Senior AI Engineer

N-iX

Poland

Hybrid

PLN 80,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Flexible working format
Competitive salary and good compensation package
Personalized career growth
Professional development tools
Education reimbursement
Corporate events and team buildings

Job summary

N-iX, a leading software development company in Poland, is seeking a Senior AI Engineer to develop cutting-edge AI solutions. The ideal candidate will have over 8 years of software engineering experience and a strong background in AI/ML technologies. Responsibilities include designing advanced RAG systems, developing conversational AI agents, and building voicebot solutions. Competitive salary, flexible working format, and professional development opportunities are offered.

Qualifications

  • 8+ years of software engineering experience with 4+ years focused on AI/ML engineering.
  • Strong proficiency in Python and ML frameworks.
  • Deep hands-on experience with advanced Retrieval-Augmented Generation systems.

Responsibilities

  • Design and implement advanced RAG systems with sophisticated chunking strategies.
  • Develop and optimize conversational AI agents with context awareness.
  • Build production-ready voicebot solutions integrating real-time speech processing.

Skills

Python
ML frameworks (PyTorch, TensorFlow)
Conversational AI systems
Voicebot development
TTS and STT technologies
LLM fine-tuning
Cloud platforms (AWS, GCP, Azure)
MLOps tools (MLflow, Weights & Biases)
API design and microservices

Job description

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software, IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

We are seeking an exceptional Senior AI Engineer to join our team and drive the development of cutting‑edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production‑grade voice AI applications. The ideal candidate will have deep expertise in LLM technologies and a proven track record of delivering scalable AI solutions.

Responsibilities
  • Design and implement advanced Retrieval‑Augmented Generation (RAG) systems with sophisticated chunking strategies, multi‑vector retrieval, and hybrid search architectures.
  • Develop and optimize conversational AI agents with complex multi‑turn dialogue management and context awareness.
  • Build production‑ready voicebot solutions integrating real‑time speech processing pipelines.
  • Architect and deploy Text-to‑Speech (TTS) and Speech‑to‑Text (STT) systems with low latency and high accuracy.
  • Design and deploy PROD‑grade AI Agents that can scale up for various use cases.
  • Fine‑tune large language models using various techniques.
  • Optimize model performance through prompt engineering, few‑shot learning, and retrieval strategies.
  • Implement evaluation frameworks and metrics for LLM outputs and conversational quality.
  • Develop custom training pipelines for domain adaptation and specialized use cases.
  • Design scalable AI infrastructure supporting real‑time inference and high‑throughput batch processing.
  • Implement efficient vector databases and semantic search systems (Pinecone, Azure Search).
  • Build monitoring and observability solutions for AI systems in production.
  • Stay current with latest developments in LLM architectures, RAG techniques, and voice AI technologies.
  • Experiment with emerging models and frameworks to evaluate applicability to business problems.
  • Contribute to technical documentation, best practices, and knowledge sharing within the team.
  • Prototype and validate new AI capabilities through POCs and pilots.
Requirements
  • 8+ years of software engineering experience with 4+ years focused on AI/ML engineering.
  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
  • Deep hands‑on experience with advanced RAG systems.
  • Proven experience building conversational AI systems.
  • Production experience with voicebot development.
  • Expertise in TTS and STT technologies.
  • Strong experience with LLM fine‑tuning.
  • Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Experience with MLOps tools and practices (MLflow, Weights & Biases, experiment tracking).
  • Strong understanding of API design, microservices architecture, and system integration.
We offer
  • Flexible working format - remote, office‑based or flexible.
  • A competitive salary and good compensation package.
  • Personalized career growth.
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more).
  • Active tech communities with regular knowledge sharing.
  • Education reimbursement.
  • Memorable anniversary presents.
  • Corporate events and team buildings.
  • Other location‑specific benefits.
  • Not applicable for freelancers.
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