Senior GenAI Data Scientist - End-to-End LLM & RAG Architect

Lingaro; Polska; Hybrid; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Office as an option

Workation

Udemy learning platform access

Certificate training programs

Professional development

Job summary

Lever, Inc. is seeking an experienced GenAI/AI engineer to lead discovery, design, and implementation of end-to-end GenAI solutions. You will shape architectures, build data ingestion, retrieval layers, and orchestration for scalable applications, with emphasis on RAG, evaluation, and governance.

Strong Python expertise and cloud familiarity are essential for production-grade delivery. The role involves collaborating with data engineers, product owners, and full-stack developers to ensure robust

Qualifications

• 6+ years of experience in Data Science/AI engineering.
• At least 4+ years of experience in production-ready Python AI-related code development.
• At least 2+ years of experience in production-ready LLM-related code development, preferably Retrieval-Augmented Generation (RAG).
• Strong analytical and problem-solving skills with the ability to optimize AI solutions for diverse applications.
• Strong knowledge and experience in Generative AI, including LLMs, chatbots, AI agents, and RAG mechanisms.
• Deep understanding of LLM evaluators, validators, and guardrails.
• Hands-on experience with GenAI frameworks: LangChain, LlamaIndex, LangGraph, or similar orchestration stacks.
• Hands-on experience designing or operating MCP servers/clients for LLM agents.
• Strong Python skills, including production-grade code, packaging, and testing for data/ML services.
• Solid understanding of ML/AI concepts: algorithms, frameworks, model efficiency metrics, lifecycle, architectures.
• Proven ability to collaborate effectively across technical and non-technical teams.
• Familiarity with cloud environments such as Azure (preferred), GCP, or AWS, including AI-related managed services.
• Familiarity with CI/CD, testing, and containerized deployments.
• Excellent communication skills in English, with the ability to convey complex technical concepts.

Responsibilities

• Lead discovery and solution design for GenAI use cases, translating business problems into concrete architectures (LLM decision, RAGs, fine-tuning, agents, guardrails).
• Build end-to-end GenAI applications: data ingestion, retrieval layer, orchestration (e.g. LangChain/LlamaIndex/LangGraph), API/backend, and simple UI where needed.
• Design and implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks for relevance and robustness.
• Perform model selection, prompting strategies, and fine-tuning (LoRA/QLoRA/SFT) for text, code, and multimodal models, including evaluation and A/B testing.
• Implement safety, compliance, and governance controls (input/output filters, PII handling, audit logs, human-in-the-loop review where required).
• Collaborate with data engineers, product owners, and full-stack developers on scalable architectures, SLAs, and integration with existing enterprise systems.
• Gather technical requirements and estimate planned work.
• Mentor other data scientists/engineers in GenAI patterns, code quality, and best practices; contribute to internal libraries, templates, and reusable components.
• Stay current with GenAI landscape (new open and hosted models, agentic frameworks, evaluation techniques) and perform targeted PoCs to validate them.

Job description

Lever, Inc. is seeking an experienced GenAI/AI engineer to lead discovery, design, and implementation of end-to-end GenAI solutions. You will shape architectures, build data ingestion, retrieval layers, and orchestration for scalable applications, with emphasis on RAG, evaluation, and governance.

Strong Python expertise and cloud familiarity are essential for production-grade delivery. The role involves collaborating with data engineers, product owners, and full-stack developers to ensure robust