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// About EVA.ai

Basically, EVA.ai is what you see ATM It’s an A to Z solution for searching and matching such great talent like you to the best jobs in the company, helping them with screening, interviews, etc.

Our clients are as big and cool as the United Nations (yeah, that one) and growing.We’ve got an AI chatbot, AI Matching, AI Job Recommendation etc.We believe in agile, practice SCRUM, follow SOLID principles and love innovations.We don’t hire juniors, so we are quite smart and quite efficient

// Position Description

We are looking for an

AI Engineer

to design, develop, and deploy

LLM-based AI solutions , including

chatbots, and autonomous AI agents . This role requires hands-on experience in

Generative AI, Large Language Models (LLMs), and AI-powered automation .

As an AI Engineer, you will be responsible for

fine-tuning models, implementing Retrieval-Augmented Generation (RAG), integrating AI systems via APIs, and optimizing performance for production environments .

This position is fully remote, so you can work from anywhere.

Responsibilities

Develop and fine-tune LLMs, AI Agents, and Generative AI models for real-world applications.Implement RAG (Retrieval-Augmented Generation), prompt engineering, and optimization techniques.Integrate AI models with APIs, databases, and business applications.Optimize AI model performance for accuracy, efficiency, and scalability.Stay updated on the latest AI advancements and experiment with state-of-the-art techniques.Write code. SOLID practices, all sorts of tests, and pair reviews.Talk to people. We’re quite flat, so depends on the service and feature you will be working with product analysts, customer success, designers, and obviously other developers.Participate in SCRUM. Especially retros.

// Requirements

Education: Bachelor’s degree in Computer Science or a related field (or equivalent experience)Language: EnglishKnowledge of LLMs, Generative AI (GPT, Llama, etc.)Proficiency in Python, TensorFlow, PyTorch, LangChain, OpenAI APIsExperience with fine-tuning and deploying LLMs on cloud platforms (AWS)Hands-on experience with Retrieval-Augmented Generation (RAG), vector databasesExperience integrating AI models into applications via APIs or microservices.Experience designing and optimizing AI prompts for LLM-based applications

Plus But Not a Blocker Will Be

Experience with AI Agents and autonomous workflowsKnowledge of Conversational AI and chatbot development

30 hours a week availability

// Compensation and Perks

Competitive salary rate according to your level of experience (this vacancy is senior level).Fixed in local currency, USD or GBPShare options and bonuses available as you fit KPIs and stay with us for more than 1 year.You manage your time, it’s not required to be available all day.Learning courses/conferences sponsorship.You can work less than 40 hours a week.

Opportunities to grow

You discuss your individual growth plan with a CTO and put some KPIs on it.

Horizontal Growth

Depending on your willingness, you can improve yourself:

Any optional technologies mentioned above;English;Chatbots;Security;AI;Data Analysis;Product Analysis;Customer Facing Activities;

Vertical Growth

ArchitectureAbility to become Lead Developer after some time and take responsibility for 1 or more microservicesProduct owner of 1 or more services

Seniority level

Seniority level Mid-Senior levelEmployment type

Employment type Part-timeJob function

Job function Engineering and Information TechnologyIndustries Technology, Information and InternetReferrals increase your chances of interviewing at EVA.AI | Powering HR 4.0 by 2xGet notified about new Artificial Intelligence Engineer jobs in

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