Quantiphi is looking to solve transformational problems at the heart of businesses by designing, developing, and deploying advanced AI solutions that leverage the power of large language models (LLMs) to create intelligent, autonomous agents capable of performing complex tasks, generating creative content, and driving significant business value.
Requirements
- Expert proficiency in Python and relevant ML/DL frameworks (e.g., TensorFlow, PyTorch, JAX).
- Deep practical experience with Generative AI models, including various LLM (e.g., Transformers, GPT, Llama).
- Mandatory expertise with Agentic AI frameworks such as LangChain and LangGraph.
- Experience with other agentic workflow tools like CrewAI, AutoGen, or similar.
- Strong understanding of MLOps principles and practices for deploying and managing AI models in production.
- Solid background in Natural Language Processing (NLP) tasks (e.g., text generation, summarization, question answering, semantic search).
- Familiarity with reinforcement learning, multi-agent systems, and decision-making algorithms.
Responsibilities
- Development, and optimization of enterprise-grade Generative AI solutions, focusing on leveraging LLMs for various applications.
- Apply advanced techniques for LLM fine-tuning, including but not limited to PEFT (Parameter-Efficient Fine-Tuning), SFT (Supervised Fine-Tuning), QLoRA, and DPO (Direct Preference Optimization), to enhance model performance, efficiency, and domain specificity.
- Implement sophisticated prompt engineering strategies (e.g., Chain of Thought, Few-Shot, Tree of Thoughts, Self-Refine, RAG) to maximize LLM reasoning, creativity, and alignment with complex business requirements.
- Develop and integrate Retrieval Augmented Generation (RAG) systems to enhance LLM knowledge and reduce hallucinations.
- Develop and deploy robust and scalable Agentic AI systems capable of autonomous decision-making, task execution, and complex problem-solving.
- Utilize and contribute to agentic frameworks such as LangChain, LangGraph, CrewAI, and AutoGen to build sophisticated multi-agent systems and orchestrate complex workflows.
- Deploy Generative and Agentic AI models and systems at scale, optimizing for latency, throughput, robustness, and cost-efficiency on cloud platforms.
Other
- 3+ years
- Full Time
- Remote (USA)
- Proven track record in designing, developing, and deploying enterprise-grade Generative AI solutions.
- Extensive experience with LLM fine-tuning techniques (e.g., PEFT, SFT, QLoRA, DPO) and prompt engineering for complex tasks.
