conversational ai engineer

Apple

<div>Marcom is the globally led creative team responsible for Apple&rsquo;s consumer-facing marketing. We ensure the seamless execution of world-class communications across all media and platforms. Every day, hundreds of millions of Apple customers worldwide interact with our products. We drive the strategic and creative work that provides both new and existing customers with simple, engaging, and inspiring marketing experiences. As MP&amp;S DevOps Org, we are committed to continuous learning and delivering solutions on a global scale. By working with a diverse range of multi-functional teams, we are able to combine the best of our expertise to create interactive experiences with a skilled group of software engineers. We thoroughly enjoy the process! You will lead the machine learning project lifecycle, design virtual assistants, and develop advanced analytics to drive innovation and solve business challenges with AIOps expertise.
<br>
<br>
<b>Description</b><br>
<br>
As an ML Engineer, you will oversee the machine learning project lifecycle, employing best practices and optimally managing software delivery. You will lead the design and development of virtual assistants utilizing Conversational AI platforms, fostering innovative concepts for impactful solutions. You will design and develop advanced analytic solutions across diverse functional areas, collaborating with business stakeholders to identify AI/ML challenges and capitalize on LLM technologies. You will provide technical support on LLM and GenAI usage, assist teams in adhering to best practices, and lead AIOps projects, prioritizing clustering, classification, anomaly detection, and capacity prediction. Proficiency in understanding requirements, designing conversational flows, and developing intent and entities for chatbots is crucial.
<br>
<br>
<b>Responsibilities</b><br>
<ul><li>
Drive the entire machine learning project lifecycle with best practices and software delivery.
</li><li>Lead the design and development of virtual assistants using Conversational AI platforms.
</li>Engage with business stakeholders and leverage LLM technologies for advanced analytic solutions.<br>
<li>
</li></ul><br>
<br>
<b>Minimum Qualifications</b><br>
<ul><li>
5-7 years of experience implementing AI/ML models in enterprise systems.
</li><li>Deep understanding of AI/ML concepts, including supervised and unsupervised learning, deep learning, anomaly detection, and large language models.
</li><li>Expertise in Python and relevant libraries and frameworks (e.g., Pandas, Numpy, TensorFlow).
</li><li>Relevant experience in designing, developing, and deploying conversational bots.
</li><li>Experience working with Prometheus, Splunk, Datadog, and Grafana.
</li><li>Experience in NLP, NLU, ML, and Conversational AI.
</li><li>Expertise in seamlessly integrating bot systems with backend systems, databases, and APIs for smooth data exchange and interactions.
</li><li>Excellent troubleshooting and analytical skills in a complex, distributed environment.
</li><li>Excellent communication, presentation, and collaboration skills.
</li><li>Self-starter, capable of working independently.
</li></ul><br>
<b>Preferred Qualifications</b><br>
BS or MS in Engineering, Computer Science, or a related field.<br>
<ul><li>
</li></ul><br>
<br>
Submit CV</div>

