Lead AWS AI Engineer

Algomine; Town of Poland (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Private healthcare

Sports card

Flexible working hours

Team-building events

Job summary

A leading AI solutions company is looking for an experienced professional to design and oversee complex AI/LLM solutions in cloud and on-premise environments. The ideal candidate will have a strong background in AWS and Python, with at least 5 years of experience in AI projects, including LLM. Responsibilities include consulting for business clients, implementing generative solutions, and leading engineering teams. This position offers flexible working hours with the possibility of remote work, private healthcare, and participation in advanced Data Science projects.

Qualifications

• Minimum 5–7 years of experience in implementing AI projects, with 3 years in LLM.
• Experience in designing enterprise-level AI/LLM architectures.
• Ability to translate complex AI concepts into simple business terms.

Responsibilities

• Designing AI solutions in cloud and on-premise environments.
• Implementing advanced generative solutions and agent architectures.
• Consulting for clients on AI use cases and business cases.

Skills

AWS

Python

AI/ML frameworks

SQL

RAG

Prompt engineering

ETL

Model monitoring

Education

Higher education in computer science, data science, or related fields

Tools

AWS SageMaker

AWS Bedrock

Job description

Responsibilities

• Design and architectural oversight of complex AI/LLM solutions in cloud and on-premise environments
• Building and implementing advanced generative solutions (GenAI), including RAG (Retrieval-Augmented Generation) systems, agent architectures and agent orchestration (LangChain, LangGraph, Haystack, Semantic Kernel), multimodal solutions (text, image, sound, video)
• Designing and managing end-to-end projects – from analysis and PoC to production implementation
• Consulting and advising for business clients – identifying AI use cases, creating business cases, evaluating business value
• Conducting evaluations of new AI/LLM technologies (open-source and commercial, including Hugging Face, OpenAI, Anthropic, Meta, Mistral, Google, Cohere)
• Implementation and optimization of MLOps/LLMOps processes (model monitoring, retraining automation, champion‑challenger)
• Substantive leadership of engineering teams implementing AI solutions, mentoring, and support in technological decision‑making

Requirements

• Higher education (computer science, data science, mathematics, econometrics, quantitative methods, or related fields)
• Very good knowledge of AWS, in particular AWS SageMaker and Bedrock
• Minimum 5–7 years of experience in implementing AI projects, including at least 3 years of LLM experience
• Experience in designing the architecture of enterprise‑level AI/LLM solutions
• Proficient Python skills and practical experience with AI/ML frameworks
• In‑depth knowledge of RAG, prompt engineering, fine‑tuning and adapters (LoRA, PEFT), training and evaluating language models (NLP, LLM, multimodal), agent orchestration, and AI workflows
• Experience in data preparation for AI solutions (ETL, SQL, data pipelines, embeddings, text and multimodal data cleansing)
• Ability to select appropriate LLM models for specific tasks based on benchmarks, quality metrics, costs, and business requirements
• Knowledge of engineering best practices: CI/CD, code review, testing (GitLab/GitHub)
• Ability to think analytically and translate complex AI concepts into simple business terms
• Very good English (C1)

What we offer

• Participation in diverse and technologically advanced Data Science and GenAI projects
• Modern technology stack and openness to implementing new solutions
• Work in a Data Science/AI competency team
• Private healthcare and sports card
• Flexible working hours and the possibility of 100% remote work
• Team‑building events and unforgettable company events