SnapCode Inc
AI Application/GenAI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Application/GenAI Engineer in Pleasanton, California, with a contract length of "unknown" and a pay rate of "unknown." Requires 3-6 years in AI/ML, advanced prompt engineering, proficiency in Python and LangChain, and experience with RAG pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 19, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Pleasanton, CA
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🧠 - Skills detailed
#NLP (Natural Language Processing) #ML (Machine Learning) #AI (Artificial Intelligence) #A/B Testing #Scala #API (Application Programming Interface) #Langchain #Python
Role description
Title: AI Application/GenAI Engineer
Location: Pleasanton, California (hybrid work)
Technical Overview
We're seeking a highly skilled AI Application Engineer to lead the architecture and execution of advanced LLM-driven systems, including prompt engineering pipelines, evaluation frameworks, RAG workflows, and LangChain-based orchestration. In this role, you'll design and test prompts for style, tone, and accuracy, implement rigorous A/B and statistical evaluation frameworks, and deploy LLM-powered features into production.
Core Responsibilities
• You'll work cross-functionally with ML engineers, product managers, and backend teams to deliver scalable, prompt-driven solutions for enterprise applications.
• Responsibilities include building retrieval-augmented generation (RAG) pipeline, developing prompt evaluation systems using PromptEval or similar tools, and orchestrating LLM workflows with LangChain.
• This role demands a blend of deep prompt engineering expertise, practical Python development skills, and a strong analytical mindset to optimize prompt performance and user experience in real-world systems.
Required Expertise
• 3 - 6 years in AI/ML, NLP or GenAI roles.
• Advanced knowledge of prompt engineering strategies and heuristics.
• Proficient with LangChain (or similar), Python and API development.
• Solid experience building RAG pipelines with vector DBs.
• Strong analytical mindset with an A/B testing and evaluation-driven approach.
Title: AI Application/GenAI Engineer
Location: Pleasanton, California (hybrid work)
Technical Overview
We're seeking a highly skilled AI Application Engineer to lead the architecture and execution of advanced LLM-driven systems, including prompt engineering pipelines, evaluation frameworks, RAG workflows, and LangChain-based orchestration. In this role, you'll design and test prompts for style, tone, and accuracy, implement rigorous A/B and statistical evaluation frameworks, and deploy LLM-powered features into production.
Core Responsibilities
• You'll work cross-functionally with ML engineers, product managers, and backend teams to deliver scalable, prompt-driven solutions for enterprise applications.
• Responsibilities include building retrieval-augmented generation (RAG) pipeline, developing prompt evaluation systems using PromptEval or similar tools, and orchestrating LLM workflows with LangChain.
• This role demands a blend of deep prompt engineering expertise, practical Python development skills, and a strong analytical mindset to optimize prompt performance and user experience in real-world systems.
Required Expertise
• 3 - 6 years in AI/ML, NLP or GenAI roles.
• Advanced knowledge of prompt engineering strategies and heuristics.
• Proficient with LangChain (or similar), Python and API development.
• Solid experience building RAG pipelines with vector DBs.
• Strong analytical mindset with an A/B testing and evaluation-driven approach.
