AI Engineer - AI Team

Remotely within time zones from GMT-2 to GMT+5, GMT-2 to GMT+5Full-TimeSenior

Salary not disclosed

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Job Details

Languages: English B1 or higher
Required Skills: AWSPythonMLFlowGoCI/CDA/B testingPrompt EngineeringLangChain

Hands-on experience working with LLMs, with a strong focus on prompt engineering, building ML pipelines, and model integration
Understanding of quality evaluation metrics and practical experience with A/B testing for ML models
Ability to prioritize hypotheses, clearly justify the selection of specific models, methods or algorithms, and architect efficient engineering solutions
Experience delivering high-quality software, CI/CD pipelines, and end-to-end ownership of the development lifecycle from technical design to post-deployment monitoring
Expertise in Python and its ecosystem
Language- and framework-agnostic mindset to achieve project goals
Familiarity with various options for LLM providers, both commercial such as OpenAI, Anthropic, Cohere, etc, and open-source, such as Llama and Mistral
Familiarity with various open-source tools to build and evaluate RAG applications such as LangChain, LlamaIndex, Ragas, MLflow etc.
Excellent communication skills and ability to explain complex technical concepts to a broad audience of stakeholders
B1 or higher English level for effective communication with an international team

Develop and manage AI/ML pipelines using Large Language Models
Focus on model selection, configuration, creating robust wrappers, and designing the overall pipeline for data storage and retrieval
Work with advanced prompts, set up RAG-oriented data sources for efficient retrieval, and evaluate model outputs to ensure accuracy, relevance, and quality
Implement and refine advanced OCR solutions to automatically read, analyze, and validate business documents
Design and execute experiments and A/B tests to systematically compare the performance of different prompts, pipelines, and model configurations
Use metrics to drive product decisions and continuous improvement cycles
Work with the rest of the team to solve complex AI implementation challenges, review code, and ensure we deliver top-notch solutions

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