ML Data Scientist

Impetus Technologies

<p></p><div><div><div><div><div><div><div><p>Hyderabad, Telangana, India;Bangalore, Karnataka, India;Indore, Madhya Pradesh, India;Noida, Uttar Pradesh, India</p></div></div></div><div><div><div><br>
</div></div></div></div></div></div><div><div><div><div><div><div><div><div><p>
Qualification</p><div>
:</div></div><div><div><p><br>
About the Role</p>
<p>We are looking for an engineer with strong experience in building, deploying, and scaling chatbot solutions on AWS. The role involves working closely with product and engineering teams to design conversational AI systems that are secure, scalable, and integrated with enterprise applications.</p>
<p>Key Responsibilities</p>
<p>Design, develop, and deploy chatbot solutions leveraging AWS services (Lambda, API Gateway, DynamoDB, S3, etc.).<br>
Integrate chatbots with enterprise applications (CRM, HRMS, custom apps, etc.).<br>
Build NLP workflows, conversation flows, and handle fall/error strategies.<br>
Implement monitoring, logging, and analytics to track chatbot performance.<br>
Ensure security, scalability, and high availability of deployed solutions.<br>
Collaborate with product managers, UX designers, and data scientists to improve conversational experiences.<br>
Optimize costs and performance of chatbot workloads on AWS.<br>
Required Skills</p>
<p>Strong hands-on experience with AWS services (Lambda, S3, DynamoDB, CloudWatch, API Gateway, IAM).<br>
Machine Learning and Artificial Intelligence<br>
Proficiency in at least one programming language (Python, Node.js, or Java).<br>
Experience with NLP / conversational AI frameworks (Rasa, Dialogflow, or similar).<br>
Knowledge of API integrations (REST, GraphQL, Webhooks).<br>
Understanding of CI/CD pipelines (CodePipeline, GitHub Actions, Jenkins).<br>
Familiarity with cloud security best practices and IAM policies.<br>
Knowledge of FastAPI, Flask or other API development frameworks<br>
AI Agents knowledge<br>
Nice to Have</p>
<p>Experience with Generative AI (Amazon Bedrock, OpenAI APIs, Anthropic Claude, etc.).<br>
Familiarity with front-end integration (React, Angular, mobile apps, WhatsApp/Slack/Teams bots).<br>
Exposure to MLOps or deploying custom NLP models.<br>
Knowledge of analytics platforms for chatbot performance (Amazon Kendra, QuickSight, or third-party).</p>
</div></div></div></div></div><div><div><div><div><p>
Experience</p><div>
:</div></div><div><p>
7 to 12 years</p></div></div></div></div><div><div><div><div><p>
Job Reference Number</p><div>
:</div></div><div><p>
13295</p></div></div></div></div><div><div><div><div><p>
Skills Required</p><div>
:</div></div><div><p>
Sagemaker</p></div></div></div></div><div><div><div><div><p>
Role</p><div>
:</div></div><div><div><p><br>
About the Role</p>
<p>We are looking for an engineer with strong experience in building, deploying, and scaling chatbot solutions on AWS. The role involves working closely with product and engineering teams to design conversational AI systems that are secure, scalable, and integrated with enterprise applications.</p>
<p>Key Responsibilities</p>
<p>Design, develop, and deploy chatbot solutions leveraging AWS services (Lambda, API Gateway, DynamoDB, S3, etc.).<br>
Integrate chatbots with enterprise applications (CRM, HRMS, custom apps, etc.).<br>
Build NLP workflows, conversation flows, and handle fall/error strategies.<br>
Implement monitoring, logging, and analytics to track chatbot performance.<br>
Ensure security, scalability, and high availability of deployed solutions.<br>
Collaborate with product managers, UX designers, and data scientists to improve conversational experiences.<br>
Optimize costs and performance of chatbot workloads on AWS.<br>
Required Skills</p>
<p>Strong hands-on experience with AWS services (Lambda, S3, DynamoDB, CloudWatch, API Gateway, IAM).<br>
Machine Learning and Artificial Intelligence<br>
Proficiency in at least one programming language (Python, Node.js, or Java).<br>
Experience with NLP / conversational AI frameworks (Rasa, Dialogflow, or similar).<br>
Knowledge of API integrations (REST, GraphQL, Webhooks).<br>
Understanding of CI/CD pipelines (CodePipeline, GitHub Actions, Jenkins).<br>
Familiarity with cloud security best practices and IAM policies.<br>
Knowledge of FastAPI, Flask or other API development frameworks<br>
AI Agents knowledge<br>
Nice to Have</p>
<p>Experience with Generative AI (Amazon Bedrock, OpenAI APIs, Anthropic Claude, etc.).<br>
Familiarity with front-end integration (React, Angular, mobile apps, WhatsApp/Slack/Teams bots).<br>
Exposure to MLOps or deploying custom NLP models.<br>
Knowledge of analytics platforms for chatbot performance (Amazon Kendra, QuickSight, or third-party).</p></div></div></div></div></div></div></div></div></div></div><p></p>

