AI Engineer

About Us

At Uplevyl, we're redefining what intelligent communities look like. Through our AI-powered

agents, we’re building scalable, agentic community systems that reduce manual work and

increase member engagement—especially for women-centric organizations.

We’re looking for someone who gets community—because they’ve built one. Someone who

understands the operational bottlenecks and the daily wins of growing a thriving space. Most

importantly, someone who can now take that expertise and help us bring this new generation of

agentic communities to life.

Key Responsibilities

• Design, develop, and deploy LLM-based AI solutions tailored for scalable community

systems.

• Implement advanced RAG models, embedding pipelines, and vector databases (e.g.,

Pinecone, FAISS, Qdrant).

• Work with multi-agent orchestration frameworks to build adaptive, intelligent workflows.

• Fine-tune, pre-train, and evaluate LLMs for domain-specific applications.

• Integrate AI/ML systems with AWS services such as SageMaker, Bedrock, ECS, and Cognito

(or equivalent).

• Collaborate with product and community teams to understand real-world use cases and

translate them into robust AI solutions.

• Ensure ethical AI practices when handling domain-sensitive datasets.

• Stay updated on the latest AI research and apply innovative approaches to improve

scalability and efficiency.

Performance Expectations

• Deliver high-quality, production-ready AI models and pipelines within agreed timelines.• Demonstrate measurable improvements in community engagement and operational

efficiency through AI-driven systems.

• Maintain high standards of ethical AI practices and data governance.

• Proactively identify challenges in scaling agentic communities and propose innovative

solutions.

• Communicate technical concepts clearly to both technical and non-technical

stakeholders.

Opportunities & Challenges

Opportunities:

o Work on cutting-edge AI systems at the intersection of community, engagement,

and automation.

o Contribute to building next-generation multi-agent and RAG-based solutions that

will set industry benchmarks.

o Be part of a mission-driven company focused on empowering women-centric

organizations.

Challenges:

o Balancing innovation with scalability in real-world deployments.

o Navigating complexities of sensitive datasets while ensuring privacy and ethical AI

usage.

o Driving adoption of agentic community systems in diverse organizational settings.

Qualifications:

• Bachelor’s/Master’s in Computer Science, AI/ML, Data Science, or related field.

• 4+ years of experience in LLM-based solutions, NLP, or AI system design.

• Proven experience with RAG models, vector databases (Pinecone, FAISS, Qdrant), and

embedding pipelines.

• Strong expertise in Python, PyTorch/TensorFlow, LangChain, LangGraph, Hugging Face

Transformers.

• Familiarity with AWS AI/ML stack (SageMaker, Bedrock, ECS, Cognito) or equivalent.

• Experience in handling domain-sensitive datasets and applying ethical AI practices.

• Hands-on experience with fine-tuning, pre-training, and evaluation of LLMs.