Conversational AI Engineer Jobs in USA with Visa Sponsorship
Conversational AI Engineers are in high demand from U.S. employers willing to sponsor H-1B visa, O-1 visa, and EB-1 visas. The role qualifies as a specialty occupation, and LCA filings for AI engineering positions have grown sharply over the past two years. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsJob Title: Conversational AI / Generative AI Engineer (Voice & Chatbot Solutions)
Location: Remote
Experience: 5–10 years overall experience with 3+ years in Conversational AI / GenAI solutions
Role Overview
We are seeking an experienced AI / Generative AI Engineer to design, develop, and deploy intelligent voice and chatbots powered by LLMs and modern AI frameworks. The ideal candidate has hands-on experience with Dialogflow (CX/ES), LangChain, and building production-grade conversational AI systems that integrate with enterprise platforms and APIs. This role involves working closely with product, engineering, and business stakeholders to deliver scalable, secure, and high-quality conversational AI solutions.
Key Responsibilities
- Design, build, and deploy AI-driven voice and chatbots for customer support, operations, and enterprise use cases
- Develop conversational workflows using Dialogflow (CX/ES), including intents, entities, contexts, and fulfillment
- Integrate Large Language Models (LLMs) into chatbot architectures using LangChain
- Build RAG (Retrieval Augmented Generation) pipelines using vector databases (Pinecone, FAISS, Chroma, etc.)
- Implement prompt engineering, conversation memory, tool calling, and agent-based workflows
- Integrate bots with backend systems, APIs, databases, and third-party services
- Optimize bot performance for accuracy, latency, cost, and scalability
- Ensure best practices around security, data privacy, and compliance
- Monitor, evaluate, and continuously improve chatbot performance using analytics and user feedback
- Collaborate with cross-functional teams to translate business requirements into AI solutions
Required Skills & Qualifications
Core AI / GenAI Skills
- Strong experience in AI / Generative AI engineering
- Hands-on experience with LangChain for building LLM-powered applications
- Experience working with LLMs (OpenAI, Gemini, Claude, LLaMA, etc.)
- Solid understanding of prompt engineering, embeddings, RAG, and agents
Conversational AI
- Proven experience building chatbots and/or voice bots
- Hands-on experience with Dialogflow (CX or ES) (preferred)
- Experience with speech-to-text (STT) and text-to-speech (TTS) pipelines is a plus
Programming & Backend
- Strong proficiency in Python (required)
- Experience building APIs using FastAPI / Flask
- Familiarity with cloud platforms (GCP preferred, AWS/Azure acceptable)
- Experience with databases (SQL/NoSQL) and vector stores
Nice to Have
- Experience with call center or IVR systems
- Exposure to LangGraph, agent frameworks, or multi-agent systems
- Knowledge of MLOps / LLMOps practices
- Experience deploying AI solutions in regulated industries (healthcare, finance, etc.)
- UI integration experience (Streamlit, React, or similar)
What We Offer
- Opportunity to work on cutting-edge GenAI and conversational AI solutions
- High ownership and visibility across AI initiatives
- Flexible work environment
- Competitive compensation
Pay: $95,284.97 - $114,751.79 per year
Benefits:
- Health insurance
- Life insurance
Work Location: Remote
Rajesh Tiwari
Phone: 571-475-3533
Email: rajesh.tiwari@nihatech.com
Website:
13221, Woodland Park Rd, Suite 495, Herndon, VA. 20171
Job Title: Conversational AI / Generative AI Engineer (Voice & Chatbot Solutions)
Location: Remote
Experience: 5–10 years overall experience with 3+ years in Conversational AI / GenAI solutions
Role Overview
We are seeking an experienced AI / Generative AI Engineer to design, develop, and deploy intelligent voice and chatbots powered by LLMs and modern AI frameworks. The ideal candidate has hands-on experience with Dialogflow (CX/ES), LangChain, and building production-grade conversational AI systems that integrate with enterprise platforms and APIs. This role involves working closely with product, engineering, and business stakeholders to deliver scalable, secure, and high-quality conversational AI solutions.
Key Responsibilities
- Design, build, and deploy AI-driven voice and chatbots for customer support, operations, and enterprise use cases
- Develop conversational workflows using Dialogflow (CX/ES), including intents, entities, contexts, and fulfillment
- Integrate Large Language Models (LLMs) into chatbot architectures using LangChain
- Build RAG (Retrieval Augmented Generation) pipelines using vector databases (Pinecone, FAISS, Chroma, etc.)
- Implement prompt engineering, conversation memory, tool calling, and agent-based workflows
- Integrate bots with backend systems, APIs, databases, and third-party services
- Optimize bot performance for accuracy, latency, cost, and scalability
- Ensure best practices around security, data privacy, and compliance
- Monitor, evaluate, and continuously improve chatbot performance using analytics and user feedback
- Collaborate with cross-functional teams to translate business requirements into AI solutions
Required Skills & Qualifications
Core AI / GenAI Skills
- Strong experience in AI / Generative AI engineering
- Hands-on experience with LangChain for building LLM-powered applications
- Experience working with LLMs (OpenAI, Gemini, Claude, LLaMA, etc.)
