, and AI evaluations”
The ad says“Expertise in model fine-tuning, prompt engineering, multi-agent orchestration, and AI evaluations”
The ad says“Hands-on experience with Python, AWS, Kafka, Postgres, and DynamoDB or equivalent technologies”
The ad says“Expertise in model fine-tuning, prompt engineering, multi-agent orchestration, and AI evaluations”
The ad says“Hands-on experience with Python, AWS, Kafka, Postgres, and DynamoDB or equivalent technologies”
We are seeking an accomplished and visionary Staff AI Engineer to lead Connectly’s company-wide technical strategy for AI systems and infrastructure
This position reports directly to the CTO and plays a central role in shaping how Connectly’s technology, architecture, and AI capabilities evolve to serve millions of retail customers across Latin America
You will drive the design, development, and deployment of large-scale AI systems, leading the company’s efforts to innovate at the intersection of machine learning, conversational interfaces, and enterprise integration
This role blends deep hands-on technical work with strategic leadership, requiring an engineer who can operate across multiple levels of abstraction, from model tuning and latency optimization to long-term architecture and platform vision
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
Benefits
Significant equity
Health, dental, and vision insurance for you and your family
Top of the line workstation
Twice a year to travel to the US
A supportive, caring and learning environment
Remote & hybrid options
Unlimited time off
Flexible work hours
Preferred experience
Passion for innovation and applying cutting-edge AI technologies to real-world customer challenges
Proven success in defining and implementing large-scale technical strategies in complex or distributed environments
Deep understanding of both the science and engineering of modern AI systems
Exceptional communication and leadership skills, with the ability to influence technical and strategic direction across the company
Strategic mindset with the ability to balance long-term platform investments and short-term product needs
Expertise in model fine-tuning, prompt engineering, multi-agent orchestration, and AI evaluations
10+ years of software engineering experience with a strong focus on AI/ML systems
MS or BS in Computer Science (required)
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
Proven track record of launching customer-facing AI products using LLMs
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
