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AI Systems Engineer | Agentic Platforms

Summary by AIEngineer.careers

AI Systems Engineer | Agentic Platforms is a AI Systems Engineer role (full-time). with SDL Search Partners. in BOSTON, US. Imported listing (source: tealhq.com). Apply on the employer's site (tealhq.com).

Imported listing (source: tealhq.com) · Apply on tealhq.com

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BOSTON · US
—
Full-time
SENIOR
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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from tealhq.com

The AI Systems Engineer joins a growing Data Science & AI team to build enterprise-scale AI solutions, including agentic applications and retrieval-augmented generation systems. The role spans the full AI development lifecycle, from requirements gathering and data preparation to prompt engineering, deployment, and production optimization. The engineer partners with business stakeholders to translate needs into scalable, production-ready applications and helps shape AI best practices across the organization.

Responsibilities

  • Design, develop, fine-tune, and deploy AI models and agentic applications
  • Build scalable, production-ready AI solutions and maintain them in production
  • Collaborate with business teams to gather requirements and translate them into technical solutions
  • Establish best practices for evaluating AI applications (accuracy, latency, scalability, reliability, cost)
  • Develop and maintain data pipelines for model training and inference
  • Mentor junior engineers and data scientists and promote AI engineering best practices
  • Lead complex technical initiatives and foster cross-functional collaboration

Requirements

  • Advanced Python development skills for AI/ML and backend web systems
  • Experience designing and deploying AI agents for reasoning, planning, and complex workflows
  • Hands-on experience with vector databases and search technologies such as Pinecone for RAG
  • Experience with AWS services including EC2, EKS, S3, and Lambda
  • Familiarity with Docker and Kubernetes
  • Experience with infrastructure-as-code using Terraform
  • Strong understanding of large-scale data processing, distributed computing, and feature engineering
  • Several years of hands-on experience deploying ML, NLP, or AI solutions in production
  • Excellent written and verbal communication skills
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field

Nice to Have

  • Machine learning CI/CD pipelines and experiment tracking with MLflow and Weights & Biases
  • Model development and optimization with XGBoost and Scikit-Learn
  • Working knowledge of React or similar frameworks for user-facing AI applications

Tech Stack

AWSDockerEC2EKSKubernetesLambdaLLMsMLflowNLPPineconePythonRAGReactS3Scikit-learnTerraformVector DatabasesWeights & BiasesXGBoost
SDL Search Partners

SDL Search Partners

Boston · US · 5+ employees

SDL Search Partners is a woman-owned professional search firm headquartered at 24 School Street in Boston, Massachusetts, founded in 2022 by former Accounting & Finance professionals Sarah Dardeno and David Lewis. The firm specializes in accounting and finance staffing solutions, serving clients throughout Greater Boston and New England with a values-first, relationship-driven approach.

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