conversational ai engineer

Tekskills Inc.

<div>
 
 
 Job Title: NLP Engineer
 
 
 
 
 Location: Hartford, CT 06156 (Onsite)
 
 
 
 
 Duration: 12 Months
 
 
 
 
 
 
 Must Have Skills
 
 
 <ul>
 <li>
 IBM watson X Orchestrate
 </li>
 <li>
 NLP
 </li>
 <li>
 Java, Node.js, or Python
 </li>
 </ul>
 
 
 
 
 Detailed Job Description
 
 
 <ul>
 <li>
 5 years software delivery experience3 years of Chatbot development experience with IBM WatsonX Orchestrate, or any other similar chatbot conversational AI tool i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai3 years training and improving intent recognition by curating the appropriate training data sets3 years applying Conversational AI best practices e.g. NLP and training data best practices1 years of experience in CICD, Git, unittesting and source code management1 years of knowledge
 </li>
 </ul>
 
 
</div>

Chatbot Developer

Faj IT Solutions

About Us FAJ Group, based in Dubai, UAE, was founded in 2010 as a small company focused on technical services and equipment sales.We have since grown into a dynamic organization with over four subsidiaries in two sectors: International Training Academy and IT solutions. Our growth spans trading (including e-commerce), technical services, and various appliances and electronics.Company Name: FAJ IT SolutionsFor more details,Company Name: FAJ IT SolutionsLocation: 3rd Floor, HB Tower, Gulberg Greens Executive Block, IslamabadSend your CV via WhatsApp at +92 341 1410485A Prompt Engineer, or Prompt Designer, provides support for businesses in creating and managing AI prompts to ensure accurate, productive automated AI processes. Duties commonly listed in a Prompt Engineer job description include analyzing and researching AI technologies to stay abreast of best practices, creating and editing prompts and developing algorithms to support positive machine learning outcomes.Prompt Engineer duties and responsibilitiesPrompt Engineers are typically concerned with how processes, employees and customers interact with artificial intelligence. They work to create better prompts and support more proactive and helpful automated content within the scope of a variety of processes, including content generation, customer service chatbots and data analysis.Some potential duties to ensure are in a Prompt Engineer job posting include:<ul><li>Designing or writing prompts to support specific AI outcomes</li><li>Collaborating with teams to refine prompts to develop better prompt processes to support desired outcomes</li><li>Analyzing AI performance and making process and algorithm updates for performance improvement</li><li>Continued research and education on the ever-changing AI field to ensure updated best practices</li><li>Preparing data for use in updating or training machine learning processes</li><li>Providing and explaining reports regarding AI outcomes and performance</li><li>Collaborating with cross-functional teams to understand risks, ethical concerns and other issues related to AI use</li><li>Highlight required technical skills: Specify the programming languages, AI frameworks, and tools the candidate should be proficient in, such as Python, TensorFlow, or GPT-3.</li><li>Design multi turn dialogue flows for text and voice agents with context awareness and memory handling. Define personalities and tone across products and agents.</li><li>Create multilingual prompt strategies and develop reusable templates and frameworks to speed development.</li><li>Continuous Testing and Improvement</li><li>Test prompts with recordings, transcripts, and simulations before and after launch. Analyze live interactions to spot hallucinations, tone issues, dead ends, and token inefficiency.</li></ul>Collaboration and Delivery<ul><li>Partner with product managers on requirements and goals and work with engineers to integrate prompts within technical constraints.</li><li>Coordinate updates across multiple agents with version control for a unified experience and support compliance and privacy standards.</li><li>Iterate quickly to improve quality, safety, and naturalness and use analytics and qualitative insights to measure success.</li></ul>Requirements:<ul><li>Proven experience designing multi-turn conversational systems, such as chatbots, voice assistants, or customer service agents.</li><li>Strong skills in prompt engineering techniques (e.g., few-shot, chain-of-thought, RAG pipelines).</li><li>Ability to define consistent, persona-driven conversational styles across multiple agents and products.</li><li>Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and conversational frameworks (e.g., LangChain).</li><li>Excellent writing and linguistic skills, with attention to tone, clarity, and cultural sensitivity.</li><li>Basic programming skills (Python preferred) for testing and prototyping prompts.</li></ul>Work Location: In person

