Senior Ai Engineer

Summary

Join our team in Lithuania to develop an LLM-based Customer Support Assistant designed to boost support team efficiency by up to 50%. This role involves contributing to high-quality AI products, leveraging expertise from experienced AI specialists, and applying engineering best practices. You will contribute to project roadmap decisions, create feasibility prototypes, and design/implement client-focused solutions. The position requires proven AI engineering experience, proficiency in Python and relevant APIs, and fluency in Lithuanian and English. We offer a collaborative and fun work culture, health insurance, a training budget, flexible hours, unlimited WFH, extra vacation days, referral bonuses, WFA options, and office perks.

Requirements

• Proven experience in AI Engineering role: prompt engineering, model fine-tuning, working with embedding models, evals and implementing LLM observability best practices
• Experience with commercially available APIs for content generation, embeddings, function calling, fine-tuning, etc., and proficiency in fine-tuning prompts for high-quality outcomes
• High curiosity to stay up to date with the evolution of AI field
• Strong skills in Python programming
• Knowledgeable in Linux and DevOps methodologies, including the use of Git, Jira, and Docker
• Experience working in an Agile environment
• Fluency in both Lithuanian and English languages

Responsibilities

• Contribute to creating quality products and AI topic within NFQ
• Takeover the knowledge of experienced AI specialist while developing a solution
• Apply engineering best practices to the current team environment
• Contribute to decisions regarding the project roadmap
• Make prototypes that quickly prove the feasibility of solutions
• Design and implement solutions that meet client needs

Benefits

• A working culture that is high performing, ambitious, collaborative and fun
• Health insurance and a yearly training budget (local and international conferences, language courses), employee-led workshops
• Flexible working hours
• Unlimited WFH (work from home) policy
• Extra vacation days: 2 after working at NFQ for two years and 4 after four years on our team
• Bonus for referrals
• For those who dream of traveling: WFA (work from anywhere) possibilities in NFQ - approved countries
• Office perks and team activities