Senior AI/ML Engineer (LLM/Agentic)

Job Description

Location : Onsite in Jersey City, NJ

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Please only apply if you are able to work onsite from Jersey City, NJ

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At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation.

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We seek a Senior AI/ML Engineer (LLM / Agentic Systems) - Senior-Level (Senior / SWD-SR L2 and up) who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era.

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About the role

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We are seeking a qualified Senior AI/ML Engineer to support in designing, developing, and deploying production-grade AI, machine learning, and LLM-powered agentic solutions. This role is responsible for performing the essential functions listed below and requires the skills and experience described. You will collaborate closely with cross-functional teams and senior stakeholders to build high-impact digital products, predictive models, and real-time retrieval architectures.

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Job Responsibilities

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• Architect, build, and deploy production-grade LLM-powered and agentic applications, incorporating robust tracing, evaluations, guardrails, and memory design.
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• Develop, validate, monitor, and retrain predictive or optimization models in production environments to ensure sustained model health and accuracy.
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• Design and implement practical RAG solutions (retrieval quality, embeddings, vector stores, and knowledge graphs).
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• Build and maintain scalable ML pipelines using platforms such as Databricks, AWS SageMaker, MLflow, and Kubernetes (AWS EKS).
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• Manage structured and unstructured data, real-time processing pipelines, and databases using SQL (e.g., Postgres) and NoSQL stores (e.g., OpenSearch, Redis).
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• Partner effectively with senior technical and business stakeholders to communicate complex machine learning concepts and deliver business value.
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• Support model risk management and regulatory reviews as required by client or domain specifications.
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Minimum Qualifications

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• MS in Computer Science, Statistics, Mathematics, Machine Learning, or a related field (or equivalent practical experience).
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• 6–9 years of professional software/ML development experience, with at least 4 years dedicated to AI/ML solutions.
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• Hands-on experience building LLM-powered or agentic applications in production, including tracing, evaluations, and guardrails.
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• Hands-on experience taking predictive or optimization models to production and keeping them healthy in production (validation, monitoring, retraining).
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• Practical RAG experience — retrieval quality, embeddings, and vector stores.
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• Strong programming skills in Python, with deep knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics.
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• Knowledge of Kubernetes (AWS EKS).
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• Experience training models in Databricks and SageMaker, and working with MLflow.
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• Expert knowledge of at least one major platform/tool: AWS, Azure, or Kubernetes.
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• Knowledge of data management, data model design, and real-time processing using both SQL (e.g., Postgres) and NoSQL stores (e.g., OpenSearch, Redis).
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• Excellent verbal and written communication skills in English.
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Preferred Qualifications

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• Experience with pricing, revenue management, elasticity, or demand forecasting models in a production setting.
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• Experience with mathematical optimization (linear/mixed-integer programming, e.g., OR-Tools or Gurobi) and constrained recommendation problems.
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• Experience with causal inference, uplift modeling, or experiment design where randomization is limited.
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• Graph RAG experience, knowledge graphs, and graph databases used for retrieval.
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• Experience delivering models through model risk management or equivalent regulatory review.
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• Experience working in the financial or payments domain at a large institution (Investment Banking, Markets, Securities Services), or with commercial card, treasury services, or billing and revenue systems.
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• Experience with agent frameworks/runtimes, A2A, MCP, or agent memory design (memory nodes, episodic/semantic memory).
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• Understanding of LLM fine-tuning and small language model (SLM) inference.
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• Ability to develop full-stack products using modern JavaScript/TypeScript frameworks (e.g., Next.js, Svelte) for agent UIs (AG-UI / NEO UI SDK).
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• Knowledge of high-performance systems languages such as Go or Rust.
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What Will Help You Succeed

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• Python, ML & LLMs / Agentic Frameworks (Mandatory)
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• RAG & Vector Stores / Embeddings (Mandatory)
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• Cloud & Orchestration: AWS/Azure, Kubernetes (EKS), Databricks, MLflow, SageMaker (Mandatory)
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• SQL / NoSQL (Postgres, OpenSearch, Redis) (Mandatory)
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• Graph RAG / Knowledge Graphs & Optimization (Gurobi, OR-Tools) (Preferred)
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• Full-Stack Agent UI (Next.js / Svelte / TypeScript) or Go / Rust (Preferred)
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Location & Work Mode

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This position can be filled in Jersey City, NJ

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Other Requirements

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• Physical requirements: Able to operate standard office equipment and work at a computer desk, with or without a reasonable accommodation.
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Benefits

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Benefits for this position will likely include the following:

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• Unlimited paid time off.
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• Healthcare benefits.
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• Dental benefits.
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• Vision benefits.
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• Disability insurance.
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• Life insurance benefits.
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• Retirement benefits, including 401(k) and a potential company match.
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• Parental leave for both birthing (up to 14 weeks of paid leave) and non-birthing parents (up to 4 weeks paid leave), as well as adoption leave (up to 8 weeks of paid leave), subject to qualifications.
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• Child hospitalization leave (up to 15 paid calendar days per year), subject to qualifications.
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• “Be kind to yourself day” on your anniversary (subject to terms and conditions).
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• Graduation and birthing gifts, subject to eligibility.
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• Paid Jury duty (up to 4 weeks a year), subject to eligibility.
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• Paid moving days (up to 2 days a year), subject to eligibility.
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• Approximately 12 paid company holidays a year.
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For additional information regarding benefits, please see the Globant Experience Guide.

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Accommodations

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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.

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Equal Employment Opportunity

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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.

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Use of AI

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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.