Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. They are seeking a highly experienced Conversational AI Engineer to define and lead the strategy, architecture, and engineering best practices for designing intelligent conversational systems and AI-powered applications.
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
Skills
- 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
- 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
Company Overview