Senior Lead AI Software Engineer (Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Lead AI Software Engineer (Python): Building and scaling internal platforms and AI-powered automation systems with an accent on agentic workflows, RAG pipelines, and distributed system architecture. Focus on driving technical strategy, mentoring senior engineering talent, and ensuring operational excellence across interconnected internal platforms.
Location: Must be based in or able to relocate to Boston, Massachusetts (Hybrid)
Company
is a fast-growing SaaS company that empowers creators to own their destiny by making first-party data accessible and actionable for personalized ecommerce experiences.
What you will do
- Drive high-impact technical roadmaps for internal platforms, APIs, and AI-powered workflows.
- Lead the end-to-end lifecycle of large, multi-team initiatives from discovery to production.
- Set the standard for AI-native engineering, including RAG pipelines and agentic workflows.
- Mentor and coach emerging senior and lead engineers through design reviews and pairing.
- Own operational standards including reliability, scalability, security, and cost optimization.
- Influence cross-functional partners to align technical strategy with business outcomes.
Requirements
- 12+ years of experience in software development with deep knowledge of computer science fundamentals.
- Deep expertise in internal platforms, SaaS systems, or AI-enabled systems.
- Proven track record of leading large, multi-team programs and making high-judgment architectural calls.
- Practical experience building or integrating production AI systems using LLM APIs and SDKs.
- Must be based in or able to relocate to Boston, MA for a hybrid working model.
- Strong communication skills and ability to influence technical and non-technical audiences.
Nice to have
- Experience building developer platforms or operations automation.
- Deep experience with AWS, Terraform, and Kubernetes.
- Experience partnering with go-to-market or operations leaders to translate workflows into tools.
Culture & Benefits
- Commitment to inclusive teams and diverse perspectives.
- Comprehensive health, welfare, and wellbeing benefits.
- Support for work authorization and relocation.
- Focus on continuous learning and collaborative engineering culture.
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