** NO Visa Sponsorships or Transfers Available (including OPT) **
📋Job Overview
Devonshire Recruiting & Consulting Partners is seeking to identify an Associate-level AI Automation Engineer to support the development of intelligent automation capabilities across the organization of a leading tech company. This newly created position is well-suited for an early-career technologist with strong foundational skills and a clear understanding of how modern AI tools can be applied to real-world business workflows.
The role offers exposure to emerging AI frameworks, automation platforms, and agent-based architectures, working closely with consultants and internal stakeholders to design, prototype, and deploy scalable automation solutions that enhance operational efficiency and innovation.
⚡Key Responsibilities
Design and implement AI-enabled automation workflows and intelligent agents to streamline business processes.
Integrate large language models and AI services (commercial and open-source) with enterprise systems, including APIs, databases, CRMs, and collaboration tools.
Support rapid prototyping efforts and assist in transitioning proofs of concept into production-ready solutions.
Test, debug, and optimize automation scripts and AI agents for reliability and performance.
Monitor developments in AI tooling, frameworks, and platforms to identify opportunities for innovation.
Create and maintain technical documentation to support knowledge sharing and long-term maintainability.
🎓Required Qualifications
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical discipline.
1–2 years of relevant professional experience in automation, software development, or applied AI.
Proficient in Python, including experience with scripting, APIs, or workflow automation.
Working knowledge of AI concepts such as large language models, prompt design, and natural language processing.
Familiarity with agent-based or orchestration frameworks (e.g., LangChain, LangGraph, Pydantic AI, CrewAI, or similar).
Exposure to retrieval-augmented generation (RAG) patterns and AI tool integration concepts.
Experience with workflow or ETL tools, either open-source (e.g., Airflow, Prefect, DBT) or platform-based (e.g., Databricks, GCP Workflows, Azure Data Factory).
Basic understanding of cloud environments (AWS, Azure, or GCP) and version control systems such as Git.
Strong analytical mindset, curiosity, and ability to learn new technologies quickly.
Solid communication skills with the ability to collaborate effectively across technical and non-technical teams.
