Not specified; not specified; comprehensive health...
Hybrid (up to 2 remote workdays per week)
Python expertise with fastapi or flask
Experience with llms and rag pipelines
Azure cloud environment proficiency
L-Acoustics Inc is seeking an AI Engineer specializing in NLP to design and implement innovative generative AI solutions within their Data & AI team. The ideal candidate will possess strong technical expertise in AI, specifically with LLMs and embedding techniques, and will thrive in a collaborative, innovative work environment
Job Summary
You will design and industrialize agent-based and NLP systems capable of reasoning, planning, and acting autonomously to transform generative AI into scalable products.
The role involves scoping business needs into technical specifications, defining multi-agent architectures, and implementing governance frameworks for security and auditability.
L-Acoustics offers a hybrid work model with up to two remote days per week, comprehensive health benefits, and opportunities for internal mobility in an inclusive environment.
Matching Summary
Match Score: 85
L-Acoustics Inc is seeking an AI Engineer specializing in NLP to design and implement innovative generative AI solutions within their Data & AI team. The ideal candidate will possess strong technical expertise in AI, specifically with LLMs and embedding techniques, and will thrive in a collaborative, innovative work environment.
Salary
Not specified; Not specified; Comprehensive health benefits included
Skills & Requirements
Must-have
Python expertise with FastAPI or Flask
Experience with LLMs and RAG pipelines
Azure cloud environment proficiency
Agent orchestration frameworks like LangChain
Docker containerization and MLOps culture
Nice-to-have
C# or C++ for complex AI applications
Voice AI and TTS technologies
Team leadership or Tech Lead experience
Knowledge of GCP or AWS ecosystems
Microsoft AI-102 certification
Key Requirements
Master's degree in Computer Science or AI
4–6+ years of experience in AI/NLP
Hands-on experience with hosted or self-managed LLMs
Proficiency in Python for computer vision algorithms
Knowledge of deep learning frameworks PyTorch or TensorFlow