Senior Data Scientist (Agentic AI Platform)

Alloy Enterprises; Warszawa; On-site; PLN 152,000 - 237,000; Full time

Job summary

Alloy Enterprises is seeking a Senior Data Scientist to lead the development of an agile Agentic AI Platform that plans, reasons, and executes complex workflows end-to-end. You will architect production-grade agent-based solutions, mentor teammates, and set technical direction for GenAI initiatives across the organization.

The role requires hands-on ML and data science experience with LLM-based applications, strong Python, and expertise in multi-agent orchestration, memory, and tool-use

Qualifications

• Experience building LLM/GenAI applications in production.
• Hands-on experience with LangChain or LangGraph frameworks.
• Strong understanding of prompt engineering for LLM apps.
• Expert-level Python including pandas, NumPy, and scikit-learn.
• Experience with vector databases and embeddings (Azure AI Search, Pinecone, Weaviate, Qdrant, FAISS, pgvector).
• Strong SQL skills for large-scale data analytics.

Responsibilities

• Design, build, and productionize multi-agent systems and orchestration.
• Develop end-to-end RAG pipelines with doc ingestion and vector search.
• Integrate agents with enterprise APIs and pattern connectors.
• Build LLM evaluation frameworks and track model performance.
• Implement guardrails, safety, and governance for agents.
• Own MLOps/LLMOps, experiment tracking, and CI/CD pipelines.
• Collaborate with data engineers on data quality and governance.
• Translate business problems into agentic AI solutions and present results.

Skills

LLM/GenAI apps

LangChain/LangGraph

Prompt engineering

Python (pandas, NumPy, scikit-learn)

Vector databases

SQL

Education

Bachelor's or Master's in CS/DS/Engineering

Tools

LangChain

LangGraph

Azure OpenAI / AI Foundry

Azure Databricks

TensorFlow/PyTorch

Docker/Kubernetes

Job description

What you will do

We are hiring a Senior Data Scientist to play a key role in building our Agentic AI Platform a system of autonomous, tool-using AI agents that plan, reason, and execute complex business workflows end-to-end. The ideal candidate combines strong ML fundamentals with hands-on experience in LLM-based application development, agent orchestration frameworks, and Microsoft Azure cloud services. You will architect and ship production-grade agentic solutions, mentor junior team members, and set technical direction for GenAI initiatives across the organization.

How you will do it

• Design, build, and productionize multi-agent systems, including planning, tool calling / function calling, memory, and orchestration, using frameworks such as LangGraph, AutoGen, CrewAI, or Semantic Kernel.

• Develop RAG pipelines end-to-end: document ingestion, chunking strategies, embeddings, vector search (Azure AI Search / FAISS / pgvector), re-ranking, and grounding for agent knowledge.

• Integrate agents with enterprise systems and APIs via tool/function calling and Model Context Protocol (MCP) or similar connector patterns.

• Build and maintain LLM evaluation frameworks for agentic workflows, task-completion metrics, hallucination detection, trajectory analysis, LLM-as-judge pipelines, and A/B testing.

• Implement guardrails, safety, and governance for agents: prompt-injection defense, content filtering, role-based tool permissions, human-in-the-loop checkpoints, and audit logging.

• Fine-tune and optimize LLMs where needed (LoRA/PEFT, prompt optimization, model routing, latency/cost trade-offs) on Azure OpenAI / Azure AI Foundry.

• Design, build, and evaluate classical ML models (classification, regression, forecasting, NLP) where they complement agentic workflows.

• Own LLMOps/MLOps for the platform: experiment tracking, prompt versioning, CI/CD, observability and tracing (LangSmith, Azure Monitor, OpenTelemetry), drift monitoring, and retraining strategies.

• Collaborate with data engineers on data quality, availability, and governance across Azure Data Lake, Databricks, and Synapse Analytics.

• Translate ambiguous business problems into agentic AI solutions; present architecture decisions and results to senior stakeholders.

• Mentor junior data scientists, lead code/design reviews, and champion engineering best practices.

Required

• professional experience in data science / ML, with building LLM or GenAI applications in production.

• Hands-on experience with agentic frameworks LangChain or LangGraph.

• Strong understanding of LLM application patterns including prompt engineering

• Expert-level Python (pandas, NumPy, scikit-learn, async programming, API development with FastAPI).

• Experience with vector databases and embeddings (Azure AI Search, Pinecone, Weaviate, Qdrant, FAISS, or pgvector).

• Strong SQL skills and experience working with large-scale data.

Preferred

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.

• Hands-on experience with Azure services: Azure OpenAI / AI Foundry, Azure ML, Azure AI Search, Azure Databricks, Azure Data Factory, or Synapse.

• Solid grounding in classical ML: supervised/unsupervised learning, model evaluation, and hyperparameter tuning; experience with TensorFlow or PyTorch.

• Experience with Model Context Protocol (MCP), OpenAI Assistants/Agents SDK, or Anthropic tool-use APIs.

• Strong understanding of function/tool calling, structured outputs, RAG, agent memory, and multi-agent orchestration.

• Proven MLOps/LLMOps experience: MLflow, prompt/model versioning, CI/CD (Azure DevOps or GitHub Actions), and production monitoring.

• Ability to evaluate and mitigate LLM-specific risks: hallucination, prompt injection, data leakage, and cost/latency constraints.

• Experience with AutoGen, CrewAI, Semantic Kernel.

• Microsoft certifications: AI-102 (Azure AI Engineer), DP-100 (Azure Data Scientist Associate).

• Experience fine-tuning open-source LLMs (Llama, Mistral, Phi) using LoRA/QLoRA and serving via vLLM or Azure ML endpoints.

• Familiarity with observability/tracing for agents: LangSmith, Langfuse, Arize Phoenix, or OpenTelemetry.

• Knowledge of containerization and deployment: Docker, Kubernetes (AKS), Azure Container Apps.

• Big data experience with Apache Spark (PySpark) via Azure Databricks.

• Experience with knowledge graphs, graph RAG, or semantic layers for agent grounding.

• Contributions to open-source GenAI/agentic projects or published technical content.

Our salary and benefits

The initial basic salary for this position will be in the range of 13,591 PLN – 21,233 PLN per month. The final package will reflect your experience, skills, and qualifications relevant to the role. We are committed to fair, equitable, and gender-neutral pay practices.

• At Johnson Controls, your work comes with benefits that support both your career and your wellbeing.

• Meal vouchers fully covered by the company.

• Flexible benefits budget with access to 3,500+ options, including a MultiSport card, medical and wellness services.

• Extra savings through retail and lifestyle discounts (Benefit+).

• Allowance for the private kindergarten or nursery to support your family.

• Flexible working hours and home office days.

• Allowance for language courses, professional development support, and wellbeing support.

• On site benefits: massages, distribution of fruits, yoga, psychologist, health month, various events with supporting groups (volunteering activities, branding activities).

• Seniority benefits - extra monthly financial allowance, medical care and support, wellbeing day.

• Relocation support with housing allowance if moving to Slovakia

About Us

Johnson Controls, a global leader in thermal management, mission-critical building systems, energy efficiency, and decarbonization, helps customers use energy more productively, reduce carbon emissions, and operate with the precision and resilience required in rapidly expanding industries such as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education.

For more than 140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward.

We are committed to diversity and inclusion and believe that different perspectives make us stronger. By encouraging open dialogue and valuing individuality, we strive to be one of the most desirable places to work.