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Mindex · 1 day ago

Artificial Intelligence Engineer

Rochester, New York Metropolitan Area

Full-time

Onsite

Mid, Senior Level

$90K/yr - $120K/yr

5+ years exp

Mindex is a software development company with a rich history of demonstrated software and product development success. They are seeking a skilled Senior AI Conversation Engineer to design, architect, and implement robust conversational AI systems that drive real business value across enterprise systems.

Computer Software

Growth Opportunities

No H1B

Responsibilities

Define conversation flows and dialogue architectures to support multi-turn, context-aware, natural dialogs

Develop, write, and optimize prompts to guide large-language models (LLMs) or other generative models toward accurate, context-appropriate, safe outputs

Fine-tune and/or adjust models (when applicable), including prompt tuning, fine-tuning, or parameter optimization, to align model behavior with product and user goals

Integrate conversational AI with existing backend systems via APIs and data pipelines; ensure seamless data flow, context handling, and retrieval when needed

Iterate on conversation design through testing: run A/B tests, user simulations, evaluate model outputs (with both automated metrics and human review), debug edge cases, and improve performance over time

Collaborate closely with product managers, UX / conversation designers, data engineers, and other stakeholders to define requirements, ensure ethical and safe model behavior, and deliver polished user experiences

Qualification

PythonConversation architecturePrompt engineeringAPI integrationModel tuningConversational agent platformsUser experience designCuriosity about AI/NLPCommunication skillsCollaboration across disciplines

Required

5 plus years of experience in software engineering with a strong focus on Python development and strong problem-solving skills

Demonstrated experience in conversation architecture / design: defining dialogue flows, state/context management, branching logic, user experience considerations in conversational UI

Deep expertise in prompt engineering: writing, testing, and refining prompts to guide large language or generative models toward desired behavior, leveraging techniques like few-shot, zero-shot prompting, chain-of-thought, role prompting, or context conditioning

Experience with model tuning (prompt tuning, fine-tuning, hyperparameter adjustment) or otherwise optimizing model outputs to meet quality, safety, and reliability standards

Experience with API integration; connecting the conversational agent to backend services, databases, or external APIs to fetch or store context, user data, or dynamic content

Solid conversation design experience; understanding of user-centered design, usability, natural language understanding / generation, user experience (UX) considerations, tone and style, context management, fallback and error handling

Strong communication skills, ability to collaborate across disciplines (product, design, engineering, data), and translate technical AI capabilities into user-facing solutions

Curiosity about latest developments in AI / NLP / LLMs, willingness to experiment, learn, and refine prompts / models / flows continually

Preferred

Bachelor's Degree in Computer Science or equivalent experience preferred

Practical experience with at least one conversation / agent platform (e.g. Dialogflow preferred; or other chatbot/voice-bot platforms / agent frameworks)