[Remote] AI Engineer
Note: The job is a remote job and is open to candidates in USA. Trace3 is a Transformative IT Authority providing technology solutions and consulting services to organizations across the United States. The AI Engineer will design, build, and deploy AI-powered applications, agents, copilots, and automation solutions, primarily using Azure, LLMs, RAG architectures, and modern orchestration frameworks. The role also integrates AI with enterprise platforms, ensures responsible and secure deployment, and collaborates with business stakeholders to deliver scalable production systems.
Responsibilities
- Design and build AI-powered applications, including agents, copilots, and intelligent workflows
- Develop solutions using LLMs, RAG architectures, and orchestration frameworks
- Build reusable components and scalable AI patterns
- Design agent behavior that adapts to user‑defined preferences, rules, and governance constraints
- Integrate AI solutions with enterprise platforms (NetSuite, ServiceNow, Microsoft 365, etc.)
- Develop APIs, connectors, and event-driven workflows
- Embed AI capabilities into business processes to drive automation and efficiency
- Ensure AI agents and applications comply with Trace3 governance, security, and data protection standards
- Design systems that prevent sensitive or restricted data from being exposed or misused
- Partner with AI leadership to evaluate risks, controls, and guardrails for new AI capabilities before deployment
- Balance speed of delivery with safe, responsible AI practices in an enterprise environment
- Design and refine prompts for consistency, accuracy, and reliability
- Evaluate outputs and improve performance through iteration and testing
- Implement guardrails, observability, and responsible AI practices
- Build and deploy solutions in Azure (preferred) or other cloud environments
- Ensure scalability, performance, and cost optimization
- Monitor, troubleshoot, and maintain production AI systems
- Partner with AI leadership on roadmap execution and prioritization
- Work with business stakeholders to translate requirements into solutions
- Contribute to AI standards, reusable frameworks, and best practices
Skills
- Bachelor's degree in Engineering, Computer Science, or related field (or equivalent experience) required
- Minimum 4 years of experience building AI-powered applications or systems
- Strong programming skills
- Experience with APIs, microservices, and system integrations
- Understanding of LLMs, prompt engineering, and RAG concepts
- Experience with cloud platforms
- Experience building AI agents, copilots, or automation solutions
- Familiarity with vector databases, embeddings, and search architectures
- Experience integrating with enterprise SaaS platforms
- Understanding of security, governance, and responsible AI practices
- Strong problem-solving and analytical skills with attention to detail
- Ability to collaborate effectively within teams and communicate technical concepts clearly
- Ability to operate independently, with minimal supervision
- Comfortable managing multiple and changing priorities, and meeting deadlines in an entrepreneurial environment
- Self-motivated with a strong desire to learn and grow in technical expertise
- Python preferred
- Azure preferred, AWS/GCP acceptable
- Azure OpenAI, Semantic Kernel, LangChain, or similar frameworks
Benefits
- Comprehensive medical, dental and vision plans for you and your dependents
- 401(k) Retirement Plan with Employer Match
- 529 College Savings Plan
- Health Savings Account
- Life Insurance
- Long-Term Disability
- Training and development programs
- Major offices stocked with snacks and beverages
- Collaborative and cool culture
- Work-life balance and generous paid time off
Company Overview
Company H1B Sponsorship