Ai Prompt Engineer Graphic Designer (Animation, AI Reels & Social Media)

Soum

<div>
 
 Role Name: AI / GenAI Solutions Engineer
 
 
 
 Location:
 
 Egypt, Saudi Arabia, and Pakistan (Remote)
 
 
 
 Work Week:
 
 Sunday - Thursday
 
 
 
 Working Hours:
 
 9:00 AM - 6:00 PM (Saudi Arabia Standard Time)
 
 
 
 Overview:
 
 
 Soum is on a mission to revolutionize customer service experiences across our C2C marketplace through cutting-edge AI solutions. We&rsquo;re looking for a talented
 
 AI / GenAI Solutions Engineer
 
 who will architect, build, and deploy intelligent systems that transform how we engage with millions of users.
 
 
 You&rsquo;ll be at the forefront of GenAI innovation&mdash;leveraging tools like Gemini Advanced, Claude Enterprise, and ChatGPT&mdash;to design scalable, reliable, and context-aware AI agents deeply integrated into Soum&rsquo;s ecosystem. This is your chance to make a tangible impact on how customers interact with our platform while working in a collaborative, fast-paced environment.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Build GenAI-powered solutions: Design, develop, and deploy scalable business workflows using GenAI client tools (e.g., Gemini Advanced, NotebookLM, Claude Enterprise) and integrate them with existing systems via APIs (Freshdesk, Google Workspace, Airtable, etc.)
 </li>
 <li>
 Drive AI innovation: Evaluate and experiment with emerging GenAI technologies, stay ahead of industry trends, and pilot innovative solutions tailored for Soum&rsquo;s marketplace
 </li>
 <li>
 Ensure scalability and reliability: Architect solutions that can handle high-volume, concurrent user interactions while maintaining low latency and excellent user experience
 </li>
 <li>
 Partner cross-functionally: Collaborate with Product, Data, Engineering, and Customer Support teams to identify opportunities for automation and deliver impactful, user-centric solutions
 </li>
 <li>
 Evangelize AI adoption: Share best practices, contribute to technical knowledge-sharing sessions, and promote a culture of continuous improvement and innovation
 </li>
 <li>
 Bridge technical gaps: Integrate custom-built AI platforms with out-of-the-box GenAI tools, fostering democratization and ease of adoption across teams
 
 
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree, preferably in Computer Science, Engineering, or a related technical field
 </li>
 <li>
 3+ years of relevant experience in AI or related fields
 </li>
 <li>
 Experience designing, building, and deploying AI/ML systems at scale in conversational AI contexts
 </li>
 <li>
 Deep hands-on experience using and implementing GenAI tools (e.g., Gemini, ChatGPT, Claude Enterprise) to solve real-world business problems
 </li>
 <li>
 Strong understanding of SaaS ecosystems, API integrations (including Google Workspace, Airtable, Freshdesk)
 </li>
 <li>
 Expertise in NLP/NLU, conversational AI frameworks, and large language models
 </li>
 <li>
 Proficiency in Python and JavaScript for scripting, automation, and lightweight prototyping
 </li>
 <li>
 Practical experience integrating AI solutions into production systems via APIs, microservices, and event-driven architectures
 </li>
 <li>
 Experience working on a C2C platform. Solid understanding of marketplace dynamics, customer support challenges, and user engagement in a C2C environment
 </li>
 <li>
 Experience implementing conversational flows, dialogue management, and context tracking in AI agents
 </li>
 <li>
 Familiarity with retrieval-augmented generation (RAG) architectures for enhancing LLM capabilities
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI deployments
 </li>
 <li>
 Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively
 
