AssetWorks LLC

AI / ML Engineer

United States - Wayne, PA, USA

Sponsorship not specifiedDetected 64 days ago

PythonC#.NETSQLPostgreSQLVector DatabasesAzureMachine LearningLLMsRAGAgentic AIAI OrchestrationLeadershipMentoring

About the role

In this role, you won't just be using AI to write code
Our philosophy is centered on human augmentation.
Model Fine-Tuning: Hands-on experience preparing datasets and executing the fine-tuning of open-source or proprietary models.

Architect Agentic Workflows: Design and implement multi-agent systems and autonomous workflows using flow-based orchestration and chain-of-thought reasoning.
Database & Vector Management: Manage enterprise data and high-dimensional vector embeddings within PostgreSQL, ensuring efficient retrieval for RAG (Retrieval-Augmented Generation) pipelines.
LLM Integration & Optimization: Lead the integration of LLMs via Azure OpenAI, focusing on prompt engineering, model parameter tuning, and performance monitoring.
Fine-Tuning: Identify opportunities where fine-tuning specific models can improve domain-specific performance and lead the data preparation and execution process.
System Orchestration: Build and manage AI middleware that connects LLMs to PostgreSQL, enterprise data sources, and third-party APIs.
Technical Leadership: Create playbooks for AI development and mentor the team on LLM best practices, ensuring AI-generated outputs meet rigorous accuracy standards.
Agentic Frameworks: Proven experience building AI Agents (e.g., using orchestration frameworks, LangChain, or flow-based visual programming tools).

AI Specialization: 1+ years of experience building AI-powered applications, with a deep understanding of LLM capabilities, limitations, and prompt engineering.
Database Expertise: Strong proficiency in PostgreSQL (or other relational databases), including experience with relational schema design and ideally pgvector for managing vector embeddings.
Azure AI Ecosystem: Proficiency in the Azure environment, specifically Azure OpenAI Service and Azure App Services.
1+ years of experience building AI-powered applications, with a deep understanding of LLM capabilities, limitations, and prompt engineering.
Proficiency in the Azure environment, specifically Azure OpenAI Service and Azure App Services.

Azure cloud experience (App Services, Functions, SQL Database, Vector Databases)
Familiarity with Python for AI prototyping and data manipulation.
Experience with microservices architecture
Knowledge of AI security, specifically mitigating prompt injection and ensuring data privacy in RAG.
Familiarity with monorepo tooling
Experience mentoring or leading other developers
11 Paid Holidays
401k with employer match which immediately vests

Generous Paid Time Off
Medical, Dental, Vision, Life insurance benefits with various choices and generous employer contribution
Annual Company Bonus
Tuition Reimbursement Program
Optional Employee Stock Purchase Program with company match
Flexible remote work arrangements

We are looking for an AI/ML Engineer to lead the technical implementation of our generative AI roadmap. In this role, you won't just be using AI to write code
We are looking for an AI/ML Engineer to lead the technical implementation of our generative AI roadmap.
What We're Looking For

This listing is sourced directly from AssetWorks LLC's careers page and normalized into a canonical job model.