Senior AI Engineer — LLM Pipelines & Autonomous Agents

Betsson Group; Town of Malta (NY); On-site; USD 104,000 - 151,000; Full time

Job summary

Betsson Group is seeking a Senior AI Engineer to lead the design, build and deployment of AI and agentic solutions within our Data CoE. You will own end-to-end AI initiatives, from architecture to production, influencing how AI is adopted across Betsson’s iGaming platforms.

You will work with LangChain and related frameworks, drive MLOps best practices, and mentor other engineers while collaborating with stakeholders to translate business needs into scalable, high-impact AI systems.

Qualifications

• BSc/MSc in CS, AI/ML, Data Science, or related field.
• 3+ years industry experience designing, building and deploying Generative AI solutions.
• Strong proficiency in Python.
• Hands-on experience with agentic frameworks (LangChain, LangGraph, Strands or equivalent).
• Solid foundations in deep learning and foundation models.
• Experience integrating and orchestrating LLM-based pipelines end-to-end.
• Ability to lead technical discussions, mentor junior/mid developers, and deliver internal knowledge sessions.
• Familiarity with LLMOps (CI/CD pipelines, model hosting, evaluation, production monitoring).
• Good knowledge of RAG pipelines.

Responsibilities

• Design, build and deploy LLM-powered pipelines and autonomous agents.
• Collaborate with stakeholders to scope and deliver AI solutions.
• Mentor developers and share knowledge across the team.
• Advance MLOps practices and production-grade AI at scale.

Skills

Python

Mentoring

Technical leadership

LLM pipelines

Education

BSc/MSc in CS, AI/ML, Data Science

Tools

LangChain

LangGraph

Strands

AWS Bedrock

Job description

Betsson Group is seeking a Senior AI Engineer to lead the design, build and deployment of AI and agentic solutions within our Data CoE. You will own end-to-end AI initiatives, from architecture to production, influencing how AI is adopted across Betsson’s iGaming platforms.

You will work with LangChain and related frameworks, drive MLOps best practices, and mentor other engineers while collaborating with stakeholders to translate business needs into scalable, high-impact AI systems.