Green Card Conversational AI Engineer Jobs
Conversational AI Engineer roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process, which permanently ties your residency to a U.S. employer rather than a temporary visa cycle. Employers file the I-140 petition after PERM certification, covering natural language processing, dialogue systems, and LLM integration work that consistently meets specialty occupation standards.
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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 Green Card Sponsorship as a Conversational AI Engineer
Document your NLP specialization before applying
PERM requires your employer to prove no qualified U.S. worker is available for your specific role. Detailed records of your work with transformer architectures, intent classification, or dialogue management make that job definition harder to challenge during DOL audit.
Target employers with active PERM filing history
Use Migrate Mate to filter Conversational AI Engineer roles by employers who have previously filed PERM applications, so you're spending time on companies already familiar with the EB-2 and EB-3 sponsorship process rather than educating HR from scratch.
Verify your role maps to the right EB category
EB-2 requires a master's degree or equivalent in a directly related field; EB-3 covers bachelor's-level professionals. Check the O*NET profile for Conversational AI and related SOC codes to confirm which category your combination of degree and experience supports before your employer files.
Request prevailing wage determination early in negotiations
Your employer must submit a prevailing wage request to OFLC before advertising the role for PERM. Cross-check the OFLC Wage Search for your job zone and metro area so your negotiated offer already meets or exceeds that threshold and doesn't delay filing.
Understand how priority date backlogs affect your timeline
EB-2 and EB-3 green card availability depends on your country of birth, not citizenship. If you were born in India or China, your priority date may be years behind the current cutoff, so plan your H-1B visa renewals or other bridging status accordingly while your I-140 is pending.
Prepare a degree equivalency evaluation before the I-140 stage
If your Conversational AI or computer science degree is from outside the U.S., USCIS requires a credential evaluation showing it is equivalent to a U.S. bachelor's or master's degree. Obtain this from a NACES-member evaluator before your employer files the I-140 petition to avoid a Request for Evidence.
Green Card Conversational AI Engineer: Frequently Asked Questions
Does a Conversational AI Engineer role qualify for EB-2 green card sponsorship?
Yes, if the position requires a master's degree or higher in computer science, linguistics, or a related field, it qualifies under EB-2. Roles centered on large language model fine-tuning, dialogue system architecture, or speech recognition research routinely meet this standard. EB-3 covers the same job at the bachelor's degree level, giving employers a fallback if your credentials fit that category instead.
How does PERM green card sponsorship differ from H-1B for this role?
H-1B is a temporary nonimmigrant status capped at 65,000 new slots per year, subject to an annual lottery. PERM-based green card sponsorship has no annual cap at the petition stage and results in permanent residency rather than a renewable temporary status. The tradeoff is timeline: PERM labor certification plus I-140 approval can take one to three years before your priority date becomes current, depending on your country of birth.
What makes a Conversational AI Engineer job description PERM-compliant?
The job description must specify a minimum degree requirement directly tied to the duties, such as a master's in computational linguistics or computer science with a focus on NLP. DOL scrutinizes descriptions that list overly broad or generalist requirements. Your employer's attorney should draft duties around your actual work, such as training intent models, building ASR pipelines, or deploying voice interface systems, not generic software engineering language.
How do I find Conversational AI Engineer jobs where the employer will sponsor a green card?
Search Migrate Mate for Conversational AI Engineer roles filtered by employers with PERM filing history. This saves significant time because most job postings don't advertise green card sponsorship directly, and cold outreach to HR about immigration support rarely works without prior evidence the company has sponsored similar roles.
Can I change employers after my I-140 is approved but before I get my green card?
Yes. Under AC21 portability, once your I-140 has been approved and your priority date has been pending for more than 180 days, you can move to a new employer in a same or similar occupational classification without losing your priority date. For Conversational AI Engineers, a new role in NLP, machine learning, or applied AI research typically satisfies the same-or-similar standard, though your new employer's attorney should confirm the SOC code match.