Remotery

Agentic AI Engineer, Junior

Posted Jul 29

This is a fully remote position, open to applicants in Alabama, +5 more states.

πŸ“‹ Description

β€’ Develop and implement agentic systems for enterprise workflows β€” designing and deploying AI agents (and multi-agent systems) that interpret data and execute actions across intricate business processes within enterprise systems.

β€’ Create and launch multi-step agentic systems β€” including planner/executor, tool-using, multi-agent, and human-in-the-loop designs β€” for applications such as onboarding, underwriting, case review, and ongoing monitoring.

β€’ Design orchestration, reasoning, and workflows β€” structuring how agents plan, utilize tools, and collaborate throughout complex, multi-step processes.

β€’ Manage full-stack implementations and integrations β€” constructing solutions that encompass LLMs, APIs, backend infrastructures, and lightweight user interfaces to deliver comprehensive, functional outcomes.

β€’ Guarantee reliability, safety, and readiness for production β€” establishing guardrails, validation logic, and fallback mechanisms to ensure consistent and trustworthy operations in a production environment.


⛳️ Requirements

β€’ Bachelor's degree in Computer Science, Data Science, AI/ML, or a related field, or equivalent hands-on experience through projects, research, internships, or professional roles.

β€’ 1–5+ years in software engineering (full-stack or backend), or a strong recent graduate with substantial project or internship experience at a similar level.

β€’ Familiarity with LLMs or AI-driven systems.

β€’ Internship or research experience in a production AI or data-intensive setting is highly advantageous.

β€’ Proficient in Python; comfortable with NumPy, Pandas, and Scikit-learn.

β€’ Practical experience with at least one LLM framework: LangGraph, LangChain, Claude Agent SDK, or OpenAI SDK.

β€’ Understanding of RAG architecture: embedding models, vector databases, hybrid search, and reranking techniques.

β€’ Knowledge of prompt engineering best practices and an awareness of LLM failure modes (hallucination, injection, drift).

β€’ Familiarity with SQL and relational databases (PostgreSQL, MySQL, or similar).

β€’ Understanding of Git version control and Agile/Scrum methodologies.


🏝️ Benefits

β€’ Health insurance

β€’ Flexible work arrangements

β€’ Professional development

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