AI Engineer

Job not on LinkedIn

🕒 October 9

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ACLIVITI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

💼 Consulting

🤝 B2B

👥 B2C

Consulting • B2B • B2C

Acliviti is a customer experience (CX) strategy and delivery firm that combines CX strategy, journey design, technology transformation, and managed services to help organizations improve customer engagement and operational outcomes. They provide vendor-neutral guidance, bridge business and technical teams, and deliver execution support across omnichannel platforms, data & analytics, cloud operations, and AI program management. Acliviti serves enterprise clients across industries including healthcare, financial services, retail, hospitality, logistics, and insurance, focusing on measurable results, stakeholder alignment, and long-term operational management.

📋 Description

• Build, configure, and deploy conversational AI solutions across voice and digital channels • Develop conversational flows, bot logic, intents, entities, business rules, prompts, and AI agent workflows • Configure and integrate LLM-powered capabilities, knowledge retrieval, and RAG • Implement AI agents, guardrails, fallback logic, validation, error handling, and escalation paths • Integrate conversational AI platforms with CCaaS and telephony platforms such as NICE CXone and Genesys Cloud • Configure voice integrations, call routing, transfers, IVR, ACD, skills, queues, and live-agent handoffs • Develop conversational logic, API orchestration, data transformations, REST APIs, webhooks, and custom integrations • Integrate solutions with CRM, ERP, databases, knowledge bases, and other enterprise applications • Use JavaScript, Python, or TypeScript and Git/GitHub for development and collaboration • Develop and execute functional, integration, regression, and performance tests • Troubleshoot defects, analyze logs, identify root causes, and resolve technical issues • Support client UAT, deployments, go-live activities, post-production stabilization, and performance monitoring • Create and maintain technical documentation, configuration documentation, integration details, and support runbooks • Collaborate with clients, architects, project managers, CCaaS engineers, and internal technical teams • Participate in discovery sessions, solution reviews, demos, prototypes, and proof-of-concepts • Identify dependencies and risks, own implementation deliverables, and contribute reusable components and development standards

🎯 Requirements

• 5+ years of experience in software engineering, technical implementation, enterprise integrations, or professional services • Hands-on experience implementing conversational AI, virtual agents, chatbots, voicebots, or AI-powered applications • Experience with conversational AI platforms such as Cognigy, PolyAI, Google CCAI, Amazon Lex, or similar technologies • Strong JavaScript skills, including working with APIs, JSON, variables, and custom logic • Experience integrating enterprise applications using REST APIs, webhooks, and authentication mechanisms • Experience with LLMs, prompt engineering, and AI-powered conversational workflows • Experience integrating solutions with enterprise contact center or telephony environments • Understanding of IVR, ACD, call routing, skills, queues, and agent transfers • Experience with technical troubleshooting, testing, debugging, and production deployments • Ability to independently investigate and resolve technical issues across multiple platforms • Strong communication, problem-solving, and client-facing collaboration skills • Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience • Preferred: Cognigy, PolyAI, NICE CXone, Genesys Cloud, SIP, RAG, agentic AI, Salesforce, ServiceNow, Python, TypeScript, AWS, Azure, GCP, Git/GitHub, CI/CD, and consulting or professional services experience • Authorization to work in the United States • Availability to work as a 1099 contractor is requested

🏖️ Benefits

• Remote-first work environment • Full-time employment • Opportunity to work on emerging conversational AI and agentic AI technologies • Exposure to enterprise customer experience transformation projects • Collaboration with cross-functional teams and enterprise clients