Senior AI Engineer

Insight Global

Woonsocket, United States of America

2 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Compensation

$ 125K

Job location

Woonsocket, United States of America

Tech stack

Artificial Intelligence

Cloud Computing

Software Design Patterns

Monitoring of Systems

Python

Node.js

Open Source Technology

Software Engineering

Cloud Platform System

Large Language Models

Multi-Agent Systems

Prompt Engineering

Reliability of Systems

FastAPI

Build Management

Kubernetes

GraphQL

Virtual Agents

Api Design

Microservices

Job description

We are looking for an experienced AI Engineer to join a growing team focused on building and scaling agentic AI solutions in production.

This role is highly hands-on and requires someone who can go beyond just using tools-someone who can design, build, and optimize AI systems while clearly articulating how and why solutions are implemented.

What You'll Be Doing

Design and build agentic AI systems using frameworks like LangGraph and LangChain
Develop and optimize RAG-based architectures to support business use cases
Enhance existing AI solutions by identifying gaps and improving performance and scalability
Build and deploy API-driven, microservices-based AI applications in cloud environments (GCP preferred)
Implement prompt engineering strategies and agent workflows across multiple use cases
Collaborate with engineering leads to productionize AI systems, including:

o CI/CD pipelines

o Monitoring and observability

o System reliability and scalability

Work closely with stakeholders to translate business use cases (workflow automation, patient/pharmacy solutions) into technical solutions

Requirements

8+ years of software engineering experience with 3+ years in AI/ML or LLM-based development
Hands-on experience with LLM orchestration frameworks (LangGraph, LangChain, Semantic Kernel)
Experience building agentic AI systems / autonomous agents (OpenAI, Anthropic, or open-source models)
Strong proficiency in:

o Python (primary)

o FastAPI

o Vector databases (FAISS, Weaviate, etc.)

o RAG pipelines (design + implementation)

Experience deploying AI solutions in Cloud Environment (GCP preferred)
Experience with CI/CD pipelines * Experience with GraphQL
Exposure to Node.js
Deep experience with agent design patterns and prompt engineering techniques
Experience customizing LangGraph workflows or similar orchestration frameworks
Familiarity with:

o Model Context Protocols

o Agent-to-agent communication / authentication

Experience in healthcare / pharmacy workflows or workflow automation
Strong analytical mindset with ability to improve existing use cases (not just build net new)