Senior AI Engineer

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Requirements:

• Excellent command of the Python programming language (incl. common frameworks and packages - e.g. LangChain, LlamaIndex, ReAct, NumPy / Scipy, pandas, TensorFlow / Torch, Spacy, etc.)
• Proficiency with different LLMs - commercial (OpenAI, Claude, Amazon Titan) and non-commercial (Meta, Mistral, etc.)
• Experience with prompt engineering, output parsing, guardrails
• Knowledge of different types of embeddings and vector databases, RAG, CoT / ToT, etc.
• Ability to evaluate different models and techniques based on quantitative metrics
• Hands-on experience with AWS SageMaker
• Knowledge of different ML algorithms (XGboost, etc.), feature selection, resampling, optimization techniques
• Experience with application of ML for classification, document parsing, customer segmentation, predictive analytics
• Ability to evaluate different models and techniques based on quantitative metrics
• Excellent knowledge of SQL and/or No-SQL databases
• Experience building high-performance Python applications
• Proficiency in written and spoken English

Responsibilities:

• Develop new ML and GenAI based solutions written in Python
• Enhance and maintain existing ML and GenAI solutions
• Work together with the technical architects, client implementation team, and infrastructure team to develop, test, and maintain the code
• Follow a fast-paced, agile process, and assist with estimation of sprint deliverables
• Ensure secure coding and best practices for testing and DevOps pipeline across an end-to-end solution
• Provide diagnostic support and issue resolutions for existing software applications
• Document and present findings to both technical and non-technical stakeholders