Machine Learning

Globant; New York (NY); On-site; USD 82,000 - 110,000; Full time

Job summary

Globant is seeking an AI / Machine Learning Engineer to support AI initiatives across business and technology teams in Hartford, CT. You will develop and prototype AI solutions, work with LLMs and generative AI, and build production-ready systems using Python, ReactJS, and NodeJS.

You will collaborate with data, engineering, and business stakeholders, advance MLOps practices, and promote responsible AI governance, ethics, and bias mitigation while communicating complex concepts to both technical

Qualifications

• Bachelor's degree or equivalent professional experience in CS/STEM.
• Hands‑on experience with AI/ML, Generative AI, or advanced analytics.
• Strong understanding of machine learning fundamentals and model evaluation.
• Experience with LLMs, OpenAI, prompt engineering, and Generative AI.
• Experience with Python, ReactJS, and NodeJS.
• Familiarity with agentic AI frameworks such as LangChain, Strands, or CrewAI.
• Experience with RAG, vector databases, tool/function calling, and agentic workflows.
• Understanding of MLOps, AI Ops, and CI/CD for AI solutions.
• Experience with Jenkins and GitHub.
• Experience working with tools/models such as Claude and Copilot.
• Strong analytical, problem‑solving, and communication skills.
• Ability to work effectively in Agile and cross‑functional environments.

Responsibilities

• Develop and prototype AI/ML, Generative AI, and agentic AI solutions to address real business problems.
• Work with foundation models, LLMs, prompt engineering, fine-tuning, and multimodal AI.
• Design and implement RAG, vector database, memory, tool-use, and function-calling solutions.
• Support multi-agent workflows and autonomous AI capabilities.
• Develop applications and integrations using Python, ReactJS, and NodeJS.
• Conduct AI experimentation, proof-of-concepts, testing, and model evaluation.
• Partner with data, engineering, and business teams to move AI solutions toward production.
• Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices.
• Promote responsible AI practices, including governance, ethics, and bias mitigation.
• Communicate technical AI concepts effectively to both technical and non-technical stakeholders.

Skills

Python

ReactJS

NodeJS

Generative AI

LLMs

Agentic AI

Prompt Engineering

MLOps

CI/CD

Communication

Agile

Cross-functional

Education

Bachelor's degree in Computer Science, STEM, or equivalent professional experience

Tools

OpenAI

LangChain

Jenkins

GitHub

Claude

Copilot

Job description

About The Role

We are seeking an AI / Machine Learning Engineer to support AI and emerging technology initiatives across business and technology teams. The ideal candidate will have hands-on experience with AI/ML, Generative AI, LLMs, and agentic AI, along with strong software development skills in Python, ReactJS, and NodeJS.

Job title: Machine Learning

Location: HARTFORD, CT

Employment type: Full-time

Salary Range: 82,000–110,000 annually

About The Role

We are seeking an AI / Machine Learning Engineer to support AI and emerging technology initiatives across business and technology teams. The ideal candidate will have hands-on experience with AI/ML, Generative AI, LLMs, and agentic AI, along with strong software development skills in Python, ReactJS, and NodeJS.

This role will focus on developing and prototyping AI solutions, experimenting with modern AI frameworks, and helping move AI use cases from proof-of-concept toward production.

Key Responsibilities

• Develop and prototype AI/ML, Generative AI, and agentic AI solutions to address real business problems.
• Work with foundation models, LLMs, prompt engineering, fine-tuning, and multimodal AI.
• Design and implement RAG, vector database, memory, tool-use, and function-calling solutions.
• Support multi-agent workflows and autonomous AI capabilities.
• Develop applications and integrations using Python, ReactJS, and NodeJS.
• Conduct AI experimentation, proof-of-concepts, testing, and model evaluation.
• Partner with data, engineering, and business teams to move AI solutions toward production.
• Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices.
• Promote responsible AI practices, including governance, ethics, and bias mitigation.
• Communicate technical AI concepts effectively to both technical and non-technical stakeholders.

Required Qualifications

• Bachelor's degree in Computer Science, STEM, or equivalent professional experience.
• Experience with AI/ML, Generative AI, or advanced analytics.
• Strong understanding of machine learning fundamentals and model evaluation.
• Hands‑on experience with LLMs, OpenAI, prompt engineering, and Generative AI.
• Experience with Python, ReactJS, and NodeJS.
• Familiarity with agentic AI frameworks such as LangChain, Strands, or CrewAI.
• Experience with RAG, vector databases, tool/function calling, and agentic workflows.
• Understanding of MLOps, AI Ops, and CI/CD for AI solutions.
• Experience with Jenkins and GitHub.
• Experience working with tools/models such as Claude and Copilot.
• Strong analytical, problem‑solving, and communication skills.
• Ability to work effectively in Agile and cross‑functional environments.

Preferred Qualifications

• Experience with AWS Bedrock.
• Exposure to Azure or Google Cloud Platform (GCP) AI services.
• Experience with multimodal AI and fine‑tuning techniques.
• Experience taking AI solutions from experimentation or POC through production deployment.

Mandatory Skillset

• Python
• OpenAI / LLMs
• ReactJS
• NodeJS
• Jenkins
• GitHub
• Claude
• Copilot

For additional information regarding benefits, please see the Globant Experience Guide.

Accommodations

Accommodations: If you have a need that requires an accommodation, please let us know by contacting the recruiting team at [e-mail]

Applicant Privacy

Globant will collect and process your information as a part of this application should you choose to submit it. For additional information please see Globant’s Privacy Policy.

Equal Employment Opportunity

Globant is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of any basis protected by law. For Canadian job postings, Globant does not discriminate based on any Canadian Federal or Provincial anti‑discrimination law, and offers the same opportunities to all applicants regardless of characteristics.

Use of AI

Globant may use AI and machine learning technologies in our recruitment process. Globant is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. Globant is also committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.