AI Engineer | Machine Learning
Core
End-to-end delivery of GenAI solutions, including conversational interfaces, multi-agent workflows, and scalable data pipelines for national and international clients.
Role type
Senior AI Engineer (GenAI & ML)
Builds
Production-ready GenAI agents, RAG systems, and scalable data pipelines
Domain
Generative AI, Machine Learning, Cloud Infrastructure
Deliverable
production ML models | product features | client delivery
Required skills
Python, end-to-end AI pipeline construction, RAG, embeddings, vector databases, Azure Databricks, agent orchestration frameworks (LangGraph, LangChain), LLMOps tools, REST API development, distributed data platforms (Spark, Snowflake), prompt engineering, infrastructure cost optimization
Preferred skills
Docker, large-scale data ingestion, BI tools, ML model training, cloud certifications
Technologies
Python, Azure Databricks, LangGraph, LangChain, Semantic Kernel, LangSmith, LangFlow, MLflow, Weights & Biases, Docker, AWS, GCP, Spark, Snowflake, G-Suite
Responsibilities
Design and deliver end-to-end GenAI solutions using RAG and multi-agent orchestration; Develop and expose scalable REST APIs for AI models and agents; Deploy AI solutions on cloud infrastructure ensuring stability and performance; Structure end-to-end data and model pipelines for high-volume data; Conduct client meetings to translate business requirements into technical architecture; Create technical and executive materials to demonstrate solution impact; Develop proofs of concept and support technical commercial proposals; Train clients and internal teams on GenAI technologies
Seniority
Senior, hands-on IC