AI Engineer

2 days ago

uttar pradesh, India Uplevyl Full time

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. 
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