- Solid understanding of prompt engineering, embeddings, RAG, and agents
Conversational AI
- Proven experience building chatbots and/or voice bots
- Hands-on experience with Dialogflow (CX or ES) (preferred)
- Experience with speech-to-text (STT) and text-to-speech (TTS) pipelines is a plus
Programming & Backend
- Strong proficiency in Python (required)
- Experience building APIs using FastAPI / Flask
- Familiarity with cloud platforms (GCP preferred, AWS/Azure acceptable)
- Experience with databases (SQL/NoSQL) and vector stores
Nice to Have
- Experience with call center or IVR systems
- Exposure to LangGraph, agent frameworks, or multi-agent systems
- Knowledge of MLOps / LLMOps practices
- Experience deploying AI solutions in regulated industries (healthcare, finance, etc.)
- UI integration experience (Streamlit, React, or similar)
What We Offer
- Opportunity to work on cutting-edge GenAI and conversational AI solutions
- High ownership and visibility across AI initiatives
- Flexible work environment
- Competitive compensation
Pay: $95,284.97 - $114,751.79 per year
Benefits:
- Health insurance
- Life insurance
Work Location: Remote
Rajesh Tiwari
Phone: 571-475-3533
Email: rajesh.tiwari@nihatech.com
Website:
13221, Woodland Park Rd, Suite 495, Herndon, VA. 20171
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Get Access To All JobsTips for Finding Visa Sponsorship as a Conversational AI Engineer
Emphasize NLP and LLM depth, not breadth
Employers sponsoring visas want specialists, not generalists. Highlight concrete work with large language models, fine-tuning pipelines, or dialogue systems. Specific technical depth makes the specialty occupation case easier for immigration counsel to build.
Target companies with active LCA filings
Companies that have filed Labor Condition Applications for AI or machine learning roles in the past 12 months are far more likely to sponsor again. Search DOL disclosure data to confirm a company's sponsorship history before investing time in an application.
Frame your degree field precisely
Computer Science, Computational Linguistics, and AI or Machine Learning degrees map cleanly to this role. If your degree is in a related field like Mathematics or Cognitive Science, document how your coursework and experience directly support conversational AI work.
Get your portfolio in GitHub-shareable format
Hiring managers for AI roles assess deployed projects, not just resumes. A public repo showing a working chatbot, voice assistant, or dialogue model signals real capability and accelerates hiring decisions, which matters when H-1B cap deadlines are involved.
Understand the H-1B lottery timeline before applying
H-1B registration opens in March for an October 1 start date. If you need sponsorship by a specific date, work backward from that deadline. Missing the registration window means waiting a full year, so timing your job search accordingly is critical.
Ask directly about sponsorship in early conversations
Many AI teams want to hire but have not yet confirmed sponsorship budget or legal counsel availability. Raising it early in the recruiting process surfaces real blockers before you invest weeks in interviews and technical assessments with no viable path forward.
Frequently Asked Questions
Does a Conversational AI Engineer role qualify as a specialty occupation for H-1B purposes?
Yes. Conversational AI Engineer roles consistently qualify as specialty occupations because they require a bachelor's degree or higher in a specific technical field such as Computer Science, Computational Linguistics, or Artificial Intelligence. USCIS has approved H-1B visa petitions for AI and NLP engineering roles at a high rate, particularly when the job description clearly requires specialized theoretical and applied knowledge in language model development or dialogue system architecture.
What visa types are realistic for Conversational AI Engineers seeking U.S. work authorization?
H-1B is the most common path, but the annual lottery creates uncertainty. O-1A is a strong alternative for engineers with published research, patents, or recognition from the AI community. Australians can use the E-3 visa, which has no lottery and a fast approval timeline. Canadian and Mexican nationals can explore the TN visa under the Computer Systems Analyst or Engineer category, depending on role specifics.
How can I find U.S. employers willing to sponsor a visa for this role?
Migrate Mate is the most direct way to find Conversational AI Engineer roles from employers actively open to visa sponsorship. Beyond that, DOL LCA disclosure data shows which companies have filed for similar roles in recent years, giving you a verifiable list of sponsorship-willing employers to prioritize in your search.
Does my degree field need to match exactly, or can related fields qualify?
An exact match is not required, but the connection needs to be defensible. Computer Science, Machine Learning, AI, and Computational Linguistics map directly to the role. Degrees in Mathematics, Electrical Engineering, or Cognitive Science can work if your coursework or graduate specialization involved natural language processing or machine learning. The weaker the field match, the more your experience and job duties need to close the gap in the H-1B petition.
Are startups realistic sponsorship options for Conversational AI Engineers, or should I focus on large companies?
Well-funded AI startups are realistic sponsors, particularly Series B and later companies building products around LLMs or voice interfaces. The key variable is whether the company has immigration counsel on retainer and a track record of completing H-1B petitions. Early-stage startups may be willing but lack the infrastructure to execute sponsorship reliably. Ask about their legal counsel and any previous sponsored employees during the interview process.
What is the prevailing wage requirement for sponsored Conversational AI Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.