AI Engineer

Job Title: AI Engineer

Location: Onsite – Noida

Type: Full-time

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:
• Work on cutting-edge AI systems at the intersection of community, engagement, and automation.
• Contribute to building next-generation multi-agent and RAG-based solutions that will set industry benchmarks.
• Be part of a mission-driven company focused on empowering women-centric organizations.
• Challenges:
• Balancing innovation with scalability in real-world deployments.
• Navigating complexities of sensitive datasets while ensuring privacy and ethical AI usage.
• 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.