Senior AI Engineer

Location: Remote; work from home, the beach, or the office.

Company

hirify.global is a New York City-based strategic product and technology consultancy working with Fortune 500 companies and VC-backed startups.

What you will do

• Design and implement end-to-end LLM-powered applications, especially Retrieval-Augmented Generation pipelines.
• Build production-ready AI systems with Python and modern AI/ML frameworks.
• Develop data ingestion, embedding, semantic search, and scalable vector database architectures.
• Integrate AI platforms and APIs including OpenAI, Anthropic, and Azure OpenAI.
• Deploy, monitor, test, and optimize AI solutions in AWS, Azure, or GCP environments.
• Collaborate with engineering, data, product, and business teams while documenting technical decisions and implementation details.

Requirements

• Master’s degree in Computer Science, Engineering, AI, or a related field.
• 7+ years of backend software engineering experience, including 1–2 years developing and implementing AI-powered solutions.
• Hands-on experience building and deploying LLM applications, particularly RAG-based systems.
• Strong programming skills, with preference for Python, followed by .NET, TypeScript, and Java.
• Experience with LLM APIs, vector databases such as Pinecone or Weaviate, semantic search, APIs, microservices, and scalable backend architecture.
• Production experience with at least one major cloud platform: AWS, Azure, or GCP.

Nice to have

• Experience with AI architecture, technical standards, roadmap discussions, and technical planning.
• Experience designing multi-agent AI systems or working with FAISS and Milvus.
• Experience with Hugging Face, open-source model fine-tuning, advanced MLOps, or model governance.
• PhD completed or in progress in a relevant field.
• Experience mentoring junior engineers or leading smaller technical initiatives.

Culture & Benefits

• Remote work with flexible hours and no time-tracking system.
• One long-term project at a time, enabling focus on client needs and team collaboration.
• Indefinite employment contract; B2B collaboration is also available.
• Regular feedback, mentoring, education opportunities, and support for role or technology changes.
• Monthly knowledge-sharing sessions, weekly talks, and brainstorming sessions.