

Mindlance
Engineering Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a 6-month remote contract for a Sr AI Engineer focused on voice AI, requiring 1–3 years in AI Engineering or Data Science, proficiency in Python and AI frameworks, and skills in prompt engineering and model evaluation.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
440
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🗓️ - Date
November 13, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Irvine, CA
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🧠 - Skills detailed
#Python #Langchain #AI (Artificial Intelligence) #Automatic Speech Recognition (ASR) #Data Science #ML (Machine Learning) #Model Evaluation #A/B Testing #Regression
Role description
Job Details:
Job Title: Sr AI Engineering I – Voice AI
Job Duration: 6-month contract (Possibility for extension)
Job Location: 100% Remote Irvine CA (Occasional travel to test markets or pilot sites may be required)
We are hiring for a Sr AI Engineer to help design and improve voice-based AI agents for drive-thru operations.
This role is perfect for early-career AI engineers or data scientists looking to expand their skills in LLM-based interaction design, speech system optimization, and production-quality prompt development.
You’ll collaborate closely with advanced senior AI Engineers, MLEs, and QA to iterate on agent prompts, tune foundational models, and contribute to the overall agent experience for customers and employees.
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Key Responsibilities:
Prompt Engineering & Agent Design:
Author and refine prompt instructions, chaining logic, and fallback strategies
Design and test multi-turn conversation flows aligned to brand voice
Build and maintain system personas and error handling routines
Model Tuning & Evaluation:
Fine-tune LLMs, ASR models, and embedding systems under supervision
Assist in running experiments using LoRA, distillation, or pruning methods
Contribute to agent evaluation metrics, regression tracking, and A/B tests
Cross-Functional Collaboration
Work closely with MLEs on model integration and performance tuning
Partner with QA and PMs to improve agent usability, reliability, and task success rates
Help manage RAG components, context retrieval chains, and structured data inputs
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Required Qualifications:
1–3 years’ experience in AI Engineering, Data Science, or ML-related roles
Proficiency in Python and AI frameworks (e.g., LangChain, HuggingFace, OpenAI APIs)
Understanding of prompt engineering, agent flows, and model evaluation principles
Interest in LLM tuning, ASR modeling, or speech interaction design
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Preferred Qualifications:
Experience with RAG, vector search, embeddings, or retrieval-based models
Exposure to ASR systems or speech pipelines
Familiarity with LoRA, distillation, or low-latency AI architectures
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Location & Travel:
This role is remote
Occasional travel to test markets or pilot sites may be required
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Job Details:
Job Title: Sr AI Engineering I – Voice AI
Job Duration: 6-month contract (Possibility for extension)
Job Location: 100% Remote Irvine CA (Occasional travel to test markets or pilot sites may be required)
We are hiring for a Sr AI Engineer to help design and improve voice-based AI agents for drive-thru operations.
This role is perfect for early-career AI engineers or data scientists looking to expand their skills in LLM-based interaction design, speech system optimization, and production-quality prompt development.
You’ll collaborate closely with advanced senior AI Engineers, MLEs, and QA to iterate on agent prompts, tune foundational models, and contribute to the overall agent experience for customers and employees.
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Key Responsibilities:
Prompt Engineering & Agent Design:
Author and refine prompt instructions, chaining logic, and fallback strategies
Design and test multi-turn conversation flows aligned to brand voice
Build and maintain system personas and error handling routines
Model Tuning & Evaluation:
Fine-tune LLMs, ASR models, and embedding systems under supervision
Assist in running experiments using LoRA, distillation, or pruning methods
Contribute to agent evaluation metrics, regression tracking, and A/B tests
Cross-Functional Collaboration
Work closely with MLEs on model integration and performance tuning
Partner with QA and PMs to improve agent usability, reliability, and task success rates
Help manage RAG components, context retrieval chains, and structured data inputs
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Required Qualifications:
1–3 years’ experience in AI Engineering, Data Science, or ML-related roles
Proficiency in Python and AI frameworks (e.g., LangChain, HuggingFace, OpenAI APIs)
Understanding of prompt engineering, agent flows, and model evaluation principles
Interest in LLM tuning, ASR modeling, or speech interaction design
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Preferred Qualifications:
Experience with RAG, vector search, embeddings, or retrieval-based models
Exposure to ASR systems or speech pipelines
Familiarity with LoRA, distillation, or low-latency AI architectures
\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
Location & Travel:
This role is remote
Occasional travel to test markets or pilot sites may be required
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”