Generative AI Engineer (Module Lead/Lead)

THE ADVANTECH

<p><b>Position:</b> Artificial Intelligence &amp; Machine Learning Engineer &ndash; AI-ML</p><p><b>Role Overview: </b></p><p>We are seeking a talented <b>AI/ML Engineer</b> with 5+ years of experience in developing, training, and optimizing AI models. The ideal candidate will have hands-on experience with frameworks like Rasa, SpaCy, and LLaMA, working on innovative applications in conversational AI, NLP, and large language models (LLMs). This role involves designing scalable AI CallBot and collaborating with multidisciplinary teams to deliver cutting-edge products.</p><p><b>Key Responsibilities:</b></p><ul><li>Build, train, and optimize machine learning and AI models for real-world applications.</li><li>Develop and fine-tune <b>conversational AI systems</b> using <b>Rasa</b> and NLP pipelines with <b>SpaCy</b> or similar plateforms.</li><li>Implement and customize large language models, including <b>LLaMA</b> and other transformer-based architectures.</li><li>Preprocess and analyze structured and unstructured datasets for AI model development.</li><li>Evaluate model performance and iteratively improve accuracy, efficiency, and scalability.</li><li>Collaborate with product managers and engineers to integrate AI models into production systems.</li><li>Deploy models on cloud platforms and ensure reliable operation in real-time environments.</li><li>Document algorithms, workflows, and processes for reproducibility and team knowledge sharing.</li><li>Stay updated with advancements in AI, LLMs, and NLP frameworks, applying the latest techniques to projects.</li></ul><p><b>Required Qualifications:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>3+ years of experience in developing, training, and deploying AI/ML models.</li><li>Proficiency in <b>Python</b> and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.</li><li>Hands-on experience with <b>Rasa</b>, <b>SpaCy</b>, and large language models like <b>LLaMA</b>.</li><li>Strong understanding of NLP concepts, including tokenization, named entity recognition, and text classification.</li><li>Familiarity with transformer-based architectures (BERT, GPT, or similar).</li><li>Experience with cloud platforms (AWS, GCP, or Azure) and deploying models in production environments.</li><li>Solid grasp of data preprocessing, feature engineering, and model evaluation.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li><b>Proven ability to design and implement conversational AI CallBot end-to-end.</b></li><li>Experience with additional NLP frameworks like Hugging Face or OpenAI API.</li><li>Knowledge of MLOps practices, including model monitoring and versioning.</li><li>Familiarity with Docker, Kubernetes, and microservices architecture.</li><li>Experience working with big data tools such as Spark or Hadoop.</li></ul><p><b>What We Offer</b></p><ul><li>Competitive salary and equity package.</li><li>Flexible remote/hybrid work options.</li><li>Professional development stipend for courses and conferences.</li><li>Collaborative, fast&#8209;paced environment driving digital commerce innovation.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs100,000.00 - Rs300,000.00 per month</p><p>Experience:</p><ul><li>AI Development: 5 years (Required)</li></ul><p>Work Location: In person</p>

