Engenious

AI/ML Engineer – Artificial Intelligence, Machine Learning

Engenious

contract

Posted on:

Location Type: Remote

Location: Remote • 🇸🇰 Slovakia

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Job Level

SeniorLead

Tech Stack

AWSCloudJavaScriptNode.jsNumpyPandasPythonPyTorchTensorflowTypeScript

About the role

  • 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.

Requirements

  • 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
  • Nice to have: 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
Benefits
  • Flexible & remote job
  • Paid vacation and sick leave
  • Development opportunities in any IT direction
  • Fun and friendly team
  • Personal professional growth
  • Up to 100% reimbursement of participation in core courses and conferences

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Node.jsTypeScriptPythonfine-tuningoptimizing LLMsNLP techniquesRAG techniquestransformer-based modelsdata manipulationprompt engineering
Soft skills
prototypingexperimentationcommunication