Conversational Ai

Conversational Ai Engineer Jobs

33 jobs found

3d ago

Generative AI Engineer

Robotics Technologies Frisco, TX

Frisco, TX

3d ago

Full time Backend Developer Agentic Ai Ai Agent

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Job Description

Robotics Technologies is seeking a Generative AI Engineer to design and ship production-ready AI agents and voice-enabled conversational applications. This onsite role in Frisco, TX focuses on building scalable backend services and AI workflows that can operate reliably in real environments. You will work across orchestration, RAG, voice pipelines, and cloud-native deployment, with a strong emphasis on testing, monitoring, and responsible AI practices.

What you will do

Design, develop, test, and deploy production-ready AI agents and voice-enabled conversational applications.
Build scalable backend applications using Python, OOP, and asynchronous programming.
Create multi-turn conversational AI workflows with context management, memory, tool calling, and human handoff capabilities.
Implement AI agent orchestration using LangChain, LangGraph, and LLMs.
Develop voice AI solutions by integrating Speech-to-Text (STT) and Text-to-Speech (TTS) technologies.
Apply prompt engineering, RAG, and enterprise knowledge retrieval pipelines.
Integrate AI agents with enterprise systems, APIs, and contact center platforms.
Build secure REST APIs, microservices, and event-driven backend architectures.
Develop and deploy scalable cloud applications using AWS services and serverless architecture.
Use Docker and Kubernetes for containerized deployment environments.
Integrate relational, NoSQL, and vector databases for storage and AI-powered retrieval.
Implement AI guardrails, security controls, error handling, and responsible AI practices.
Develop automated unit, integration, performance, and conversational regression tests.
Configure CI/CD pipelines and support continuous integration, deployment, and application delivery.
Monitor performance, troubleshoot production issues, and improve system reliability.
Collaborate with AI/ML engineers, cloud architects, and enterprise technology teams to deliver AI automation solutions.

What you bring

5+ years of software engineering experience with strong Python development.
Strong fundamentals in Python, OOP, asynchronous programming, and automated testing.
Experience with conversational AI and voice AI agent development, including STT and TTS.
Practical experience with Large Language Models (LLMs) and generative AI.
Hands-on work with LangChain, LangGraph, prompt engineering, and AI agent orchestration.
Knowledge of RAG and vector search.
Experience with AWS cloud services and serverless architecture.
Experience building REST APIs, microservices, and event-driven architecture.
Familiarity with Docker, Kubernetes, and containerization.
Experience with relational, NoSQL, and vector databases.
Solid experience with CI/CD, monitoring, logging, and production troubleshooting.
Comfortable running integration testing, performance testing, and conversational AI testing.

Technologies you will work with

Python, OOP, Asynchronous Programming, LangChain, LangGraph, LLMs, Speech-to-Text (STT), Text-to-Speech (TTS), Prompt Engineering, RAG, Vector Search, AWS Cloud Services, serverless architecture, REST APIs, microservices, event-driven backend architectures, Docker, Kubernetes, containerized deployment environments, relational databases, NoSQL, vector databases, CI/CD, Monitoring, Logging, automated unit testing, integration testing, performance testing, conversational regression tests.

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4d ago

AI Engineer

Barclays Henderson, NV

Henderson, NV

4d ago

$166k - $175k/yr Contract Backend Developer Agentic Ai Engineering Artificial Intelligence

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Job Description

Barclays is seeking an AI Engineer, AVP to build and deploy AI and GenAI capabilities that can be used in production settings. The role focuses on using data analytics and machine learning to uncover insights from the bank’s data, support strategic decision-making, and advance innovation across the organisation.

This contract position is based in Henderson, NV on site, with a salary range of USD 165,755 to 175,000 per year.

