AI Engineer
- Nityo InfoTech
10 Hours Ago
NA
C2C
New York-NY
7-10 Years
Required Skills: Artificial Intelligence, Claude Code
Job Description
The AI Engineer needs to have a multi-disciplined skill profile (engineering, data, infrastructure) and experience designing and governing agentic systems, leading domain-level AI architecture, setting technical standards for AI-embedded platforms, or providing principal-level technical advisory to delivery teams and clients are eligible to apply. The selected candidate will be expected to work on some of the following activities:
- Build AI agent/skills execution environments
- Create validation pipelines
- Implement policy enforcement
- Configure security/compliance gates
- Create feedback loops for self-healing AI workflows
- Manage benchmarks and golden datasets
- Provide auditability and observability
- Ensure reliability of the overall AI skills ecosystem
• Built and hardened harnesses in Claude Code
• Artificial Intelligence , Commercial Gen AI
• Experience with legacy, Brownfield, and regulatory projects
• Required pure plan AI skills to build and support the Harness Hardening and create specific agents
• Expertise in:
o End-to-end conversational-to-production workflows
o Automation of testing and solutions
o Creating solution design and technical design documents
o Building harness skills and templates
o Greenfield/Brownfield/SaaS conversion programs
- Build AI agent/skills execution environments
- Create validation pipelines
- Implement policy enforcement
- Configure security/compliance gates
- Create feedback loops for self-healing AI workflows
- Manage benchmarks and golden datasets
- Provide auditability and observability
- Ensure reliability of the overall AI skills ecosystem
• Built and hardened harnesses in Claude Code
• Artificial Intelligence , Commercial Gen AI
• Experience with legacy, Brownfield, and regulatory projects
• Required pure plan AI skills to build and support the Harness Hardening and create specific agents
• Expertise in:
o End-to-end conversational-to-production workflows
o Automation of testing and solutions
o Creating solution design and technical design documents
o Building harness skills and templates
o Greenfield/Brownfield/SaaS conversion programs
