Applied AI Engineer – Enterprise AI Solutions (Remote, Nearshore)

Website Bitovi

An exceptional app is essential to your success

Position: Applied AI Engineer – Enterprise Solutions
Company: Bitovi
Location: 100% Remote (Nearshore with 6+ hours EST overlap)
Type: Full-Time Consulting
Experience Level: Mid to Senior
Industry: Enterprise AI & Automation Consulting

Company Overview

Bitovi stands as a premier consulting partner specializing in enterprise web applications and intelligent automation solutions. We collaborate with industry-leading organizations to design, architect, and implement production-grade AI systems that drive operational excellence and digital transformation. Our commitment to building maintainable, scalable, and thoroughly documented solutions has established us as trusted advisors in the rapidly evolving AI landscape.

The Role: Enterprise AI Implementation Specialist

We’re seeking an accomplished Applied AI Engineer to lead the development of intelligent automation platforms and agentic AI solutions for our diverse enterprise clients. This consulting role combines technical expertise with client-facing responsibilities, requiring both deep AI implementation skills and the ability to guide strategic technical decisions.

Successful candidates will demonstrate proficiency in transforming AI concepts into robust, production-ready systems while maintaining Bitovi’s standards for code quality, testing, and documentation.

Core Responsibilities

  • Design and implement enterprise-grade intelligent automation systems and AI-driven workflows

  • Develop agentic AI solutions using modern frameworks and toolchains

  • Architect and optimize workflow automation systems using platforms like n8n and Rivet

  • Implement advanced RAG architectures and vector database integrations

  • Collaborate directly with client stakeholders to translate business requirements into technical solutions

  • Lead technical teams while contributing hands-on to project delivery

  • Establish and enforce best practices for testing, documentation, and system observability

Technical Requirements

  • Professional experience developing automation tools at enterprise scale

  • Strong proficiency in TypeScript or Python with practical LangChain implementation

  • Hands-on experience with workflow automation platforms (n8n, Rivet, or equivalent)

  • Demonstrable expertise with multiple AI models and multimodal content processing

  • Advanced RAG implementation and vector database management

  • Practical application of tool calling and sophisticated model features

  • Client-facing experience with strong stakeholder communication skills

Additional Valued Qualifications

  • Cloud deployment expertise (AWS, Docker, Kubernetes)

  • CI/CD pipeline development (GitHub Actions, TravisCI, CodeBuild)

  • System observability implementation (logging, metrics, tracing)

  • Automated testing frameworks and performance benchmarking

  • Model fine-tuning and custom model development

  • Production deployment of open-source AI models

  • Reinforcement learning feedback system design

Professional Attributes

  • Passion for AI technology and practical application development

  • Autonomous work ethic with strong self-motivation

  • Continuous learning mindset with adaptability to new technologies

  • Collaborative team player accepting of constructive feedback

  • Complex problem-solving capabilities with systematic approach

  • Professional consulting demeanor and client relationship management

Career Development Opportunities

Beyond client project work, Bitovi encourages professional growth through:

  • Conference speaking engagements and industry presentations

  • Technical training development and delivery

  • Community meetup organization and leadership

  • Open-source project maintenance and contribution

  • Technical content creation and article publication

Location & Scheduling

This position requires minimum 6-hour overlap with Eastern Time Zone (EST). We prioritize nearshore candidates who can maintain effective collaboration with our team and clients.

Application Process

Qualified candidates should submit a resume and LinkedIn profile along with detailed responses to application questions. We thoroughly review all applications and value thoughtful, personalized responses.

*Note: We do not accept recruiter submissions. All employment offers are contingent upon successful background verification.


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Tagged as: AI Automation Engineer, Applied AI Engineer, Enterprise AI Consultant, Python LangChain, RAG Implementation, Remote AI Jobs, TypeScript AI

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