TL;DR
Senior AI Engineer (LLMs): Designing, developing, and deploying cutting-edge AI solutions, particularly those involving Large Language Models (LLMs), intelligent agents, and AI systems that integrate seamlessly into production-grade software with an accent on crafting models and prototypes, embedding them into robust applications, building APIs, and ensuring operational success of AI-powered features in real-world environments. Focus on bridging AI innovation and software engineering excellence, deploying LLMs, agents, and smart systems into full-stack products and production infrastructure.
Location: Remote from Argentina, Uruguay, or Colombia
Company
hirify.global is a company that helps other companies launch, grow, and scale their digital products and services with an AI-first mindset.
What you will do
- Design and implement LLM-based solutions (e.g., RAG systems, multi-agent tools, copilots).
- Fine-tune, evaluate, and deploy open-source and proprietary foundation models.
- Build end-to-end AI-powered features and create scalable APIs for AI functionality.
- Own the lifecycle of AI features from experimentation to deployment and monitoring.
- Collaborate with DevOps for CI/CD pipelines and implement observability for AI services.
- Lead technical discussions, mentor peers, and identify AI-driven product opportunities.
Requirements
- +4 years of experience in AI/ML-focused roles with shipped software products.
- Hands-on experience with LLMs (OpenAI, Claude, Mistral) and agent frameworks like LangChain.
- Proficiency in prompt engineering, vector databases (Pinecone, Weaviate), and embedding strategies.
- Solid Python skills with experience building APIs using FastAPI, Django, or similar.
- Production experience with cloud platforms (AWS, GCP, Azure) and tools like Docker, Terraform, Kubernetes.
- Strong software development practices including testing, code reviews, and version control (Git).
Nice to have
- Familiarity with MLOps and model deployment workflows.
Culture & Benefits
- Access to hirify.global University, conferences, certifications, and a mentorship program.
- Flexible remote work or office options in Montevideo, Buenos Aires, and Medellín.
- Flexible time schedule and Workation program.
- Gym benefits, psychological counseling, and weekly lunch reimbursements.
- Onboarding kit and access to cutting-edge technologies.
- Referral program bonuses, after-office events, prizes, and gifts.
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