Artificial Intelligence & Machine Learning Engineer – AI-ML

Quesscorp Manpower Supply Services Llc

<p><strong>Senior AI Engineer (5 positions)</strong></p><ul><li><strong>Role Definition:</strong> Hands-on development of the AI agents and conversational systems that form the core of Aura. These engineers will be responsible for prompt engineering, building and fine-tuning agentic workflows, and integrating with various data sources and service APIs (e.g., EMRs, scheduling systems, lab results).</li><li><strong>Capabilities:</strong> Proficient in Python and AI/ML frameworks. Demonstrable experience building multi-agent and/or complex RAG-based systems for real-world applications within a healthcare context. Expertise in working with Vector DBs and third-party APIs.</li></ul><div><div style=""><span style="font-size: 11px;"><b>Role: Data Engineer</b></span></div><div style=""><span style="font-size: 11px;">Industry Type: Software Product</span></div><div style=""><span style="font-size: 11px;">Department: Engineering - Software &amp; QA</span></div><div style=""><span style="font-size: 11px;">Employment Type: Full Time, Permanent</span></div><div style=""><span style="font-size: 11px;">Role Category: Software Development</span></div><div style=""><span style="font-size: 11px;">Education</span></div><div style=""><span style="font-size: 11px;">UG: Any Graduate</span></div></div>

Senior Artificial Intelligence Engineer

EPAM Systems

<div><p>We are seeking a <b>Senior Machine Learning Engineer</b> to design and maintain conversational interfaces using the Dialogflow platform.</p><p>
You will apply your skills in Python and prompt engineering for large language models to build advanced chatbots and virtual assistants. Your expertise will be key in integrating these solutions with backend systems and enhancing user interactions. Join us to contribute to innovative conversational AI projects and advance your career in machine learning engineering.</p><p><b>
Responsibilities</b></p><ul><li>
Investigate existing engine implementations and propose integration methods with Seller Assistant</li><li>
Design and develop conversational user interfaces using Dialogflow</li><li>
Write and maintain natural language understanding intents and entities using Python</li><li>
Integrate Dialogflow with backend systems and APIs leveraging Python libraries</li><li>
Develop custom fulfillment functions in Python to manage complex user requests</li><li>
Engineer prompts for large language models to improve conversational quality</li><li>
Collaborate with cross-functional teams to ensure seamless system integration</li><li>
Test and debug conversational applications to ensure optimal performance</li><li>
Document development processes and maintain code repositories</li></ul><p><b>
Requirements</b></p><ul><li>
3+ years of experience in machine learning engineering with a focus on conversational AI</li><li>
Proven background in developing chatbots or virtual assistants using various platforms</li><li>
Skills in natural language processing and machine learning concepts</li><li>
Proficiency in Python programming for developing conversational applications</li><li>
Knowledge of Google Cloud Platform services and tools</li><li>
Capability to engineer prompts for large language models</li><li>
Strong written and verbal English communication skills (B2+)</li></ul><p><b>
We offer</b></p><ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul><p><i>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</i></p></div>

Senior Machine Learning Engineer (Dialogflow)

