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Senior Integration Engineer
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This role calls for 4 or more years in a customer-facing technical role such as solutions engineer, integration engineer or technical consultant for an API or identity product. You’ve…
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Lead Software Reverse Engineer
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- $36 to $40 USD / hour
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Forward-Deployed Engineer
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Data Center Logistics Associate - 2nd Shift
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Staff Engineer / AI Builder - Mountain View
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Senior Data Engineer
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Principal Modeling & Simulation Software Engineer
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Bright Vision Technologies

Conversational AI Engineer

Remote, United States

$130,000 to $180,000 USD / year

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Job details

Pay: $130,000 to $180,000 USD / year
Apply by: Jan 31, 2027
Posting language: English
Posted: Nov 2, 2026

Original job description

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title Conversational AI Engineer Location: Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $130,000–$180,000 Annually (based on experience) Experience Required: 10+ Years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary Bright Vision Technologies is seeking a highly experienced Conversational AI Engineer with 10+ years of software engineering experience, including extensive expertise in Large Language Models (LLMs), agentic AI, and enterprise AI application development. The ideal candidate will define and lead the strategy, architecture, and engineering best practices for designing intelligent conversational systems, prompt engineering frameworks, and AI-powered applications. This role combines deep technical expertise in modern LLMs with the ability to build reusable AI platforms, evaluation frameworks, and developer tooling that enable scalable, secure, and production-ready conversational AI solutions.

Key Responsibilities

Design, develop, and deploy enterprise-scale conversational AI applications powered by Large Language Models (LLMs).
Define prompt engineering standards, reusable prompt libraries, and best practices for enterprise AI development.
Architect and implement agentic AI workflows, multi-agent systems, tool orchestration, and Retrieval-Augmented Generation (RAG) solutions.
Build scalable evaluation frameworks for prompt quality, hallucination detection, response accuracy, latency, and user experience.
Develop reusable SDKs, APIs, and developer tooling that accelerate AI application development across engineering teams.
Collaborate with product managers, AI researchers, software engineers, and business stakeholders to deliver production-ready AI solutions.
Implement AI safety, Responsible AI, security, compliance, guardrails, and governance practices for enterprise deployments.
Optimize LLM performance, inference efficiency, prompt execution, caching strategies, and operational scalability.
Mentor engineers and establish engineering standards for conversational AI architecture, testing, deployment, and monitoring.
Evaluate emerging LLMs, agent frameworks, and AI technologies to drive innovation and continuous platform improvement.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related technical discipline.
10+ years of professional software engineering experience, including significant experience building and deploying LLM-powered applications.
Proven track record of delivering enterprise-scale conversational AI or LLM-based products in production.
Deep expertise with modern LLM APIs and models such as OpenAI GPT, Anthropic Claude, Google Gemini, Llama, or Mistral.
Strong experience with agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, or AutoGen.
Strong programming skills in Python and experience building scalable backend services and APIs.
Experience implementing Retrieval-Augmented Generation (RAG), vector databases, embeddings, prompt engineering, and AI orchestration pipelines.
Strong understanding of AI evaluation, model monitoring, observability, Responsible AI, and enterprise AI governance.
Excellent communication, collaboration, analytical, and technical leadership skills.

Preferred Qualifications

Public technical writing, conference presentations, open-source contributions, or thought leadership in LLM application development.
Experience designing multi-agent architectures, autonomous AI workflows, and complex tool-use systems.
Familiarity with LLM fine-tuning, parameter-efficient tuning (LoRA/QLoRA), and model alignment techniques.
Experience developing AI solutions for customer support, coding assistants, enterprise search, analytics, knowledge management, or business automation.
Experience integrating conversational AI into enterprise applications with strict compliance requirements such as HIPAA, PCI-DSS, SOC 2, or FedRAMP.
Experience with Kubernetes, MLOps, CI/CD pipelines, cloud platforms (AWS, Azure, or GCP), and production AI infrastructure.

If Interested, Please apply to the job, Email your Resume to jaya@bvteck.com or call us at 908-505-3545

Bright Vision Technologies is an Equal Opportunity Employer.Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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