Python/AI Product Engineer

ACA Group • Durham, NC

4d

About The Position

We are seeking a highly experienced Senior / Lead AI Developer to join our growing AI Engineering team. This role is ideal for a hands-on technical leader who is passionate about building enterprise-grade AI systems and agentic architectures using modern LLM frameworks and cloud-native technologies. The ideal candidate has deep expertise in Python development, distributed cloud architectures, databases, and modern AI orchestration frameworks such as LangChain and LangGraph. This individual will play a key role in architecting and developing scalable AI platforms, mentoring engineers, and driving technical innovation across the organization. This position requires both strong technical depth and leadership capabilities. The candidate must be comfortable designing complex systems, collaborating with stakeholders, mentoring developers, and contributing directly to implementation.

Requirements

• Deep expertise in Python development
• Deep expertise in distributed cloud architectures
• Deep expertise in databases
• Experience with modern AI orchestration frameworks such as LangChain and LangGraph

Responsibilities

• Architect, design, and develop enterprise AI applications and agentic systems using Python and modern LLM frameworks
• Lead development of AI agents, orchestration workflows, MCP integrations, RAG pipelines, and intelligent automation services
• Build scalable and secure cloud-native AI services within Amazon Web Services (AWS) environments
• Design and implement multi-agent workflows using LangChain, LangGraph, and related orchestration technologies
• Develop and optimize vector search, document processing, metadata extraction, and retrieval systems
• Design scalable APIs, microservices, and asynchronous processing pipelines
• Work closely with product, infrastructure, and compliance teams to translate business requirements into technical solutions
• Mentor and guide junior and mid-level engineers through architecture reviews, code reviews, and technical coaching
• Establish engineering best practices around testing, observability, security, scalability, and AI governance
• Evaluate emerging AI technologies, frameworks, and models to drive innovation within the platform
• Participate in roadmap planning, technical strategy, and sprint execution
• Troubleshoot and optimize production AI workloads and distributed systems

Benefits

• Medical coverage
• Dental coverage
• 401(k) plans
• Flexible work environment
• Paid time off options
• Designated ACA Paid Holidays
• Summer Fridays
• Personal/Family Care leave
• Other leaves of absence
• Student Debt Forgiveness
• Pet Insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed