AI Engineer

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

📋 Description

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

• Develop and manage AI capabilities across an enterprise platform.

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

• Transition AI systems from prototype phase to monitored production environments.

• Conduct rigorous evaluations of AI behavior.

• Collaborate with product and engineering teams to assess when AI is the appropriate solution.

• Transform experiments into useful, reliable, measurable, safe, and cost-effective production features.

• Integrate evaluation discipline into the delivery process.

• Assist client teams in making informed decisions about where AI delivers genuine value.

• Travel as required to meet client needs.

⛳️ Requirements

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

• Demonstrated experience in designing or implementing agent runtime, orchestration, model routing, tool/function calling, or AI workflow patterns.

• Strong understanding of RAG, grounding, retrieval quality, prompt design, context management, and evaluation methodologies.

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

• Ability to prioritize cost, latency, reliability, and safety as top engineering constraints.

• Experience in establishing guardrails and controls for AI systems, including managing untrusted retrieved content, tool output risk, and failure modes.

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

• Strong software engineering capabilities and ability to work collaboratively with backend, platform, product, and security teams.

• Excellent communication and collaboration skills suited for client-facing consulting roles.

• Pragmatic mindset with the capacity to prioritize business value and deliver useful AI capabilities efficiently and responsibly.

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

• Knowledge of MCP, A2A, multi-agent orchestration, AI tool calling, or agent evaluation.

• Experience with LLM-as-judge methodologies calibrated against human evaluations.

• Background in semantic knowledge management, ontologies, knowledge graphs, or semantic layers.

• Proficient in AI development lifecycle practices encompassing data, build, evaluation, deployment, monitoring, and continuous improvement.

• Experience utilizing AI-assisted development tools while upholding rigorous review, testing, and safety protocols.

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) plan with company match.

• Annual training reimbursement.

• Paid time off.

• Paid holidays.

• Additional perks designed to enhance your well-being and long-term success.