Senior AI Engineer

Location: Remote; working from home, the beach, or the office is supported.

Company

hirify.global is a strategic product and technology consultancy based in New York City, 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 such as 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 contributing to MLOps, CI/CD, model lifecycle management, observability, and technical documentation.

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 and deploying applications to production.

Nice to have

• AI architecture design, technical standards, roadmap discussions, and technical planning experience.
• Experience designing multi-agent AI systems or using FAISS, Milvus, or the Hugging Face ecosystem.
• Experience fine-tuning open-source models, advanced MLOps, or model governance.
• PhD in a relevant field or experience mentoring junior engineers and leading technical initiatives.

Culture & Benefits

• Work on one long-term project at a time with the opportunity to build strong client and team context.
• Remote work with flexible working hours and no time-tracking system.
• Indefinite employment contract; B2B collaboration is also available.
• Regular feedback, education opportunities, and support for role or technology changes.
• Monthly knowledge-sharing sessions, weekly talks, brainstorming sessions, and referral fees.