Senior AI Engineer (AI)

TL;DR

Senior AI Engineer (AI/LLM): Designing and implementing AI architectures and end-to-end solutions for an EdTech client, with an accent on RAG, vector stores, and integration with backend systems. Focus on building and testing AI prototypes, defining best practices, and monitoring model performance in production.

Location: 100% Remote (Global)

Company

hirify.global is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies.

What you will do

• Design and implement AI architectures based on LLM/GenAI technologies.
• Build end-to-end AI solutions including assistants, recommendations, and automation systems.
• Design and implement RAG (Retrieval-Augmented Generation), embeddings, vector stores, and data pipelines.
• Integrate AI solutions with backend systems (microservices, REST APIs, event-driven architectures).
• Mentor engineers, define best practices, perform code reviews, and monitor model performance.
• Co-create and execute the AI roadmap with product and business stakeholders.

Requirements

• 5+ years of experience as a Software Engineer.
• 2+ years hands-on experience in AI/ML or LLM-based projects.
• 3+ years commercial experience with Python.
• Practical experience with OpenAI, Azure OpenAI, HuggingFace, or open-source LLMs.
• Experience with LangChain, LlamaIndex, or similar orchestration frameworks.
• Hands-on experience with vector databases (Pinecone, Qdrant, Weaviate, pgvector).
• Strong understanding of RAG and data pipeline design and implementation.
• Experience with system architecture, APIs, integrations, and event-driven design.
• Hands-on experience in AWS-first environments for AI or data solutions (AWS Bedrock, serverless, IAM).
• Technical leadership and mentoring skills.
• Skilled in modern LLM tools and workflows, including prompt engineering and model evaluation.
• Excellent written and spoken English.
• Proven ability to work effectively in multi-country or distributed organizations.

Nice to have

• Experience with fine-tuning, LoRA, and quantization techniques.
• Knowledge of MLOps (monitoring, drift detection, CI/CD for AI).
• Experience building AI-first products in startup or high-ownership environments.
• Background in data engineering, analytics, or platform engineering.

Culture & Benefits

• 100% remote work opportunity.
• B2B contract.
• Opportunity to play a key role in designing AI architectures and driving technical excellence.
• Work on a project for an international client in the EdTech industry.
• Support for training and onboarding to help teams adopt AI tools and best practices.
• Work closely with engineering, product, and support teams across multiple countries.