Senior AI Engineer

Location: Remote from all over the world or office-based

Company

hirify.global is an international technology team working across office and remote environments.

What you will do

• Build modular services and REST APIs for internal user interfaces with structured responses and evidence links.
• Develop scheduled and analyst-triggered pipelines for web and document extraction, normalization, deduplication, metadata management, and incremental refresh.
• Deliver competitor-event analysis, patient-language search and question answering, and evidence-grounded responses to candidate messages.
• Design retrieval-augmented generation systems that cite sources and distinguish facts, evidence, hypotheses, and launch implications.
• Evaluate retrieval quality, factual accuracy, citation quality, consistency, and business usefulness with subject-matter experts.
• Deploy and support AWS services and workers with secure access, CI/CD, tracing, retries, monitoring, and failure handling.

Requirements

• Advanced Python and experience with PyTorch, scikit-learn, or comparable machine-learning frameworks.
• Experience building modular, tested REST services with FastAPI, Flask, or comparable frameworks.
• Strong SQL, relational databases such as PostgreSQL, and vector search with pgvector or a comparable system.
• Production experience with LLM applications, prompts, structured outputs, tool use, RAG, embeddings, metadata filtering, source citations, and evaluation.
• Experience with batch pipelines, workflow orchestration, AWS, Docker, CI/CD, logging, tracing, monitoring, access controls, secrets, and failure handling.
• Ability to make architecture decisions independently, troubleshoot across application and data layers, and collaborate with technical and business stakeholders.

Nice to have

• Experience in competitive intelligence, market research, pharmaceutical commercial work, or launch planning.
• Experience with event detection, evidence-linked summaries, synthetic personas, or human review of strategic AI outputs.
• Experience with Redis, AWS Step Functions, Airflow, or enterprise UI platform integrations.

Culture & Benefits

• Remote or office work with flexible working hours.
• Medical insurance and paid sick leave.
• Continuous education, mentoring, and professional development programs.
• Company-paid professional certifications.
• Collaboration with an internationally distributed team of technical specialists.