Senior AI Engineer (Python)

TL;DR

Senior AI Engineer (AI): Designing and implementing scalable, production-ready LLM-powered applications with an accent on RAG pipelines and vector database architectures. Focus on building and deploying robust AI systems, optimizing data ingestion workflows, and managing model lifecycles within cloud environments.

Location: Remote

Company

hirify.global is a 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, emphasizing RAG pipelines.
• Build production-ready AI systems utilizing Python and modern AI/ML frameworks.
• Develop and optimize semantic search workflows and scalable vector database architectures.
• Integrate and manage AI platforms and APIs such as OpenAI, Anthropic, or Azure OpenAI.
• Deploy and maintain AI solutions across major cloud environments (AWS, Azure, GCP).
• Implement MLOps practices, including CI/CD and model observability to ensure performance.

Requirements

• Master’s degree in Computer Science, Engineering, AI, or a related field.
• 7+ years of backend software engineering experience with at least 1-2 years focused on AI/ML.
• Proven hands-on experience building and deploying LLM applications, specifically RAG-based systems.
• Strong programming proficiency in Python, with additional experience in .NET, TypeScript, or Java.
• Solid understanding of vector databases like Pinecone or Weaviate.
• Experience with at least one major cloud provider (AWS, Azure, or GCP) in production.

Nice to have

• Experience designing or implementing multi-agent AI systems.
• Familiarity with alternative vector databases like FAISS or Milvus.
• Experience with the Hugging Face ecosystem or fine-tuning open-source models.
• PhD in a relevant field.

Culture & Benefits

• Remote-first work environment with flexible working hours.
• Focus on one long-term project at a time.
• Opportunities for job role switching and career development.
• Educational support for courses and conferences.
• Regular monthly knowledge-sharing sessions and team brainstorming.
• Indefinite employment contracts with B2B options available.