We are looking for a Senior AI Engineer with strong experience building production-grade LLM applications, Machine Learning solutions, and Agentic AI systems.
The ideal candidate combines strong Python software engineering skills with hands-on experience in Machine Learning, LLMs, embeddings, NLP, and AI application development. You will work on conversational experiences and intelligent workflows, leveraging modern LLM technologies, tool calling, context management, and multi-step orchestration.
This role is suited for an engineer who enjoys solving complex AI challenges and continuously improving production systems through experimentation, evaluation, performance optimization, and engineering best practices.
You will collaborate closely with software engineers and AI specialists to design and deliver scalable, reliable, and production-ready AI capabilities.
Requirements
5+ years of professional experience in Data Science, Machine Learning, AI Engineering, or a related field.
Strong experience building and maintaining production AI and Machine Learning applications.
Strong proficiency in Python and modern software engineering best practices.
Strong SQL skills and experience working with cloud data warehouses.
Strong practical knowledge of Machine Learning, LLMs, embeddings, and Natural Language Processing (NLP).
Hands-on experience building production-grade LLM and Agentic AI applications.
Experience building, evaluating, and maintaining production Machine Learning models.
Hands-on experience with TensorFlow, PyTorch, PyCaret, or similar Machine Learning frameworks.
Experience implementing tool calling, MCP (Model Context Protocol) servers, context management, and multi-step orchestration.
Experience integrating hosted LLM APIs such as OpenAI and Anthropic into production environments.
Strong experience with prompt engineering, prompt versioning, fallback strategies, and LLM cost and latency optimization.
Experience designing intent classification and routing solutions for natural language applications.
Experience building conversational AI solutions or multi-API orchestration workflows.
Experience developing LLM and Machine Learning evaluation methodologies and frameworks.
Ability to work effectively within existing codebases and production architectures.
Strong understanding of AI/ML scalability, inference performance, reliability, and production engineering principles.
Strong collaboration, communication, analytical, and problem-solving skills.
Upper-Intermediate to Advanced English proficiency (B2+/C1).
Availability to work remotely with reasonable overlap with business hours.
Nice to Have
Experience deploying, fine-tuning, and evaluating open-source models using Hugging Face.
Experience with GPU acceleration and inference optimization.
Experience implementing MLOps practices, including CI/CD, observability, and reproducible pipelines.
Experience with vector databases and Retrieval-Augmented Generation (RAG).
Advanced or applied experience with Natural Language Processing (NLP).
Experience building client-facing AI products.

Capacitate

Data Scientist – Machine Learning & AI