What you will do

Build and deploy AI/GenAI applications including Retrieval-Augmented Generation (RAG), conversational AI, and agentic workflows, along with intelligent automation solutions.
Design and develop scalable backend services, APIs, and integrations that connect AI models with enterprise data platforms and business applications.
Architect and manage cloud-native AI workloads running on containerized platforms such as Kubernetes and Amazon EKS.
Develop and maintain CI/CD pipelines, infrastructure-as-code, model deployment frameworks, monitoring, and operational telemetry.
Design secure networking solutions including VPC architecture, private connectivity, load balancing, service-to-service communication, API gateways, DNS, and network security controls.
Optimize AI application performance, scalability, availability, and cost efficiency across computing, storage, and networking layers.
Implement MLOps/LLMOps practices such as model versioning, automated testing, deployment, observability, rollback, and lifecycle management.
Partner with business and technology stakeholders to deploy production-ready AI capabilities while meeting governance, security, and audit requirements.
Identify, collect, and extract data from internal and external sources.
Perform data cleaning, wrangling, and transformation to ensure data quality and suitability for analysis.
Develop and maintain data pipelines for automated data acquisition and processing.
Design and conduct statistical and machine learning models to analyze patterns, trends, and relationships.
Develop and implement predictive models to forecast outcomes and identify risks and opportunities.
Collaborate with business stakeholders to find ways to add value from data through Data Science.
Advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness.
Lead team delivery of complex tasks by setting objectives, coaching employees, assessing performance against objectives, and determining reward outcomes.
Demonstrate the People Leader LEAD behaviours: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others.
For an individual contributor route: lead collaborative assignments, guide team members through structured work, determine when additional specialisms are needed, and identify new directions for assignments or projects.
Consult on complex issues, provide advice to People Leaders for escalated issues, and contribute to risk mitigation through policies and procedures aligned to control and governance.
Take ownership for managing risk and strengthening controls related to the work performed.
Perform closely related work requiring understanding of how sub-function areas coordinate toward organisational objectives.
Collaborate with other areas to stay aligned with business activity and strategy.
Conduct complex analysis of data from multiple internal and external sources to solve problems creatively and effectively.
Communicate complex information and influence stakeholders to achieve outcomes.

Technologies

Retrieval-Augmented Generation (RAG)
Kubernetes
Amazon EKS
CI/CD pipelines
Infrastructure-as-code
VPC architecture
API gateways
DNS
MLOps
LLMOps
Model versioning
Observability
Rollback

Benefits

Eligible for incentives pursuant to the Barclays Employee Referral Program.

Purpose of the role

Use innovative data analytics and machine learning to extract valuable insights from the bank’s data reserves. Apply those insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.

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7d ago

Front-End AI Engineer: Agentic AI Studio & Agentic AI as a Service Specialist

Accenture Mountain View, CA

Mountain View, CA

7d ago

$59k - $206k/yr Full time Agentic Ai Ai Agent Ai Agent Engineering

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Job Description

Accenture is looking for a front-end engineer to help build and evolve its Agentic AI Studio and to deliver Agentic AI-as-a-Service front-end experiences from ideation through production. This onsite role in Mountain View, CA focuses on user-facing interfaces for conversational, graphical, and multimodal interactions with AI agents, along with the visualization and collaboration layers that make agent outputs usable.

In this position, you will design practical UI for human-AI collaboration, create dashboards that communicate agent performance and business impact, and integrate front-end applications with APIs, backend services, LLMs, and enterprise systems. You will also contribute to reusable UI components and design systems while collaborating across UX/UI design, AI research, product, and engineering teams.

Responsibilities

Design and develop intuitive graphical user interfaces (GUIs) for conversational, visual, and multimodal interactions with AI agents.
Build interfaces that support human-AI collaboration, including feedback, clarification, approvals, supervision, intervention, and escalation.
Create user experiences that explain AI-generated insights, recommendations, decisions, and actions.
Develop AI-assisted agent development experiences, such as automatically generated workflows, conversational configuration, and iterative refinement.
Build visual tools for testing, debugging, simulation, and monitoring to evaluate and improve agent behavior.
Design interactive dashboards and information visualizations communicating agent performance, operational status, and business impact.
Enable users to explore AI-generated insights, identify trends, investigate issues, and support informed decision-making.
Create customizable dashboards tailored for business leaders, AI creators, operational teams, and other stakeholders.
Deliver client-facing Agentic AI applications addressing specific business challenges and workflows.
Integrate front-end applications with APIs, backend services, LLMs, AI agents, and enterprise systems.
Develop and maintain reusable UI components, visualization libraries, and design systems.
Optimize for performance, responsiveness, accessibility, security, reliability, and maintainability.
Collaborate with UX/UI designers, AI researchers, product teams, and engineers to prototype, evaluate, and refine AI experiences.
Participate in code reviews, testing, documentation, continuous integration, and production releases.

Requirements

Minimum 3 years of experience as a front-end, full-stack, or software engineer building and supporting production software applications.
Minimum 3 years applying computer science fundamentals, including software architecture, system design, and programming.
Minimum 2 years developing modern web applications using JavaScript, TypeScript, React, Next.js, Angular, Vue, or similar frameworks.
Experience designing and implementing graphical user interfaces, interactive web applications, or data visualization interfaces.
Minimum 2 years building and deploying applications in cloud environments.
Bachelor’s degree or equivalent (minimum 12 years) work experience. If an Associate’s Degree is held, minimum 6 years work experience is required.

