Mindex

Senior AI Conversation Engineer

Mindex

full-time

Posted on:

Location Type: Remote

Location: Remote • New York • 🇺🇸 United States

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Salary

💰 $90,000 - $120,000 per year

Job Level

Senior

Tech Stack

Python

About the role

  • 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.

Requirements

  • Bachelor’s Degree in Computer Science or equivalent experience preferred.
  • 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.
  • Practical experience with at least one **conversation / agent platform** (e.g. Dialogflow preferred; or other chatbot/voice-bot platforms / agent frameworks). Ability to build, deploy, and maintain agents on such platforms.
  • 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.
Benefits
  • Health insurance
  • Paid holidays
  • Flexible time off
  • 401k retirement savings plan and company match with pre-tax and ROTH options
  • Dental insurance
  • Vision insurance
  • Employer paid disability insurance
  • Life insurance and AD&D insurance
  • Employee assistance program
  • Flexible spending accounts
  • Health savings account with employer contributions
  • Accident, critical illness, hospital indemnity, and legal assistance
  • Adoption assistance
  • Domestic partner coverage
  • Tickets to local sporting events
  • Teambuilding events
  • Holiday and celebration parties
  • Leadership training
  • License to Udemy online training courses
  • Growth opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Pythonconversation architectureprompt engineeringmodel tuningAPI integrationconversation designnatural language understandingnatural language generationuser experiencedata pipelines
Soft skills
problem-solvingcommunicationcollaborationcuriosityuser-centered design
Certifications
Bachelor’s Degree in Computer Science