What are the responsibilities and job description for the Senior AI Engineer position at TEK Inspirations LLC?
Experience Required
Target Candidates From Organizations Actively Building
- 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.
- Google Cloud Platform (Google Cloud Platform) Experience
- Hands-on experience building and deploying solutions in Google Cloud Platform.
- Azure experience is acceptable in addition to Google Cloud Platform
- LLMs, Generative AI & RAG
- Experience leveraging Gemini, Azure OpenAI, and other Large Language Models.
- Strong hands-on experience implementing Retrieval-Augmented Generation (RAG) solutions.
- Agent Framework Experience
- Direct experience with Google ADK, LangGraph, or similar agentic AI frameworks.
- Building AI agents/bots
- Senior-Level, Hands-On Engineer
- 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.
- 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
- 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.
- 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
- 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.
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.)