Senior AI Engineer

Experience Required

• 8+ years preferred (manager emphasized a very senior resource).
• Must possess senior-level engineering maturity.
• Candidate may currently be a Senior AI Engineer, Senior Software Engineer, or Working Tech Lead.
• Looking for someone capable of operating as a Tech Lead while remaining hands-on with coding. 
  
  
  Must have: 

1. Google Cloud Platform (Google Cloud Platform) Experience
   1. Hands-on experience building and deploying solutions in Google Cloud Platform.
   2. Azure experience is acceptable in addition to Google Cloud Platform
2. LLMs, Generative AI & RAG
   1. Experience leveraging Gemini, Azure OpenAI, and other Large Language Models.
   2. Strong hands-on experience implementing Retrieval-Augmented Generation (RAG) solutions. 
3. Agent Framework Experience
   1. Direct experience with Google ADK, LangGraph, or similar agentic AI frameworks.
   2. Building AI agents/bots
4. Senior-Level, Hands-On Engineer
   1. 6+ years of experience (preferably 8+).

• Must be a "working tech lead" type of engineer who owns code and actively develops rather than just leading projects. 
  
  Top Must-Haves:
  •  Design and develop AI applications and intelligent agents on Google Cloud Platform.
  • Develop AI-powered bots and automation solutions.
  • Implement and maintain RAG (Retrieval Augmented Generation) solutions.
  • Leverage Gemini, Azure OpenAI, and other large language models.
  • Build solutions using agent frameworks such as Google ADK and LangGraph.
  • Perform hands-on coding and development activities.
  • Collaborate with technical leads and architects to deliver AI initiatives.
  • Participate in code ownership, architecture discussions, and solution design.
  • Grow into a technical leadership role while remaining highly hands-on

Must Have

• Google Cloud Platform (Google Cloud Platform) experience.
• AI/ML engineering experience.
• Google ADK framework experience.
• LangGraph experience.
• Experience leveraging LLMs.
• Gemini experience.
• Azure OpenAI experience.
• RAG implementation experience.
• Python development.
• React or Next.js.
• TypeScript.
• Strong software engineering background.
• Hands-on development experience building AI products. 
  
   

Nice to Have

• Experience leading development teams.
• Agentic AI development experience.
• Prior experience serving as a Tech Lead.
• Experience architecting enterprise AI solutions.
• Multi-cloud experience with Azure alongside Google Cloud Platform
  
   

What Will Make Someone Successful?

• Extensive hands-on AI development experience.
• Strong Google Cloud Platform expertise.
• Deep knowledge of LLMs, Gemini, Azure OpenAI, and RAG.
• Ability to own code and development efforts independently.
• Comfortable leading technical direction while still contributing code.
• Strong communication and collaboration skills.
• Ability to work effectively within the Covista PMO environment. 
  
   

Previous Companies / Background Targets

Target candidates from organizations actively building:

• Enterprise AI applications.
• Conversational AI solutions.
• Agentic AI platforms.
• Cloud-native AI products on Google Cloud Platform or Azure.
• LLM-based enterprise solutions. (Suggested based on stated technical requirements.)