Technologies

JavaScript, TypeScript, React, Next.js, Angular, Vue, HTML5, CSS3, Material UI, Ant Design, Tailwind CSS, Figma, D3.js, Recharts, Plotly.js, Apache ECharts, Chart.js, Highcharts, React Flow, Cytoscape.js, Python, Java, C++, Clojure, LLM APIs, Generative AI, AI agents

Benefits

Medical, dental, vision, life, and long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

Bonus Points

Extensive experience in one or more programming languages such as Python, Java, C++, or Clojure.
Strong proficiency in JavaScript, TypeScript, React, Next.js, HTML5, CSS3, and modern front-end development practices.
Experience creating intuitive, visually compelling, responsive, production-ready graphical user interfaces.
Familiarity with UI frameworks and design systems such as Material UI, Ant Design, and Tailwind CSS.
Experience translating UX/UI designs from Figma into production-ready applications.
Understanding of human-centered design, usability, accessibility, and Human-Computer Interaction (HCI) principles.
Hands-on experience developing interactive dashboards, data visualizations, exploratory analytics interfaces, or complex information displays.
Proficiency with visualization libraries including D3.js, Recharts, Plotly.js, Apache ECharts, Chart.js, or Highcharts.
Experience building interactive graph, network, or workflow visualizations using React Flow, Cytoscape.js, or similar tools.
Ability to translate complex data, relationships, and AI-generated insights into clear, actionable, and engaging visual experiences.
Experience developing applications powered by Generative AI, LLM APIs, AI agents, or agentic AI systems.
Entrepreneurial mindset, with a passion for emerging technologies, rapid innovation, and delivering tangible business outcomes.
Master’s degree or higher in Computer Science, Software Engineering, Human-Computer Interaction, Information Visualization, or a related field.

Travel may be required: travel amount varies from 0 to 100% depending on business need and client requirements.

Compensation: USD 59,100 - 205,800 per year.

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12d ago

FLEX Software Engineer, Conversational AI and Intelligent Search

Marriott International, Inc Bethesda, MD 📍 MD Remote

Bethesda, MD

12d ago

$41 - $69/hr Full time Backend Developer Agentic Ai Ai Agent

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Job Description

Marriott International is seeking a temporary FLEX Software Engineer focused on conversational AI and intelligent search. This remote-based role supports the design, build, test, and operation of production-grade AI experiences, including AI agents and retrieval workflows that bring generative AI capabilities into real customer environments.

Responsibilities

Design, build, test, deploy, and operate production-grade conversational AI applications, intelligent search experiences, and AI agents.
Develop multi-turn workflows, agent routing, structured tool calling, memory, and context-management capabilities.
Build retrieval-augmented generation and intelligent search solutions using embeddings, vector retrieval, hybrid search, reranking, and grounding techniques.
Integrate AI applications with internal APIs, search platforms, databases, model providers, and external services.
Develop scalable APIs, streaming interfaces, asynchronous workflows, and event-driven backend services.
Implement prompt management, model configuration, structured outputs, safety guardrails, authentication, authorization, and secure data-handling practices.
Improve response accuracy, grounding, relevance, personalization, latency, scalability, and cost efficiency through measurement and iterative engineering.
Create unit, integration, contract, end-to-end, and automated regression tests for AI applications and supporting services.
Partner with Quality Engineering to develop evaluation datasets, release-quality thresholds, and repeatable AI evaluation and experimentation practices.
Implement logging, metrics, distributed tracing, alerting, dashboards, and production diagnostics using OpenTelemetry and application-performance monitoring platforms.
Troubleshoot complex production issues across models, prompts, application code, infrastructure, data stores, and downstream dependencies, including root-cause analysis.
Participate in architecture reviews, code reviews, release planning, CI/CD implementation, progressive delivery, and production support.
Evaluate emerging generative AI technologies and make pragmatic architecture and implementation decisions aligned with business, security, reliability, and operational requirements.
Collaborate across Product, Engineering, Quality Engineering, Security, Platform, and Operations teams to deliver inclusive, accessible, high-traffic customer experiences.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field, or a high school diploma/GED with an additional 4 years of professional experience.
2+ years of professional software engineering experience.
Programming experience in Python, Java, JavaScript, TypeScript, or a comparable language, including production experience building and operating backend services, APIs, cloud-native applications, containers, Kubernetes, distributed systems, and automated CI/CD pipelines.
Hands-on experience developing generative AI, conversational AI, intelligent search, retrieval-augmented generation, or agent-based applications, including model APIs, prompt engineering, tool calling, structured outputs, embeddings, retrieval, context management, testing, observability, secure development, and sensitive-data handling.

