Senior AI Engineer (LLM/GenAI)

TL;DR

Senior AI Engineer (LLM/GenAI): Designing and implementing AI architectures based on LLM/GenAI technologies, building end-to-end AI solutions, and integrating them with backend systems with an accent on RAG, embeddings, and data pipelines. Focus on selecting appropriate models, managing AI tools, and co-creating the AI roadmap with stakeholders for an EdTech client.

Location: Fully remote, working with teams across multiple countries.

Company

hirify.global is an IT consultancy firm that helps startups, mid-sized and large corporations design, develop, implement, and integrate software solutions, including AI and ML, for diverse industries.

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.
• 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.
• Co-create and execute the AI roadmap with product and business stakeholders.

Requirements

• 5+ years of software engineering experience and 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.
• Hands-on experience with vector databases (Pinecone, Qdrant, Weaviate, pgvector).
• Strong understanding of RAG and data pipeline design and implementation.
• Experience in AWS-first environments for AI or data solutions (AWS Bedrock, serverless, IAM).
• Excellent written and spoken English with the ability to engage stakeholders across countries.

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 flexibility with a B2B contract.
• Opportunity to work on innovative AI/ML projects for international clients in the EdTech industry.
• Mentorship opportunities and defining best practices within engineering teams.
• Collaborate with engineering, product, and support teams across multiple countries.
• Engage with product and business stakeholders on AI capabilities and opportunities.