Senior AI Engineer (LLM/GenAI)

TL;DR

Senior AI Engineer (LLM/GenAI): Designing and implementing AI architectures for an EdTech client, building end-to-end AI solutions including assistants and automation systems with an accent on RAG, embeddings, vector stores, and data pipelines. Focus on integrating AI solutions with backend systems, selecting appropriate models and tooling, and monitoring model performance in production.

Location: 100% remote work with teams across multiple countries.

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, and perform code reviews.
• Monitor model performance, quality, cost, and safety in production environments.

Requirements

• 5+ years of experience as a Software Engineer, with 2+ years hands-on experience in AI/ML or LLM-based projects.
• Strong Python experience (3+ years commercially).
• 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.

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.
• B2B contract.
• Opportunity to play a key role in designing AI architectures and driving technical excellence.
• Support training and onboarding to help teams adopt AI tools and best practices quickly.
• Work in a multi-country and distributed organization.