Technology Stack

Python, Java, JavaScript, TypeScript
Kubernetes, CI/CD, containers
Retrieval-augmented generation, embeddings, vector retrieval, hybrid search, reranking
OpenTelemetry, application-performance monitoring platforms
LangChain, LlamaIndex, Semantic Kernel, AutoGen, Temporal
Vector databases, LLM-as-judge patterns, caching
Prompt-injection defenses, content safety, red-team testing
Feature flags, progressive delivery, canary deployments

Preferred Candidate Profile

Experience building multi-agent or workflow-orchestrated AI systems using frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, Temporal, or comparable technologies.
Experience with vector databases, hybrid search, reranking, retrieval optimization, AI evaluation, LLM-as-judge patterns, experimentation, latency and token optimization, caching, and cost management.
Experience with responsible AI practices, including prompt-injection defenses, content safety, red-team testing, OpenTelemetry, application-performance monitoring, canary deployments, feature flags, progressive delivery, and localized, accessible, high-traffic customer applications.

Benefits

401(k) plan and stock purchase plan
Discounts at Marriott properties
Commuter benefits
Employee assistance plan and childcare discounts
Medical, dental, vision
Health care flexible spending account and dependent care flexible spending account
Life insurance, disability insurance, accident insurance
Adoption expense reimbursements and paid parental leave
Washington Applicants Only: paid sick leave, 0.0384 PTO balance for every hour worked, and eligibility to receive a minimum of 9 holidays annually

Additional Information

Job Number: 26123873
Job Category: Information Technology
Location: 7750 Wisconsin Avenue, Bethesda, MD 20814, United States
Schedule: Full Time
Located Remotely: Y
Position Type: Management
Pay Range: $41.97-$69.23 per hour (USD 41 - 69 per hourly)
Temporary position; assignment duration through September 11, 2027
Expiration Date: 11/10/2026
Marriott HQ supports a hybrid work environment for HQ-based roles; remote roles are clearly identified in the job posting.

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15d ago

Conversational AI Engineer

Capgemini Atlanta, GA

Atlanta, GA

15d ago

$80k - $90k/yr Full time Artificial Intelligence Conversational Ai Generative AI

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Job Description

Capgemini is seeking a Conversational AI Engineer in Atlanta, GA (onsite) to design, build, and deploy production-ready conversational AI solutions. The role focuses on leveraging LLMs, NLP, ML/GenAI, RAG architectures, and cloud deployment, along with development of Angular-based web experiences and end-to-end AI/ML lifecycle management.

Responsibilities

Design, develop, and deploy conversational AI solutions using Large Language Models (LLMs) such as GPT, Llama, and other foundation models.
Build intelligent chatbots, virtual assistants, and AI-powered applications for enterprise use cases.
Implement Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies.
Create prompt engineering strategies and optimize prompts to improve response quality, accuracy, and user experience.
Evaluate, fine-tune, and optimize LLMs to support business-specific applications.
Apply NLP techniques including intent recognition, text classification, sentiment analysis, entity extraction, summarization, and semantic search.
Use frameworks such as TensorFlow, PyTorch, and other AI/ML platforms to build scalable solutions.
Analyze large datasets and drive continuous model improvement through experimentation and optimization.
Manage the end-to-end lifecycle of AI and machine learning models using MLflow or similar MLOps tools.
Deploy, monitor, and maintain production-grade AI/GenAI applications to ensure operational excellence.
Integrate conversational AI capabilities into modern web applications using Angular.
Develop intuitive and responsive user interfaces for AI-powered experiences.
Collaborate with backend and AI teams to connect LLM and ML services with enterprise applications.
Implement real-time conversational experiences and intelligent user interactions.
Validate and review LLM solution architectures to support performance, governance, and scalability.
Deploy AI and machine learning models on cloud platforms such as Azure, AWS, or Google Cloud Platform.
Stay current with advancements in Generative AI, Conversational AI, LLMs, NLP, and emerging AI technologies.
Develop proof-of-concepts, prototypes, and pilot solutions to assess new technologies.

Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
5+ years of hands-on experience in AI development, data analysis, and machine learning.
Proven experience building and deploying production-grade AI/ML solutions.
Strong expertise in Conversational AI, Generative AI, NLP, and Large Language Models (LLMs).
Experience with LangChain or similar LLM orchestration frameworks.
Hands-on experience implementing RAG solutions using vector databases.
Experience with GPT, Llama, or other commercial/open-source LLMs.
Strong proficiency in Python and software engineering best practices.
Experience with Angular and modern web application development.
Knowledge of MLflow or similar MLOps platforms for model lifecycle management.
Experience with TensorFlow, PyTorch, or equivalent machine learning frameworks.
Familiarity with Azure, AWS, or Google Cloud services for AI deployment and scaling.