 
 
 
 
 </li>
 </ul>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

AI / GenAI Solutions Engineer

Jorofy Private Limited

Role Summary:We are seeking an exceptional Senior AI Engineer to join our team and drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. The ideal candidate will have deep expertise in LLM technologies and a proven track record of delivering scalable AI solutions.Responsibilities:AI System Development-Design and implement advanced Retrieval-Augmented Generation (RAG) systems with sophisticated chunking strategies, multi-vector retrieval, and hybrid search architectures-Develop and optimize conversational AI agents with complex multi-turn dialogue management and context awareness-Build production-ready voicebot solutions integrating real-time speech processing pipelines-Architect and deploy Text-to-Speech (TTS) and Speech-to-Text (STT) systems with low latency and high accuracy-Design and Deploy PROD grade AI Agents that can scale up for various use cases.LLM Engineering-Fine-tune large language models using various techniques.-Optimize model performance through prompt engineering, few-shot learning, and retrieval strategies-Implement evaluation frameworks and metrics for LLM outputs and conversational quality-Develop custom training pipelines for domain adaptation and specialized use cases-Design scalable AI infrastructure supporting real-time inference and high-throughput batch processing-Implement efficient vector databases and semantic search systems (Pinecone, Azure Search)-Build monitoring and observability solutions for AI systems in productionStakeholder Management &amp; Governance-Coordinate across organizational stakeholders including Architecture, Security, Data Gov etc.-Ensure compliance with internal and external governance frameworks and regulations-Advocate for AI trends and technological advancements relevant to telecommunicationsStay current with latest developments in LLM architectures, RAG techniques, and voice AI technologiesExperiment with emerging models and frameworks to evaluate applicability to business problemsApply at : careers@enums.coJob type : RemoteJob Type: Full-timeApplication Question(s): * It's Not a Part time job, It's a Full time role. You can not do any other job or freelance work if you need this full time job.Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI Lead: 8 years (Required)</li></ul>Work Location: Remote

Senior AI Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. 
 
We are looking for a software dev engineer for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). SPB helps merchants, retail vendors, and brand owners grow incremental sales of their products on Amazon through native product advertising. The CAX team focuses on sponsored conversational shopping experiences powered by large language models (LLMs). The team is working on multiple 'industry first' projects which are ambiguous and challenging, but they offer the opportunity to have a significant impact on both our shoppers and business. As an engineer on the team, you will drive major product and engineering initiatives, build large-scale, low-latency distributed systems, build ML infrastructure and data processing pipelines. You will partner with our science team to implement LLM models in production, and also contribute to LLMOps. You will be responsible for designing, building, and operating key pieces of customer facing functionality impacting hundreds of millions of Amazon shoppers worldwide. 
 
Key job responsibilities 
Key job responsibilities 
<ul><li>Design and develop net new conversational ad experiences on the Search page</li><li>Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem</li><li>Pioneer new approaches to conversational AI and natural language interactions in advertising</li><li>Shape the future of how businesses connect with customers through advertising</li><li>Create scalable systems to deliver explicitly personalized ad experiences</li></ul>
What we're looking for: 
<ul><li>Passionate about Generative AI, Large Language Models, and their real-world applications</li><li>Strong software engineering skills</li><li>Creative problem-solver who thrives in ambiguity and loves tackling complex challenges</li><li>Track record of delivering innovative solutions that drive business impact</li><li>Enthusiasm for staying current with the rapidly evolving AI landscape</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually</div>

