AI Engineer

Job Description

// 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.

Depending on your willingness, you can improve yourself:

Horizontal growth:

• 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