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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: English Knowledge of LLMs, Generative AI (GPT, Llama, etc.) Proficiency in Python, TensorFlow, PyTorch, LangChain, OpenAI APIs Experience with fine-tuning and deploying LLMs on cloud platforms (AWS) Hands-on experience with Retrieval-Augmented Generation (RAG), vector databases Experience 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 workflows Knowledge of Conversational AI and chatbot development
30 hours a week availability
// Compensation & Perks
Competitive salary rate according to your level of experience (this vacancy is senior level). Fixed in local currency, USD or GBP Share 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
Architecture Ability to become Lead Developer after some time and take responsibility for 1 or more microservices Product owner of 1 or more services
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Part-time Job function
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