4 months ago
Boston, MA, USA +3 moreSenior
Responsibilities
- Research and apply AI agents, LLMs, RAG, embeddings, and supervised or unsupervised learning to build product capabilities.
- Translate business problems into AI solutions that improve workflows, accelerate insights, and deliver measurable value.
- Own the architecture and integration of agentic chat across the Vendelux platform.
- Design systems that enable AI agents to reason, take action, and interact with internal data, external tools, and user workflows.
- Architect scalable multi-tenant AI infrastructure meeting performance, latency, reliability, and cost requirements.
- Own observability, evaluation frameworks, and guardrails for production AI features.
- Collaborate with product, data science, and application engineering teams and advise leadership on the AI roadmap.
Requirements
- 4+ years of professional software engineering or data engineering experience, including at least 3+ years building AI/ML-driven products.
- Strong programming skills in Python and proficiency in SQL.
- Experience with modern AI frameworks such as Hugging Face and LangChain.
- Experience designing data pipelines using Airflow, Dagster, or an equivalent tool.
- Solid understanding of cloud infrastructure including AWS, GCP, or Azure.
- Production experience applying LLMs and generative AI, including prompt engineering, RAG, and LLM deployment.
- Strong understanding of data science and machine learning techniques and the ability to balance research and engineering tradeoffs.
- Track record of shipping user-facing features with measurable impact and translating business problems into valuable data solutions.
- Excellent written and verbal communication skills and ability to collaborate across data, engineering, and product teams.
- Startup experience is preferred.
- Candidates from non-traditional backgrounds are encouraged to apply even if they do not meet every listed requirement.
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