Artificial Intelligence Engineer

About Quantiphi:

• Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
• Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead.
• Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others.

We have been recognized with:

• 17x Google Cloud Partner of the Year awards in the last 8 years
• 3x AWS AI/ML award wins
• 3x NVIDIA Partner of the Year titles
• 2x Snowflake Partner of the Year awards
• Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms
• We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators
• We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023

For more details, visit: Website or LinkedIn Page

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

Job Description:

We are looking for an AI Engineer to build and deploy LLM-powered applications, including RAG systems, fine-tuning pipelines, and scalable inference services. You will turn cutting-edge GenAI capabilities into reliable, production-ready products.

Responsibilities:

• Build and deploy LLM-powered applications
• Design RAG pipelines using vector databases
• Perform prompt engineering and model optimization
• Fine-tune and adapt LLMs for domain-specific use cases
• Develop APIs and scalable inference services
• Monitor performance, cost, and reliability in production

Requirements:

• Strong Python skills
• Hands-on experience with LLMs (OpenAI, Anthropic, LLaMA, Mistral, etc.)
• Experience with prompt engineering, embeddings, and RAG
• Knowledge of NLP and transformer-based models
• Experience with cloud platforms (AWS, Azure, or GCP)

Nice to Have:

• Experience with LangChain / LlamaIndex
• Vector databases (Pinecone, FAISS, Weaviate, etc.)
• Fine-tuning techniques (LoRA, QLoRA)
• MLOps / LLMOps experience

What’s in it for YOU at Quantiphi?

• Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
• Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.