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AI Conversation Engineer
Location
New York
Posted
115 days ago
Salary
$90K - $140K / year
Seniority
Senior
Job Description
AI Conversation Engineer
Mindex
• Define conversation flows and dialogue architectures to support multi-turn, context-aware, natural dialogs utlizing tools such as Dialogflow CX. • 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. • Apply MLOps best practices to model versioning, testing, monitoring, and deployment. • Experience with CI/CD pipelines using GitHub Actions, GitOps, GCP-native tools, Azure DevOps, and Jenkins is helpful.
Job 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.
- Physical Conditions/Requirements
- Prolonged periods sitting at a desk and working on a computer
- No heavy lifting is expected. Exertion of up to 10 lbs.
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
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