Data Scientist – Generative AI, Agentic AI, NLP & LLMs

TALENT Software Services; Chicago (IL); Presencial; USD 100.000 - 150.000; Jornada completa

Descripción de la vacante

TALENT Software Services in Chicago seeks a Data Scientist specializing in Generative AI, Agentic AI, NLP and LLMs to design scalable AI solutions for enterprise data. You will collaborate with engineering and business teams to deploy production AI, optimize RAG, and ensure responsible AI governance while mentoring junior data scientists.

Lead complex AI initiatives, implement robust evaluation frameworks, and drive adoption of enterprise AI across client projects.

Formación

• 7+ years in data science, analytics, ML or AI.
• Expertise in generative AI, agentic AI, NLP and LLMs.
• Strong knowledge of LLMs, prompt engineering, RAG, and human-in-the-loop workflows.
• Proficiency in Python, R, SQL, SAS or similar languages.
• Experience with Databricks, cloud platforms and distributed computing.
• Hands-on with vector databases, semantic search, knowledge graphs and metadata management.
• Experience deploying, monitoring and maintaining production AI solutions.
• Knowledge of Responsible AI, governance, explainability, bias detection, risk controls.

Responsabilidades

• Design and implement advanced ML, generative AI and agentic AI solutions.
• Build and deploy scalable data science products and assets.
• Design agentic AI architectures with LLMs, retrieval, APIs and business rules.
• Optimize RAG to improve retrieval quality and reliability.
• Develop AI evaluation frameworks for accuracy, latency and safety.
• Collaborate with engineering and client teams to deploy production AI.
• Monitor and improve deployed AI models and applications.
• Ensure responsible AI governance and risk management.
• Communicate findings to both technical and business stakeholders.

Conocimientos

Data science

Generative AI

Agentic AI

Natural Language Processing

Large Language Models

Machine Learning

Prompt engineering

RAG

Python

SQL

Educación

Bachelor's degree in CS/IS or related field

Herramientas

Databricks

Cloud platforms

Distributed computing

Vector databases

Semantic search

Knowledge graphs

Enterprise search

Production AI monitoring

Model governance

Descripción del empleo

• Work Location: 433 W Van Buren St, Suite 805, Chicago, IL 60607

Job Description: Data Scientist - Generative AI, Agentic AI, NLP & LLMs

Job Details

• Job Title: Data Scientist - Generative AI / Agentic AI / NLP / LLMs
• Location: Chicago, Illinois
• Work Location: 433 W Van Buren St, Suite 805, Chicago, IL 60607
• Duration: 6 months
• Start Date: November 1, 2026
• Contract Duration Mentioned: 24 months
• Experience Required: 7+ years (6-8 years listed in role requirements)
• Base Salary Range: $118K (minimum and maximum range not specified)
• Education: Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.

Must-Have Technical/Functional Skills

• 7+ years of relevant experience in data science, analytics, machine learning, or AI.
• Expertise in statistical modeling, machine learning, generative AI, agentic AI, and Natural Language Processing (NLP).
• Strong knowledge of Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), autonomous decision-making frameworks, and human-in-the-loop workflows.
• Proficiency in Python, R, SQL, SAS, or similar analytical programming languages.
• Experience with Databricks, cloud-based platforms, and distributed computing.
• Hands-on experience with vector databases, semantic search, knowledge graphs, metadata management, and enterprise search.
• Experience deploying, monitoring, and maintaining production AI solutions.
• Knowledge of Responsible AI, model governance, explainability, bias detection, hallucination evaluation, and risk controls.

Roles and Responsibilities

• Design and implement advanced machine learning, generative AI, and agentic AI solutions using structured and unstructured data.
• Build and deploy scalable, automated data science products and reusable analytical assets.
• Design agentic AI architectures integrating LLMs, retrieval systems, structured data, APIs, tools, business rules, routing logic, and approval checkpoints.
• Optimize RAG solutions to improve retrieval quality, accuracy, and response reliability.
• Develop AI evaluation frameworks to measure accuracy, reliability, hallucination risk, latency, cost, safety, and consistency.
• Collaborate with engineering, platform, business, and client teams to deploy production-ready AI solutions.
• Monitor, maintain, and improve deployed AI models and applications.
• Ensure responsible AI practices, governance, validation, explainability, and risk management.
• Communicate technical findings and AI solution outcomes to business and technical stakeholders.

Generic Managerial Skills

• Lead complex analytics and AI initiatives.
• Provide technical guidance and mentorship to data scientists.
• Conduct code reviews and promote coding best practices.
• Make analytical and architectural decisions.
• Establish technical standards and reusable frameworks.
• Communicate complex analytical findings to technical and non-technical audiences.
• Collaborate with stakeholders and clients on strategic, operational, and clinical objectives.

Keywords to Search in Resumes

• Core Roles: AI Engineer, Data Scientist, Machine Learning Engineer, Data Science, Statistical Modeling.
• AI and ML: Machine Learning (ML), Generative AI, Agentic AI, Natural Language Processing (NLP), Large Language Models (LLMs).
• LLM Technologies: Prompt Engineering, Retrieval-Augmented Generation (RAG), Autonomous Decision-Making, Human-in-the-Loop.
• Programming and Platforms: Python, R, SQL, SAS, Databricks, Distributed Computing, Cloud Data Platforms.
• Search and Data Technologies: Vector Databases, Semantic Search, Knowledge Graphs, Metadata Management, Enterprise Search.
• Responsible AI: Model Governance, Explainability, Bias Detection, Hallucination Evaluation, Model Validation, Production AI Monitoring.

Pre-Screening Questionnaire

• Do you have 7 or more years of relevant experience in data science, analytics, machine learning, or AI?
• Describe your hands-on experience with machine learning, generative AI, agentic AI, NLP, LLMs, prompt engineering, and RAG.
• Have you designed agentic workflows using retrieval systems, APIs, tools, business rules, routing logic, escalations, and human approval checkpoints?
• Which programming languages and platforms have you used, including Python, R, SQL, SAS, Databricks, cloud, or distributed computing platforms?
• Have you deployed and monitored production AI solutions?
• Do you have experience with Responsible AI, model governance, explainability, bias detection, validation, and risk controls?

Role Description

• Data Scientist specializing in Generative AI, Agentic AI, Natural Language Processing (NLP), Large Language Models (LLMs), Data Science, and Machine Learning (ML).

Essential Skills

• Data Science
• Generative AI
• Agentic AI
• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Machine Learning (ML)

Desirable Skills

• Cloud-based AI platforms
• Databricks and distributed computing
• Vector databases and semantic search
• Knowledge graphs and enterprise search
• AI governance and model monitoring

Skills Classification

• Digital: Data Science
• Digital: Natural Language Processing (NLP)
• AI & Generative AI: Products and Tools