Agentic AI Engineer, Junior

🕒 July 29

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Logo of Aline

Aline

201 - 500 employees

🏥 Healthcare

☁️ SaaS

🤝 B2B

Healthcare • SaaS • B2B

Aline is a software company that provides a connected, cloud-based platform for senior living operators. Aline combines CRM and marketing tools, resident care and clinical workflows (including eMAR and care plans), dining and point-of-sale solutions, and financial systems (leasing, billing, payments, accounting) to streamline admissions, daily care, operations, and revenue management across assisted living, independent living, memory care, and skilled nursing communities. The platform emphasizes integrations (100+ partners), workflow automation, and analytics (Aline Intelligence) to reduce manual handoffs and improve outcomes for operators, caregivers, residents, and families. Aline serves thousands of senior living communities and positions itself as a B2B SaaS provider focused on healthcare operations for the senior living market.

📋 Description

• Build and deploy agentic systems for enterprise workflows — design and implement AI agents (and multi-agent systems) that reason and retrieve data across complex business processes and take action in enterprise systems. • Design and ship multi-step agentic systems — planner/executor, tool-using, multi-agent, and human-in-the-loop — for use cases including onboarding, underwriting, case review, and continuous monitoring. • Design orchestration, reasoning, and workflows — architect how agents plan, use tools, and coordinate across complex, multi-step processes. • Own full-stack implementation and integrations — build across LLMs, APIs, backend systems, and lightweight UIs to deliver complete, working solutions. • Ensure reliability, safety, and production readiness — implement guardrails, validation logic, and fallback mechanisms to ensure consistent and trustworthy behavior in production.

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, AI/ML, or related field, or equivalent practical experience through projects, research, internships, or professional work. • 1–5+ years in software engineering (full-stack or backend), or a strong recent graduate with demonstrable project or internship experience at equivalent depth. • Familiarity with LLMs or AI-based systems. • Internship or research experience in a production AI or data-intensive environment is a strong plus. • Proficiency in Python; comfortable with NumPy, Pandas, and Scikit-learn. • Hands-on experience with at least one LLM framework: LangGraph, LangChain, Claude Agent SDK, or OpenAI SDK. • Understanding of RAG architecture: embedding models, vector databases, hybrid search, and reranking. • Familiarity with prompt engineering best practices and awareness of LLM failure modes (hallucination, injection, drift). • Working knowledge of SQL and relational databases (PostgreSQL, MySQL, or similar). • Familiarity with Git version control and Agile/Scrum practices.

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development

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