AeroVironment is looking to accelerate growth and automate operations by designing, building, deploying, and maintaining proprietary AI solutions, focusing on Generative AI initiatives.
Requirements
- Proven expertise in end-to-end solution design, including architecture, API integrations, and data pipeline development across cloud environments (AWS, Azure, or GCP).
- 8+ years of experience in full-stack development and systems integration, applying design patterns, DevOps best practices, and API frameworks.
- 8+ years of hands-on experience with relational databases (PostgreSQL preferred), including optimization, fault-tolerance, and secure data access.
- Proficiency in Python and modern AI development frameworks such as LangChain, LiteLLM, and n8n.
- Experience with open-source GenAI front ends like OpenWebUI
- Experience in a GenAI Center of Excellence (CoE)
- Familiarity with Oracle Fusion, Workday, or Salesforce
Responsibilities
- Collaborating with teams to design, build, deploy, and scale Generative AI solutions.
- Own the full-stack development, enhancement, and scaling of AV GPT, our enterprise AI platform built on frameworks like OpenWebUI, LiteLLM, and PostgreSQL.
- Design, build, and deploy autonomous 'Agentic Automations' using n8n to automate complex, multi-system business processes for functions like Finance, Operations, SDLC, DevOps etc.
- Support and scale the Roo Code platform to enhance developer velocity, with a goal of accelerating the SDLC for over 600 engineers.
- Develop and maintain robust API integrations (using our MCP connectivity layer) to connect GenAI platforms with critical enterprise systems, including Oracle Fusion, Workday, Salesforce, Jira, and Confluence.
- Implement, manage, and optimize advanced Retrieval-Augmented Generation (RAG) pipelines, including embedding strategies and vector database management.
- Act as a core technical expert within the CoE, helping to establish best practices, govern AI use, and research new tools and techniques to maintain our competitive advantage.
Other
- Bachelor’s degree in the field of Computer Science, Computer Engineering, Software Engineering or related field is required or equivalent combination of education, training, and experience
- 12+ years of progressive experience designing, developing, and deploying advanced software solutions, including at least 3–5 years of hands-on experience in Generative AI or machine learning systems.
- Advanced degree is preferred
- U.S. Citizen, U.S. Permanent Resident (Green Card holder), asylee/refugee status as defined by 8 U.S.C. 1324b(a)(3) or a person approved for an export license from the appropriate governing agency.
- Ability to work in an office environment (Constant)
