AI Engineer

EVA.AI; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

A leading AI solutions provider in the United States seeks an AI Engineer to design and deploy LLM-based AI solutions, including chatbots and autonomous agents. The ideal candidate should have a background in Generative AI, experience in fine-tuning models, and be proficient in Python and related tools. This role offers flexible remote work options, a competitive salary, and benefits including healthcare and professional development budgets.

Benefits

Competitive salary based on experience

Healthcare benefits

Pension contributions

Professional development budget

Fully remote work options

Qualifications

• Bachelor's degree in a relevant field or equivalent experience.
• Fluent in English.
• Available for 30 hours a week.

Responsibilities

• Design, develop and deploy LLM-based AI solutions including chatbots.
• Fine-tune models and implement RAG for AI systems.
• Integrate AI models with APIs and optimize performance.

Skills

Knowledge of LLMs and Generative AI

Proficiency in Python

Experience with TensorFlow

Experience with PyTorch

Experience with LangChain

Experience with OpenAI APIs

Hands-on experience with RAG

Experience integrating AI models via APIs

Knowledge of Conversational AI

Experience designing AI prompts

Education

Bachelor's degree in Computer Science or related field

Job description

Who you are

• 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
• 30 hours a week availability
• Experience with AI Agents and autonomous workflows
• Knowledge of Conversational AI and chatbot development

What the job involves

• 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
• 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
• 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

Benefits

• Base Salary: Based on experience and location
• On-Target Earnings (OTE): Based on EVA.ai scheme
• Benefits: These will be discussed, including healthcare, pension contributions, professional development budget, and fully remote work options