Genesys

<div></div><div><div><div><div><div><div>locations</div><div>
Hyderabad (Flexible)</div><div>
Hyderabad, India</div></div></div></div><div></div><div><div><div><div><div>
time type</div><div>
Full time</div></div></div></div><div></div><div><div><div><div>
posted on</div><div>
Posted 3 Days Ago</div></div></div></div><div></div><div><div><div><div>
job requisition id</div><div>
JR108541</div></div></div></div></div></div><div><div><div>
Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.</div><div></div><div>
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.</div><div></div><div>
Job Title: Senior Software Engineer - AI/ML</div><div>
Department &amp; Team: AI Group, Conversational AI</div><div></div><div>
Description:</div><div>
The Conversational AI group are seeking a Senior Software Engineer to join the team and help drive the innovation and evolution of our Conversational AI solutions with a focus on Generative AI systems at global scale (reaching over 7,500 organizations in 100+ countries). This role offers the opportunity to shape the future of our AI capabilities while leading complex technical initiatives that will shape our journey towards Agentic AI. You'll work at the intersection of cutting-edge AI research and practical implementation, delivering solutions that have a significant organizational impact. You will collaborate closely with UX designers, and product teams supporting each other to bring state-of-the-art AI technologies to production.</div><div></div><div>
This is an opportunity to shape the future of AI-driven conversations and develop robust, scalable architectures for intelligent agents. And a great opportunity to work at the intersection of software engineering and AI research. If you are passionate about building next-generation AI applications and have a strong background in software engineering, distributed systems, and AI development, we&rsquo;d love to hear from you.</div><div></div><div>
What You Will Do:</div><ul><li>Design and execute POCs that push the boundaries of conversational AI and virtual agent capabilities, contributing to organizational growth through creative technical solutions.</li><li>Develop, maintain, enhance, and evolve our Virtual Agents engine, applying advanced AI/ML concepts to solve extremely complex problems in natural language understanding and generation.</li><li>Help deliver our roadmap toward Agentic AI, translating cutting-edge research into practical and scalable solutions.</li><li>Own technical initiatives involving cross-functional teams, delegating work effectively while maintaining high standards through technical review.</li><li>Influence and collaborate: work closely with product teams, customers, and vendors to translate business requirements into innovative technical solutions.</li></ul><div></div><div>
What We're Looking For:</div><ul><li>Ideally, a degree in Computer Science, Software Engineering, Data Science, or related disciplines. However, this is not a hard requirement as we recognise there are many diverse paths into software careers.</li></ul><div>
- 5+ years of software engineering experience with demonstrated expertise in AI/ML systems (advanced degrees may reduce requirement by 2-4 years).</div><ul><li>Deep expertise in conversational AI, NLP, and dialogue systems with proven track record of delivering production systems.</li><li>Strong software engineering fundamentals including system design, data structures, algorithms, and software architecture.</li><li>Experience in working on complex technical projects and delivering technical outcomes.</li><li>Excellent communication skills with the ability to influence and explain complex concepts across organizational levels.</li><li>Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.</li><li>Independent judgment in developing novel approaches to challenging AI problems.</li></ul><div></div><div>
Desirable Experience or an Interest in Learning:</div><ul><li>Experience with Large Language Models (LLMs) and their application in conversational systems. Hand-on experience with fine-tuning, and prompt engineering.</li><li>Knowledge of multi-agent systems/frameworks and agentic AI architectures.</li><li>Familiarity with voice AI technologies and multimodal conversational interfaces.</li><li>Experience with MLOps and deploying AI systems at scale.</li><li>Background in reinforcement learning for dialogue optimization.</li><li>Understanding of enterprise AI governance and responsible AI practices.</li><li>Interest in emerging areas like tool-using AI agents and autonomous decision-making systems.</li><li>Experience with cloud platforms (particularly AWS) and AI/ML technologies.</li><li>Experience with vector databases and retrieval-augmented generation (RAG).</li><li>Contributions to open-source AI projects, research publications, or patents in AI/ML.</li></ul><div></div><div>
If you are excited about pushing the boundaries of conversational AI and agentic intelligence while leveraging strong software skills, we encourage you to apply and be part of our team!</div><div></div><div>
#LI-Hybrid</div><div>
#LI-GR1</div><div></div><div>
If a Genesys employee referred you, please use the link they sent you to apply.</div><div></div><div>
About Genesys:</div><div>
Genesys&reg; empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud&trade; is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit <div>www.genesys.com</div>.</div><div></div><div>
Reasonable Accommodations:</div><div>
If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at <div>reasonable.accommodations@genesys.com</div>.</div><div></div><div>
You can expect a response within 24&ndash;48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.</div><div></div><div>
This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation&mdash;such as application follow-ups or resume submissions&mdash;may not receive a response.</div><div></div><div>
Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.</div><div></div><div><i>
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.</i></div></div></div></div>

Senior Software Development Engineer - AI

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></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.<br>
<br>
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.<br>
<br>
Key job responsibilities<br>
Key job responsibilities<br>
<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:<br>
<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"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ 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><li>Experience with AI/ML technologies</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Dev Engineer II, Conversational Ad Experiences

Search 10000+ Conversational ai engineer jobs near you this October. New roles added regularly across leading industries. Apply today.