seeking a Senior Engineer with advanced skills in Generative AI and Data Engineering to join our Production Management tooling team. Our mission is to transform how critical platforms are supported by embedding AI-first solutions into event management and system reliability. We are looking for highly motivated, creative problem solvers who are excited to design and implement innovative AI tools that address complex business challenges at scale.
Key Responsibilities:
- Mentors junior AI Engineers and cross-functional team of colleagues, fostering a culture of excellence and innovation
- Provides guidance and support to junior engineers, fostering professional growth and development within the team
- Directs the design, development, testing, and deployment of applications and systems
- Oversees a variety of tasks, platforms, and technologies to meet evolving requirements
- Design and develop Generative AI applications, including RAG pipelines, agentic workflows, and Model Context Protocol (MCP) integrations.
- Collaborate with data owners to build data pipelines, feature engineering processes, and context enrichment strategies that optimize AI-enabled solutions.
- Prototype and deliver production-ready tools leveraging LLMs, embeddings, vector databases, and orchestration frameworks.
- Translate business and operational challenges into AI-first solutions with a product mindset, ensuring they deliver measurable improvements in system reliability, incident response, and user experience.
- Ensure production-ready deployments include appropriate logging, monitoring, and runbooks, maintaining operational excellence alongside innovation.
- Partner with multiple teams across the enterprise to identify, prioritize, and deliver product-driven GenAI opportunities that improve platforms, tooling, and processes.
- Monitors AI performance and implements improvements to optimize functionality
- Analyzes technical challenges and provides innovative solutions to enhance quality and efficiency
- Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives
Minimum Qualifications:
- Experience developing agentic AI applications and integrating multi-step reasoning into enterprise workflows.
- Strong grounding in data science techniques, including experimentation, model evaluation, and applied statistical methods.
- Exposure to observability and monitoring tools such as Splunk, Grafana, Dynatrace, and ELK.
- Hands-on experience with LLM frameworks (LangChain, LangGraph, or similar) and RAG architectures.
- Strong programming skills in Python (preferred) and/or Go, with proven ability to build both prototypes and production applications.
- Solid understanding of data engineering principles, including ETL pipelines, structured/unstructured data management, and vector databases.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
- Bachelor’s degree in Computer Science, Computer Engineering, Data Science, and/or comparable experience; advanced degree preferred
Preferred Qualifications:
- 5 – 7 years technical engineering and development experience or a related job
- Experience developing agentic AI applications and integrating multi-step reasoning into enterprise workflows.
- Experience in automation testing and documentation (i.e. automated, functional, and performance)
- Strong grounding in data science techniques, including experimentation, model evaluation, and applied statistical methods.
- Familiarity with APIs, microservices, and web technologies (React, NodeJS, SQL) to deliver end-to-end solutions.
hackajob is partnering with American Express to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
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