We're looking for an AI Specialist to expand our client`s team in Lviv! This is a full-time, on-site position with a leadership role in applied research and developing open-source LLM models for a large enterprise customer. You'll integrate and optimise models deployed via Ollama, pushing the boundaries of enterprise AI use cases.
Responsibilities:
Shape our GenAI & classical ML vision.
Advise on build-vs-buy for LLM stacks, vector DBs, and MLOps tooling.
Address similarity & normalisation
Design deep-learning + rule pipelines to match ~250 M address records/year.
Evaluate with ragas and bespoke geo-accuracy metrics.
Customer predictions
Engineer features from parcel scans, seasonal peaks, traffic data.
Train and ship predictive models (ETA, delivery-success likelihood) instrumented with Langfuse.
Semantic search & RAG
Implement RAG on FAQs, SOPs, and support tickets using open-source LLMs (e.g., Mixtral, Phi-3) served via Ollama.
Optimise embedding stores, latency, and cost for call-centre workloads.
Production excellence
Deploy models to Kubernetes/AWS with CI/CD, monitoring, canary roll-outs.
Requirements:
Open-source LLMs: Familiarity with open-source LLMs (LLaMA, Mistral, Phi, etc.).
Deployment Tools: Experience using or deploying via Ollama, Hugging Face, or similar tools.
Independence & Communication: Ability to work independently and communicate clearly in English.
Research Mindset: Strong research mindset, hands-on coding ability, and documentation skills.
What We Offer:
Leadership Role: A leadership role in an applied AI initiative for an international enterprise.
Cutting-edge Tools: Work with cutting-edge tools like Ollama, RAG pipelines, and low-latency deployments.
Talented Team: A talented, motivated team.
Competitive Compensation: Competitive compensation and long-term opportunity.
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