H-1B Visa Conversational AI Engineer Jobs
Conversational AI Engineer roles sit squarely within H-1B visa specialty occupation requirements, with most positions classified under SOC codes for software developers or AI/ML engineers. Employers filing LCAs for these roles routinely appear in DOL disclosure data, making sponsorship history verifiable before you apply.
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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
See all H-1B Visa Conversational AI Engineer Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Conversational AI Engineer
Align your portfolio to specialty occupation standards
USCIS evaluates whether your role requires a directly related bachelor's degree or higher. Document how your NLP, dialogue systems, or LLM fine-tuning work maps to a specific field, not just general computer science.
Search LCA filings for verified sponsoring employers
Use Migrate Mate to filter employers by H-1B LCA filing history for AI and software engineering roles. DOL disclosure data shows which companies have filed for positions matching your occupation code.
Verify prevailing wage before negotiating your offer
Your employer must certify your salary meets the DOL prevailing wage for your job zone and location. Run your role through the OFLC Wage Search before accepting an offer to confirm the number is defensible.
Target E-Verify enrolled employers for smoother STEM OPT transitions
If you're on OPT and moving toward H-1B sponsorship, your employer must be E-Verify enrolled. Confirm enrollment status during the offer stage, not after you've signed.
Build a degree-to-role equivalency argument in advance
Conversational AI Engineer isn't a rigid degree track. If your degree is in linguistics, cognitive science, or mathematics, prepare a written equivalency narrative mapping coursework to NLP and AI system requirements before your employer files.
Request premium processing at the I-129 filing stage
USCIS offers 15-business-day adjudication for an additional fee. For roles where your OPT expires close to the H-1B start date, premium processing reduces the gap risk your employer needs to manage.
H-1B Visa Conversational AI Engineer: Frequently Asked Questions
Does a Conversational AI Engineer role qualify as an H-1B specialty occupation?
Yes, provided the position requires a bachelor's degree or higher in a directly related field such as computer science, computational linguistics, or artificial intelligence. USCIS scrutinizes job descriptions closely for these roles, so your employer's LCA and I-129 petition should specify the exact technical requirements and degree field, not just a generic engineering title.
How do I find employers who actively sponsor H-1B visas for AI roles?
Search Migrate Mate to browse Conversational AI Engineer positions filtered by employers with verified H-1B LCA filing history. DOL disclosure data is publicly available, and Migrate Mate surfaces it by role and employer so you can prioritize companies that have sponsored similar positions before applying.
What happens to my H-1B if my employer pivots away from conversational AI products?
Your H-1B is tied to the specific role and employer in the approved petition. If your duties change substantially, your employer may need to file an amended I-129. A shift from conversational AI engineering to a general software development role can affect whether the specialty occupation classification still holds, so flag any significant title or duty changes to your employer's immigration counsel promptly.
Can I work on open-source LLM projects while on H-1B sponsorship?
H-1B status permits employment only with your sponsoring employer unless you hold concurrent H-1B approval from a second employer. Unpaid open-source contributions are generally not considered employment, but if you're receiving compensation, equity, or structured contractor arrangements from a separate entity, that requires its own H-1B filing. Confirm the structure with your employer before committing.
How does the DOL prevailing wage requirement affect Conversational AI Engineer offers?
Your employer must certify on the LCA that your salary meets the DOL prevailing wage for your specific SOC code and work location. Conversational AI Engineer roles often map to software developer or AI specialist SOC codes, which carry different wage levels by region. Use the OFLC Wage Search to check the applicable wage tier before your employer submits the LCA, so there are no surprises during filing.