Software Dev Engineer III, Conversational Ad Experiences

Confiz

<div>We are seeking an exceptional Senior AI Engineer to join our team and drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. The ideal candidate will have deep expertise in LLM technologies and a proven track record of delivering scalable AI solutions.
Key Responsibilities
<ul><li>Design and implement advanced Retrieval-Augmented Generation (RAG) systems with sophisticated chunking strategies, multi-vector retrieval, and hybrid search architectures</li>
<li>Develop and optimize conversational AI agents with complex multi-turn dialogue management and context awareness</li>
<li>Build production-ready voicebot solutions integrating real-time speech processing pipelines</li>
<li>Architect and deploy Text-to-Speech (TTS) and Speech-to-Text (STT) systems with low latency and high accuracy</li>
<li>Design and Deploy PROD grade AI Agents that can scale up for various use cases.</li>
<li>Fine-tune large language models using various techniques.</li>
<li>Optimize model performance through prompt engineering, few-shot learning, and retrieval strategies</li>
<li>Implement evaluation frameworks and metrics for LLM outputs and conversational quality</li>
<li>Develop custom training pipelines for domain adaptation and specialized use cases</li>
<li>Design scalable AI infrastructure supporting real-time inference and high-throughput batch processing</li>
<li>Implement efficient vector databases and semantic search systems (Pinecone, Azure Search)</li>
<li>Build monitoring and observability solutions for AI systems in production</li>
<li>Stay current with latest developments in LLM architectures, RAG techniques, and voice AI technologies</li>
<li>Experiment with emerging models and frameworks to evaluate applicability to business problems</li>
<li>Contribute to technical documentation, best practices, and knowledge sharing within the team</li>
<li>Prototype and validate new AI capabilities through POCs and pilots</li>
</ul>
Required Qualifications
<ul><li>8+ years of software engineering experience with 4+ years focused on AI/ML engineering</li>
<li>Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow)</li>
<li>Master's or PhD in Computer Science, AI/ML, or related technical field</li>
<li>Experience with open-source LLMs (Llama, Mistral, etc.) and local deployment</li>
<li>Knowledge of reinforcement learning from human feedback (RLHF) and DPO</li>
<li>Familiarity with multi-modal AI systems (vision-language models, audio-visual understanding)</li>
<li>Experience with real-time streaming architectures and WebRTC</li>
<li>Published research or contributions to open-source AI projects</li>
<li>Experience with GPU optimization and distributed training</li>
<li>Knowledge of voice biometrics, speaker diarization, or emotion recognition</li>
<li>Background in linguistics, phonetics, or speech processing</li>
<li>Deep hands-on experience with advanced RAG systems:</li>
<li>Multi-stage retrieval architectures (hybrid search, re-ranking)</li>
<li>Embedding models and vector similarity search</li>
<li>Document processing, chunking strategies, and metadata filtering</li>
<li>Query understanding and retrieval optimization</li>
<li>Multi-turn dialogue management</li>
<li>Intent recognition and slot filling</li>
<li>Context tracking and memory management</li>
<li>Integration with LLM APIs (OpenAI, Anthropic, Cohere, etc.)</li>
<li>Production experience with voicebot development:</li>
<li>Real-time audio streaming and processing</li>
<li>Voice activity detection (VAD)</li>
<li>End-to-end latency optimization</li>
<li>Integration of STT, dialogue management, and TTS components</li>
<li>Expertise in TTS and STT technologies:</li>
<li>Modern TTS systems (ElevenLabs, Soniox, Azure Speech)</li>
<li>STT engines ( Deepgram, AssemblyAI)</li>
<li>Audio preprocessing and enhancement</li>
<li>Voice cloning and customization</li>
<li>Strong experience with LLM fine-tuning:</li>
<li>Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)</li>
<li>Experience with MLOps tools and practices (MLflow, Weights &amp; Biases, experiment tracking)</li>
<li>Strong understanding of API design, microservices architecture, and system integration</li>
<li>Knowledge of version control, CI/CD pipelines, and deployment automation</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

