Ai Engineer

Job Description

Job Title: AI Engineer
Location: Wilmington, DE
Pay Rate:
Duration: 12 months

We are seeking a Senior Generative AI Engineer to design, build, and deploy enterprise-scale LLM, RAG, and agentic AI solutions. This role focuses on developing autonomous agent systems, scalable retrieval architectures, and production-grade AI microservices using Python and cloud-native technologies.

Key Responsibilities

• Build and optimize LLM-driven agents, multi-agent systems, and tool-using AI workflows

• Design and implement RAG pipelines, including embeddings, vector search, retrieval, and prompt frameworks

• Develop Python microservices and AI APIs using FastAPI, Flask, LangChain, and LlamaIndex

• Implement LLM orchestration, function-calling, guardrails, evaluation frameworks, and safety controls

• Deploy AI solutions on GCP (GKE, Vertex AI, Cloud Run) and Kubernetes/OpenShift platforms

• Build CI/CD pipelines and support DevOps and DevSecOps best practices

• Work with vector databases such as Pinecone, Redis, MongoDB Atlas Vector Search, Chroma, and pgVector

• Participate in architecture reviews, AI governance, and enterprise risk/security standards

• Lead POCs, innovation initiatives, and engineering improvements

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field

• 3+ years of experience building Generative AI, LLM, or agentic AI systems

• Strong Python expertise (APIs, microservices, async programming, distributed systems)

• Experience deploying applications on GCP and Kubernetes/OpenShift

• Hands-on experience with RAG pipelines, embeddings, vector search, and LLM orchestration

• Experience with CI/CD, DevOps tools, and modern development workflows

• Ability to work independently and drive engineering initiatives

Preferred Qualifications

• Experience with LangChain, LlamaIndex, OpenAI, or Google Gemini APIs

• Experience with observability tools such as Grafana, Prometheus, or Cloud Logging

• Strong communication skills and ability to work with technical and business teams

Key Skills

• • Python Development

  • Generative AI / LLM Engineering

  • Agentic AI / Multi-Agent Systems

  • RAG Pipelines & Vector Databases

  • GCP / Kubernetes / OpenShift

  • FastAPI / Microservices

  • CI/CD & DevOps