Technologies

Large Language Models (LLMs), GPT, Llama
Natural Language Processing (NLP), Machine Learning, Generative AI
Retrieval-Augmented Generation (RAG), vector databases, semantic search technologies
TensorFlow, PyTorch
MLflow, LangChain
Python, Angular
Azure, AWS, Google Cloud Platform

Compensation

USD 80,000 - 90,000 per year

Benefits

Paid time off based on employee grade (A-F), defined by policy: Vacation 12-25 days depending on grade, company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

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15d ago

Sr. Machine Learning Engineer

AppFolio Inc Atlanta, GA

Atlanta, GA

15d ago

$167k - $230k/yr Full time Agentic Ai Platform Ai Agent Platform Ai Agent Systems

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Job Description

AppFolio is hiring a Senior Machine Learning Engineer to design and ship production voice and conversational AI agents within the Realm-X AI-native platform.

Responsibilities

Architect and ship voice and text agent pipelines for real-time, multi-turn customer interactions
Make principled trade-offs between reasoning depth and latency across frontier LLMs, smaller models, and routing strategies
Lead a small pod of ML and platform engineers; improve agent evaluation, observability, and incident response
Partner with Product and Voice channel teams to define KPIs, eval harnesses, and acceptance criteria for agent quality
Drive selective SLM fine-tuning and inference optimization to reduce voice latency and cost
Turn cutting-edge agent and voice research into reliable, low-latency, multi-channel experiences at scale across AppFolio’s customer base

Requirements

5+ years building and scaling web-based applications, ideally in a SaaS environment
Shipped production AI agents serving real users in voice and/or text channels
Systems mindset: think in pipelines and systems, not only models
Sound engineering judgment
Humility, collaboration, and low-ego approach; ability to elevate others
Values work-life balance as a basis for sustained performance
Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks)
Hands-on with Voice-to-Voice models and traditional TTS/STT pipelines, including trade-offs between end-to-end voice models and modular STT + LLM + TTS architectures
Strong understanding of LLM reasoning behavior, tool use, structured output, and reasoning-vs-latency trade-offs across providers
Production experience with Twilio (or comparable telephony) and AWS
Expert Python, async programming, and WebSockets for real-time bidirectional streaming
Foundation in deep learning, model evaluation, and inference optimization; deploy with Docker on AWS
Experience leading a small team, mentoring engineers, and partnering credibly with Product and Design

Technologies

Python
Async programming
WebSockets
LangChain
LangGraph
LangSmith
LangChain Deep Agents
Voice-to-Voice models
TTS
STT
LLM
Small Language Models (SLM)
Twilio
AWS
Docker
Real-time, bidirectional streaming

Nice to Have

Bachelor’s, Master’s, or Ph.D. in Computer Science or a related technical discipline
Experience fine-tuning Small Language Models for domain-specific voice applications
Familiarity with RAG over structured business data and tool-using agents over API surfaces
Experience in regulated or customer-facing industries with strict reliability requirements
Publicly verifiable work on GitHub, open-source agent frameworks, or community competitions

Location

Atlanta, GA (onsite)
Find out more about locations by visiting the company site
All late-stage candidates complete an in-person meeting with an AppFolian as part of the hiring process

Compensation & Benefits

Base pay: $167,200 - $229,900 per year
Actual compensation depends on factors including skills, education, experience, and internal equity
Regular full-time employees are eligible for benefits (details available via the provided link)

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19d ago

Custom Software Engineer

Experis St. Louis, MO 🇺🇸 Remote

St. Louis, MO

19d ago

$55+/hr Contract Artificial Intelligence Chatbot Chatbot Development

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Job Description

Experis is hiring a Contract Application Developer for a role based in St. Louis, MO with remote flexibility. This position centers on migrating and modernizing an existing Google Dialogflow chatbot to Google Conversational Agents (GECX), with hands-on work across development, troubleshooting, and readiness support from testing through production.

In this contract engagement, you will help advance the chatbot from its current platform to GECX by building and configuring conversational functionality, supporting modernization efforts, and participating in technical planning and solution reviews.

Responsibilities

Support the migration of an existing chatbot from Google Dialogflow to Google Conversational Agents (GECX)
Develop, configure, and implement chatbot functionality within the target platform
Assist with software modernization and platform upgrade activities
Participate in technical discussions, solution design reviews, and implementation planning
Troubleshoot and resolve chatbot functionality issues during migration and testing
Support deployment, testing, and production readiness efforts