AI Architect

<div>We are seeking an exceptional Senior AI Engineer to join our team and drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. The ideal candidate will have deep expertise in LLM technologies and a proven track record of delivering scalable AI solutions.
Key Responsibilities
<ul><li>Design and implement advanced Retrieval-Augmented Generation (RAG) systems with sophisticated chunking strategies, multi-vector retrieval, and hybrid search architectures</li>
<li>Develop and optimize conversational AI agents with complex multi-turn dialogue management and context awareness</li>
<li>Build production-ready voicebot solutions integrating real-time speech processing pipelines</li>
<li>Architect and deploy Text-to-Speech (TTS) and Speech-to-Text (STT) systems with low latency and high accuracy</li>
<li>Design and Deploy PROD grade AI Agents that can scale up for various use cases.</li>
<li>Fine-tune large language models using various techniques.</li>
<li>Optimize model performance through prompt engineering, few-shot learning, and retrieval strategies</li>
<li>Implement evaluation frameworks and metrics for LLM outputs and conversational quality</li>
<li>Develop custom training pipelines for domain adaptation and specialized use cases</li>
<li>Design scalable AI infrastructure supporting real-time inference and high-throughput batch processing</li>
<li>Implement efficient vector databases and semantic search systems (Pinecone, Azure Search)</li>
<li>Build monitoring and observability solutions for AI systems in production</li>
<li>Stay current with latest developments in LLM architectures, RAG techniques, and voice AI technologies</li>
<li>Experiment with emerging models and frameworks to evaluate applicability to business problems</li>
<li>Contribute to technical documentation, best practices, and knowledge sharing within the team</li>
<li>Prototype and validate new AI capabilities through POCs and pilots</li>
</ul>
Required Qualifications
<ul><li>5+ years of software engineering experience with 4+ years focused on AI/ML engineering</li>
<li>Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow)</li>
<li>Master's or PhD in Computer Science, AI/ML, or related technical field</li>
<li>Experience with open-source LLMs (Llama, Mistral, etc.) and local deployment</li>
<li>Knowledge of reinforcement learning from human feedback (RLHF) and DPO</li>
<li>Familiarity with multi-modal AI systems (vision-language models, audio-visual understanding)</li>
<li>Experience with real-time streaming architectures and WebRTC</li>
<li>Published research or contributions to open-source AI projects</li>
<li>Experience with GPU optimization and distributed training</li>
<li>Knowledge of voice biometrics, speaker diarization, or emotion recognition</li>
<li>Background in linguistics, phonetics, or speech processing</li>
<li>Deep hands-on experience with advanced RAG systems:</li>
<li>Multi-stage retrieval architectures (hybrid search, re-ranking)</li>
<li>Embedding models and vector similarity search</li>
<li>Document processing, chunking strategies, and metadata filtering</li>
<li>Query understanding and retrieval optimization</li>
<li>Multi-turn dialogue management</li>
<li>Intent recognition and slot filling</li>
<li>Context tracking and memory management</li>
<li>Integration with LLM APIs (OpenAI, Anthropic, Cohere, etc.)</li>
<li>Production experience with voicebot development:</li>
<li>Real-time audio streaming and processing</li>
<li>Voice activity detection (VAD)</li>
<li>End-to-end latency optimization</li>
<li>Integration of STT, dialogue management, and TTS components</li>
<li>Expertise in TTS and STT technologies:</li>
<li>Modern TTS systems (ElevenLabs, Soniox, Azure Speech)</li>
<li>STT engines ( Deepgram, AssemblyAI)</li>
<li>Audio preprocessing and enhancement</li>
<li>Voice cloning and customization</li>
<li>Strong experience with LLM fine-tuning:</li>
<li>Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)</li>
<li>Experience with MLOps tools and practices (MLflow, Weights &amp; Biases, experiment tracking)</li>
<li>Strong understanding of API design, microservices architecture, and system integration</li>
<li>Knowledge of version control, CI/CD pipelines, and deployment automation</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

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8090 conversational ai engineer jobs Near Me

Chatbot Developer

Ai Prompt Engineer Graphic Designer (Animation, AI Reels & Social Media)

AI / GenAI Solutions Engineer

Senior AI Engineer

Software Dev Engineer III, Conversational Ad Experiences

AI Architect

Senior AI Engineer