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Engenious University · 1 month ago

AI/ML Engineer (Artificial Intelligence / Machine Learning Engineer)

United States

Full-time

Remote

Senior Level

6+ years exp

Engenious University is a US-based consulting agency with a global presence, seeking an experienced Artificial Intelligence / Machine Learning Engineer to join their dynamic team. The role involves developing autonomous AI agents, optimizing LLM-based systems, and designing Retrieval-Augmented Generation pipelines.

Higher Education

Responsibilities

Develop autonomous AI agents and multi-agent workflows leveraging tool calling and advanced reasoning

Build and optimize LLM-based systems, including prompt engineering, fine-tuning, and performance evaluation

Design and implement Retrieval-Augmented Generation (RAG) pipelines integrating external knowledge sources

Prototype solutions throughout the discovery phase, including rapid POCs and experimentation

Optimize models and agents for production environments with a focus on latency, throughput, and cost

Stay current with the evolving LLM/NLP landscape and apply state-of-the-art techniques to real use cases

Qualification

AI-focused experienceNode.js (TypeScript)PythonNLP techniquesLLM fine-tuningRAG techniquesLLM orchestration frameworksCloud platforms (AWS)Transformer-based modelsData manipulation librariesEnglish B2

Required

A minimum of 2 years of AI-focused experience and 6+ years of overall engineering background

Prototyping experience, such as hackathons or R&D work is a must

Strong proficiency in Node.js (TypeScript) and Python

Practical experience in fine-tuning, deploying, and optimizing LLMs (e.g., OpenAI (GPT models), Meta (Llama), Anthropic (Claude), Google (Gemini), X.ai (Grok))

Expertise in NLP techniques, including prompt engineering, embeddings, and semantic search

Experience with RAG techniques, including working with vector databases and retrieval systems such as Pinecone, Weaviate, Faiss, or pgvector

Experience with LLM orchestration frameworks (LangGraph, LlamaIndex, etc.)

English B2

Preferred

Working knowledge of cloud platforms, particularly AWS, for deploying ML agents

Experience with transformer-based models and frameworks (Hugging Face, PyTorch, TensorFlow)

Experience in deploying responsible AI, including implementing safety guardrails and mitigating bias

Experience with Promptfoo or other tools for LLM prompt testing, comparison, and regression tracking, as well as familiarity with LangTest for automated evaluation and validation of LLM performance and robustness

Experience with data manipulation libraries (e.g., Pandas, NumPy)

Publications or contributions to open-source ML projects