AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

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 and develop conversational AI, chatbots, virtual agents, or voice assistants on the Cognigy platform • Configure conversational flows, dialogue management, intents, business logic, prompts, and LLMs • Implement AI response validation, guardrails, fallback logic, and escalation • Optimize AI interactions using performance data and user feedback • Develop and consume REST APIs and build JSON, webhook, and event-driven integrations • Integrate AI solutions with enterprise systems, CRM, ERP, databases, backend applications, and third-party SaaS platforms • Work with authentication mechanisms including OAuth, API keys, and tokens • Implement AI agents, agentic workflows, RAG, knowledge retrieval, embeddings, and vector database solutions where applicable • Work with cloud-based application architectures across AWS, Azure, or GCP • Use Docker/containerized applications, CI/CD processes, logging, monitoring, and troubleshooting practices • Create and execute software, AI, conversational, API, integration, regression, performance, and reliability tests • Identify root causes and resolve technical defects • Analyze AI and conversation performance and identify improvement opportunities • Work in Agile/Scrum environments using Jira or similar tools • Translate requirements into technical solutions, estimate development effort, and document work • Collaborate with Architects, PMs, Product Owners, and client stakeholders

🎯 Requirements

• Some experience • Demonstrated experience with conversational AI, virtual agents, LLMs, APIs, integrations, and software engineering • Ability to learn the Cognigy platform quickly • Experience designing and developing conversational AI, chatbots, virtual agents, or voice assistants • Understanding of conversational flows, dialogue management, intents, and business logic • Experience with Generative AI and Large Language Models (LLMs) • Prompt engineering and LLM configuration • Understanding of AI response validation, guardrails, fallback logic, and escalation • Experience optimizing AI interactions based on performance and user feedback • Strong JavaScript / TypeScript or comparable programming experience • Python experience preferred • Strong understanding of software development fundamentals • Ability to develop and consume REST APIs • Experience with JSON, webhooks, and event-driven integrations • Experience with Git/GitHub or similar source-control platforms • Strong debugging and troubleshooting skills • Experience integrating applications with enterprise systems, CRM, ERP, databases, backend applications, and third-party SaaS platforms • Understanding of REST APIs, authentication, webhooks, data exchange, OAuth, API keys, and tokens • Experience with OpenAI / Azure OpenAI, Anthropic, Google Gemini, or similar LLM platforms • Experience working with AWS, Azure, or GCP • Familiarity with Docker/containerized applications and CI/CD concepts • Experience across Development, QA, UAT, and Production environments • Experience creating and executing software or AI application test cases • Conversational AI, API, integration, regression, performance, and reliability testing experience • Experience working in an Agile/Scrum development environment • Experience with Jira or similar project management tools • Ability to translate requirements into technical solutions and work from user stories and acceptance criteria • Ability to estimate development effort • Strong documentation skills • Ability to work collaboratively with Architects, PMs, Product Owners, and client stakeholders • Contact center experience is nice to have, not required • Authorization to work in the United States • Availability to work as a 1099 contractor

🏖️ Benefits

• 100% remote work • 1099 contractor arrangement • Remote-first and cross-functional culture • Opportunity to work on enterprise customer experience, technical transformation, artificial intelligence, and data segmentation initiatives