AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with an external software development organization as a member of Inviso’s delivery team.

• Develop and manage AI capabilities within an enterprise platform.

• Execute agent runtimes, model routing, RAG, tool/function calling, guardrails, evaluation, monitoring, cost management, latency optimization, and quality controls for production.

• Transition AI capabilities from prototype stages to monitored production systems.

• Conduct rigorous evaluations of AI behavior.

• Work alongside product and engineering teams to assess when AI is a viable solution.

• Transform experiments into features suitable for production.

• Incorporate evaluation discipline into the delivery workflow.

• Assist client teams in making data-driven decisions regarding the genuine value of AI.

⛳️ Requirements

• Proven experience delivering software powered by LLMs, ML models, RAG systems, or agentic workflows to actual production users.

• Background in designing or implementing agent runtimes, orchestration, model routing, tool/function calling, or patterns of AI workflows.

• In-depth knowledge of RAG, grounding, retrieval quality, prompt design, context management, and evaluation methodologies.

• Experience in creating evaluation harnesses, golden sets, regression checks, quality gates, or measurable frameworks for AI performance.

• Capability to prioritize cost, latency, reliability, and safety as essential engineering considerations.

• Experience in establishing guardrails and controls for AI systems, addressing untrusted retrieved content, tool output risks, and potential failure modes.

• Expertise in monitoring AI behavior in production and enhancing systems based on empirical evidence.

• Strong software engineering proficiency.

• Ability to collaborate effectively with backend, platform, product, and security teams.

• Excellent communication and teamwork skills for consulting in client-facing environments.

• Practical mindset oriented towards business value and responsible delivery.

• Familiarity with Claude, GPT, Azure OpenAI, open-source models, model routing, fine-tuning, distillation, or small/edge models.

• Experience with MCP, A2A, multi-agent orchestration, AI tool calling, or agent evaluation.

• Knowledge of LLM-as-judge methods calibrated against human evaluations.

• Experience with semantic knowledge management, ontologies, knowledge graphs, or semantic layers.

• Familiarity with AI development lifecycle practices including data, build, evaluation, deployment, monitoring, and continuous improvement.

• Proficient in utilizing AI-assisted development tools while upholding rigorous review, testing, and safety standards.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• 401(k) plan with employer match

• Annual training reimbursement

• Paid time off

• Paid holidays

• Additional perks designed to support employee well-being and long-term success