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

About the company:
Engenious is a US-based consulting agency with a global presence. Although Engenious’ main area of expertise is mobile development, it is a home for more than 40 plus talented world-class engineers with domain experience in Web, Backend, and Test Automation.

Open role:

We are seeking an experienced Artificial Intelligence / Machine Learning Engineer to join our dynamic team.

Key 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.

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

Our 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

Send us your CV and take a new step in your professional career!