Connectly.ai
Staff AI engineer
San Francisco · Staff+
Sponsorship not specifiedDetected 141 days ago
PythonDistributed SystemsPostgreSQLDynamoDBAWSKafkaMachine LearningLLMsRAGAI OrchestrationExcelLeadershipCommunicationCollaboration
About the role
- 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.
- 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.
Responsibilities
- Architect, build, and launch production-grade AI systems that power customer-facing conversational experiences at scale.
- 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.
- We're committed to building a diverse, inclusive, and supportive workplace that is distributed around the world.
- We are seeking an accomplished and visionary Staff AI Engineer to lead Connectly's company-wide technical strategy for AI systems and infrastructure.
- Lead technical alignment across AI, infrastructure, and application engineering teams spanning Brazil, Bogotá, and San Francisco.
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.
- 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.
- If you are in doubt, we encourage you to apply!
Skills
- Passion for innovation and applying cutting-edge AI technologies to real-world customer challenges.
Compensation
- Competitive compensation and equity participation.
Benefits
- Competitive compensation and equity participation.
- Unlimited time off and flexible working hours.
- 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.
- Develop pipelines for model fine-tuning, prompt optimization, and continuous learning, ensuring high performance and reliability.
Company info
- We are a strong believer in passion, curiosity and willingness to learn on the job.
Equal opportunity
- equal opportunity employer.
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