EI
Senior AI engineer
Expert In Recruitment Solutions
🇺🇸 United States
On-site
Senior
4 weeks ago
- AI
- GCP
- Azure
- Machine Learning
- RAG
- Gemini
- Azure OpenAI
- Large Language Models
- ADK
- LangGraph
- AI/ML
- Python
- React.js
- Next.js
- TypeScript
4 weeks ago
Position title: senior AI engineer
Location: Either Columbia, MD or Lislie, IL
Onsite: 4 days a week
Contract: 6-9 months to perm (they want to definitely convert)
Relo: yes but must be onsite from day 1
Interview process: 2 video interviews (1 is a panel for 30-45 minutes) then second round is 30 minutes with manager
Must have:
- Google Cloud Platform (GCP) Experience
- Hands-on experience building and deploying solutions in GCP.
- Azure experience is acceptable in addition to GCP
- 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.
Position details
- New project initiative beginning next week. Manager is looking to add an experienced senior-level AI engineer who can immediately contribute to development efforts and eventually grow into a technical leadership role. The position is expected to support a multi-year initiative
- 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
- Google Cloud Platform (GCP) 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 GCP
- 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.
- Extensive hands-on AI development experience.
- Strong GCP 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 GCP or Azure.
- LLM-based enterprise solutions. (Suggested based on stated technical requirements.)
Senior AI engineer · Expert In Recruitment Solutions