We're seeking a
highly skilled AI
Application Engineerto 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.
Information
Locations Position Open to Only localsIndustry Information TechnologyStatus OpenJob Age 31 Day'sCreated Date 10/29/2025No.of Positions 1Duration 12Zip Code
