Description

We are seeking an innovative and hands-on AI Engineer to join our Data Science team within Business Intelligence. In this hybrid role, you will design, build, and scale AI-driven systems that improve operational efficiency, automate workflows, and enhance decision-making across the organization.

You’ll partner closely with Analytics, Business Intelligence, Operations, Finance, and other business teams to bring AI solutions from concept to production. This position is ideal for someone who combines strong software engineering fundamentals with practical AI/ML experience and thrives in a fast-paced, collaborative environment.

What You’ll Do

Design and deploy scalable AI/ML and LLM-powered applications that drive measurable business impact
Build and maintain data pipelines, vector databases, and AI infrastructure for production systems
Develop backend APIs and integrations using Python and SQL to embed AI capabilities into business processes
Manage the AI lifecycle including deployment, monitoring, optimization, and retraining
Implement evaluation frameworks and AI safety guardrails to ensure reliable and responsible AI usage

What to Expect in This Role

A highly hands-on engineering role focused on building production-ready AI solutions
Collaboration with cross-functional teams including Analytics, Operations, Finance, and Business Intelligence
Opportunities to work with emerging technologies including RAG pipelines, agentic workflows, and Voice AI
A fast-paced environment where innovation, ownership, and problem-solving are highly valued

You’ll Be a Great Fit If You

Strong software engineering foundation with experience building scalable backend systems
Experience working with AI/ML frameworks such as PyTorch, TensorFlow, or scikit-learn
Familiarity with LLM orchestration tools like LangChain or LlamaIndex
Comfortable translating technical concepts into business-friendly solutions
Able to manage multiple priorities and proactively identify technical risks

What You Bring – Required

Bachelor’s or Master’s degree in computer science, AI, Software Engineering, or a related field
2+ years of experience building and deploying AI/ML or LLM applications in production environments
Strong proficiency in Python and SQL
Experience managing data pipelines and MLOps tooling

What You Bring – Nice to Have

Experience with Azure, AWS, or GCP along with Docker and Kubernetes
Familiarity with Voice AI, Speech-to-Text (STT), and Text-to-Speech (TTS) technologies
Experience working in Financial Services or other regulated industries

Success Looks Like (6–12 Months)

Successfully deploys production-ready AI solutions that improve operational efficiency and reduce manual effort
Builds scalable and reliable AI pipelines, APIs, and automation workflows with minimal oversight
Becomes a trusted technical partner to Business Intelligence, Operations, Finance, and other business teams

Why Goal Solutions

Competitive salary + bonus eligibility
401(k) with 4% company match
Medical, dental, vision, and HSA ($1,700 annual contribution)
14 paid holidays (including your birthday)
Paid parental leave, tuition reimbursement, and long-term incentives?

Apply

Apply if you’re passionate about building intelligent systems, solving complex problems, and turning AI innovation into real business impact.

Please Note: To ensure a fair and consistent hiring process, candidates should not contact hiring managers or other Goal Solutions employees directly prior to being invited to interview.

Learn more about this Employer on their Career Site