AI Engineer

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

📋 Description

• Design, create, and implement AI-driven tools, agents, and automation throughout the organization.

• Integrate LLMs and AI applications with internal systems, APIs, and enterprise tools.

• Construct and sustain infrastructure, services, and integrations that support dependable AI applications.

• Collaborate with stakeholders to pinpoint AI opportunities and convert business requirements into technical solutions.

• Develop reusable components, frameworks, and tools for AI workflows.

• Establish access controls, monitoring, observability, and operational safeguards.

• Monitor model performance, usage, and expenses while enhancing efficiency, quality, and business results.

• Assess emerging AI technologies, models, and frameworks for practical implementation within the organization.

• Deliver solutions that minimize manual tasks, expedite execution, and facilitate scalable AI adoption.

• Manage projects from inception to production and shape the internal AI strategy.

⛳️ Requirements

• Strong software engineering expertise with a background in building and maintaining production applications, services, or internal platforms.

• Practical experience in developing applications utilizing LLMs, such as OpenAI, Anthropic Claude, or open-source models.

• Proficiency in Python, TypeScript, or similar programming languages.

• Experience in integrating APIs and developing backend services.

• Familiarity with constructing AI agents, automating workflows, or applications using LLM orchestration frameworks.

• Knowledge of retrieval augmented generation (RAG), tool calling, structured outputs, prompt engineering, and contemporary AI application patterns.

• Experience in integrating applications with enterprise tools, internal systems, and third-party APIs.

• Understanding of cloud infrastructure, deployment practices, monitoring, and reliability in production environments.

• Ability to convert ambiguous business challenges into actionable technical solutions.

• Capability to work autonomously, take ownership of projects, and collaborate with both technical and non-technical stakeholders.

• Genuine enthusiasm for AI alongside a propensity for experimentation, execution, and measurable impact.

• Nice to have: experience with internal AI platforms or enterprise AI automation solutions.

• Nice to have: familiarity with AI coding tools, agent frameworks, and orchestration platforms.

• Nice to have: experience with LangChain, LangGraph, Claude Agent SDK, or similar frameworks.

• Nice to have: experience with MCP, enterprise connectors, and AI tool integrations.

• Nice to have: familiarity with LLM observability, evaluation frameworks, cost optimization, and usage analytics.

• Nice to have: experience implementing security, governance, and access controls for enterprise AI applications.

• Nice to have: experience in a rapidly growing technology company.

🏝️ Benefits

• Competitive salary and equity.

• Comprehensive insurance (medical/dental/vision): base plan 100% covered.

• Flexible working hours.

• Supportive remote work environment with a long-standing tradition.

• Unlimited vacation policy.

• 401(k) retirement plan.

• Wellness stipend.

• Weekly meal stipend.

• Learning & Development stipend.

• Stipend for remote/WFH setup.