Agentic AI Engineer

Boston, MA, US • Posted 2 hours ago • Updated 2 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

PROBLEM SOLVING
USER EXPERIENCE
software design patterns
Cloudwatch
AMAZON WEB SERVICES
BUILD MANAGEMENT
ARTIFICIAL INTELLIGENCE
Grafana
Cloud Engineering
generative AI
innovation
Serverless Computing
Large Language Models
Prompt Engineering
vector databases
Application Programming Interfaces (APIs)
Multi-Agent Systems
Python (Programming Language)
Information Engineering
Virtual Agents
Intelligent Systems
Autonomous System
Ecosystems
Forward-Thinking
Semantics
Web Application Frameworks

Summary

Agentic AI Engineer

Location: Boston, MA
Experience: 6+ Years

Role Overview

We are looking for a forward-thinking Agentic AI Engineer to design and build next-generation intelligent systems powered by Large Language Models (LLMs) and advanced agentic frameworks. This role offers the opportunity to work at the forefront of AI innovation, developing scalable, autonomous systems that solve complex business problems.

What You'll Do

Design and develop agentic AI solutions using modern frameworks such as LangChain, LangGraph, Semantic Kernel, or CrewAI
Build and deploy multi-agent architectures on AWS using Bedrock AgentCore capabilities (Memory, Runtime, Gateway)
Implement RAG-based systems leveraging vector databases and embedding models
Develop and optimize LLM-powered applications, including prompt engineering, fine-tuning, and evaluation
Create scalable, serverless AI solutions using AWS services (Lambda, EKS, APIs)
Integrate AI systems with enterprise platforms through APIs and data connectors
Monitor, troubleshoot, and enhance system performance using observability tools like CloudWatch
Collaborate with cross-functional teams including product, data engineering, and UX to deliver impactful AI solutions

What You Bring

Strong hands-on experience with agent frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI)
Proficiency in Python and modern AI/ML ecosystems
Deep understanding of LLMs, prompt engineering, and generative AI concepts
Experience with AWS (Bedrock, Lambda, EKS) and cloud-native architectures
Knowledge of RAG, vector databases, and AI system design patterns
Strong problem-solving mindset and ability to work in fast-paced, innovation-driven environments

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10209652
Position Id: 2026-225811
Posted 2 hours ago

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