Kustomer is seeking a Software Engineer for their AI Platform, focusing on architecting and building the next generation of their customer service platform.
The role involves working at the intersection of AI systems engineering, distributed computing, and semantic data processing.
Responsibilities include designing and implementing agentic systems, building autonomous AI agents, developing semantic data pipelines, and architecting tool integration ecosystems.
The engineer will implement distributed AI workflows, build observability frameworks, design machine-first APIs, and apply reinforcement learning techniques.
Collaboration across technical domains is essential to translate AI platform requirements into production-ready capabilities.
The ideal candidate should have a passion for technology, particularly in AI and automation, and a desire to contribute to innovative solutions.
Requirements:
Candidates must have 7+ years of software engineering experience, with at least 3 years focused on AI/ML applications and data-intensive systems.
Expertise in AI/ML frameworks is required, including experience with LLMs, transformer architectures, and agent orchestration platforms.
Experience with foundational model providers such as OpenAI, Anthropic, and AWS Bedrock for production AI applications is necessary.
A strong background in data engineering, including expertise in vector databases, semantic search, and real-time data processing, is essential.
Candidates should have distributed systems expertise, including knowledge of message queues, event-driven architectures, and cloud-native computing.
Applied ML/NLP experience is required, with hands-on work in information retrieval and natural language understanding.
Proficiency in programming languages such as TypeScript/Node.js and Go is preferred, along with Python experience for AI/ML modeling.
Strong database and big data expertise across multiple paradigms is necessary.
Experience with production AI systems, including model deployment and performance optimization, is required.
Understanding of agentic system principles, particularly autonomy and multi-agent collaboration, is essential.
Cloud platform expertise, particularly with AWS services for AI/ML workloads, is required.
Benefits:
Kustomer offers competitive salaries and stock options to its employees.
In the U.S., the company provides 100% healthcare coverage, a 401K plan, WiFi and mobile reimbursement, and a generous vacation policy.
In the UK, additional benefits include a pension plan and supplemental health insurance.
Kustomer is committed to diversity and inclusion, creating an environment where all individuals can thrive and feel a sense of belonging.
