Senior AI Software Engineer (Agentic AI) (contract)

Role overview

Responsibilities

• check_circle Design, build, and enhance AI agents that automate marketing campaign activities.
• check_circle Create multi-agent workflows where AI agents collaborate to complete business tasks.
• check_circle Implement Agentic AI orchestration patterns and decision-making frameworks.
• check_circle Support production AI agents and develop new agents as the platform scales from 6 to 20+ agents.
• check_circle Develop and maintain Python-based backend applications.
• check_circle Design scalable microservices architectures.
• check_circle Build fault-tolerant, highly available distributed systems.
• check_circle Create event-driven services that integrate with enterprise platforms.
• check_circle Design and develop REST APIs.
• check_circle Integrate AI agents with internal and external systems.
• check_circle Build service-to-service communication layers.
• check_circle Support API performance, reliability, and scalability.
• check_circle Integrate Large Language Models into business workflows.
• check_circle Develop Retrieval-Augmented Generation (RAG) solutions.
• check_circle Build hybrid RAG and knowledge graph-enhanced AI systems.
• check_circle Implement prompt engineering and prompt orchestration strategies.
• check_circle Configure tool calling and model routing capabilities.
• check_circle Architect scalable AI workflows.
• check_circle Design agent orchestration frameworks.
• check_circle Optimize AI systems for:
• check_circle Cost
• check_circle Accuracy
• check_circle Latency
• check_circle Reliability
• check_circle Implement AI guardrails and controls.
• check_circle Build hallucination detection mechanisms.
• check_circle Apply PII redaction and data protection controls.
• check_circle Maintain audit logging and model monitoring.
• check_circle Support human-in-the-loop validation processes.
• check_circle Design and manage vector database architecture.
• check_circle Build embedding pipelines.
• check_circle Develop semantic retrieval systems.
• check_circle Implement re-ranking strategies to improve AI response quality.
• check_circle Work with Kafka and streaming data pipelines.
• check_circle Process large-scale enterprise data for AI applications.
• check_circle Support real-time data ingestion and retrieval workflows.
• check_circle Profile and tune Python applications.
• check_circle Improve database and query performance.
• check_circle Implement caching strategies.
• check_circle Leverage AsyncIO and multiprocessing for scalability.
• check_circle Monitor system reliability and production health.
• check_circle Participate in daily standups.
• check_circle Work closely with architects, engineers, and AI specialists.
• check_circle Troubleshoot technical issues and blockers.
• check_circle Contribute to solution design and technical decision-making.
• check_circle Provide production support for deployed AI agents.

Basic qualifications

• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
• Python: 5+ years
• Microservices: 5+ years
• API Development/Integration: 5+ years
• MongoDB: 5+ years

Preferred qualifications

• Agentic AI: 2+ years preferred
• Strong backend Python developer with experience building and supporting microservices-based applications.
• Experience designing and consuming APIs.
• Familiarity with Large Language Models (LLMs), Agentic AI frameworks, and AI orchestration concepts.
• Experience working with MongoDB and vector databases.
• Financial services experience is not required.

Benefits

• check_circle Health Insurance
• check_circle Life insurance
• check_circle 401K
• check_circle Voluntary Benefits