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8d

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Artificial Intelligence Engineer

firstPRO Inc. -
Boston, MA

Quick Apply

Job Details

Contract
$60 - $75 an hour

Qualifications

AI models
Software engineering
Tooling
Application Architecture Design (Architecture design skill)
Software implementation
Generative models
AI platforms (beyond public GPTs)
Scalable systems
Computational framework
Enterprise software systems development
Prompt engineering
Production systems
Machine intelligence
Bachelor's degree
JavaScript
Developing large-scale AI models
Scalability
Machine learning libraries
AI
Model evaluation
Machine learning frameworks
Implementing IT solutions
Developer tools
Python
Design (software development lifecycle)
Generative AI
Cross-functional communication

Full Job Description

AI Engineer

firstPRO US is currently accepting resumes on behalf of our insurance industry client for an AI Engineer opportunity focused on designing and delivering enterprise Generative AI and Agentic AI solutions that enhance business operations, automate workflows, and improve customer experiences.

This individual will play a key role in developing scalable AI capabilities leveraging large language models (LLMs), retrieval-based architectures, intelligent agents, and enterprise data integrations. The ideal candidate combines strong software engineering fundamentals with hands-on experience building production-ready AI applications and autonomous systems.

This position partners closely with engineering, infrastructure, product, and business stakeholders to identify opportunities where AI can create measurable operational impact across the organization.

Responsibilities

Build and deploy enterprise AI applications utilizing large language models, retrieval-based architectures, and intelligent workflow automation.
Design AI-driven services and autonomous agent frameworks capable of handling complex multi-step tasks and business processes.
Develop scalable retrieval pipelines and semantic search capabilities using vector databases and internal enterprise content.
Create AI-powered assistants, conversational interfaces, and backend AI services for both employee and customer-facing solutions.
Integrate AI systems with existing business applications, APIs, cloud environments, and data platforms.
Establish prompt engineering strategies, testing methodologies, monitoring standards, and governance controls to improve reliability and performance.
Enhance model quality through orchestration techniques, evaluation pipelines, prompt optimization, and tuning strategies.
Contribute to AI platform engineering efforts, including observability, deployment automation, and lifecycle management.
Collaborate with internal stakeholders and external partners to evaluate and implement emerging AI technologies and platforms.
Research evolving trends in Generative AI, agentic systems, orchestration frameworks, and enterprise AI architecture.

Required Qualifications

Bachelor’s or advanced degree in Computer Science, Artificial Intelligence, Data Science, Applied Mathematics, or a related technical field.
Professional experience developing software applications with exposure to machine learning or AI technologies.
Demonstrated experience delivering AI or LLM-enabled solutions in production environments.
Strong Python development background with experience using AI/ML libraries and data processing frameworks.
Experience working with modern LLM platforms and tooling, including commercial and open-source ecosystems.
Familiarity with orchestration frameworks such as LangChain, LlamaIndex, or comparable technologies.
Experience designing semantic search or retrieval-based AI solutions utilizing embeddings and vector databases.
Understanding of prompt design, model evaluation, and responsible AI implementation practices.
Experience building APIs, backend services, and scalable application architectures.
Exposure to modern AI development tools and coding assistants.
Strong communication skills with the ability to work cross-functionally across technical and non-technical teams.

Preferred Experience

Experience developing autonomous AI agents or multi-agent workflow systems.
Familiarity with frameworks such as LangGraph, AutoGen, CrewAI, Semantic Kernel, or related ecosystems.
Exposure to fine-tuning strategies or parameter-efficient adaptation methods for LLMs.
Experience deploying AI workloads in cloud environments such as AWS, Azure, or Google Cloud.
Knowledge of enterprise application ecosystems built with Java or JavaScript technologies.
Familiarity with MLOps or LLMOps tooling, observability, and automated evaluation workflows.
Experience implementing AI governance standards, compliance controls, and operational guardrails for enterprise AI systems.

Pay: $60.00 - $75.00 per hour

Work Location: In person

Quick Apply

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aws cloud llmops jobs

Artificial Intelligence Engineer

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