AI Lead Developer

SID Global Solutions; Exton (PA); On-site; USD 120,000 - 150,000; Full time

Job summary

SID Global Solutions is seeking an AI Lead Developer in Exton, PA. In this full-time role, you'll architect and deploy enterprise-scale AI solutions, lead development teams, and drive AI innovation.

The ideal candidate has over 10 years of software experience with a strong focus on AI/GenAI solutions, demonstrating expertise in Python, FastAPI, and cloud-native deployments. This position offers the opportunity to grow into a leadership role in AI strategy and innovation.

Qualifications

• 10+ years of software engineering experience with 4+ years in AI/GenAI solutions.
• Strong Python development experience with FastAPI or Flask.
• Hands-on experience with LangChain, LangGraph, AutoGen, ADK, MCP and Multi-Agent Architectures.

Responsibilities

• Design and develop enterprise-grade Agentic AI and Generative AI solutions.
• Build multi-agent systems using related frameworks.
• Develop RAG-based applications leveraging vector databases.

Skills

Python development with FastAPI or Flask

AI/GenAI solutions experience

Experience with LangChain, LangGraph, AutoGen

Building RAG pipelines and vector search solutions

Experience with cloud platforms (AWS/Azure/GCP)

Experience with Docker and Kubernetes

Understanding of AI security

Tools

Docker

Kubernetes

Python

FastAPI

LangChain

Vector databases (Pinecone, Weaviate)

Job description

AI Lead Developer – Agentic AI & GenAI Solutions

Location: Exton, PA Onsite Employment Type: Full-Time We are seeking a hands‑on AI Lead Developer to architect, build, and deploy enterprise‑scale Agentic AI, Generative AI, and Multi‑Agent Solutions. This role requires strong expertise in AI architecture, LLM‑powered applications, cloud‑native deployments, and scalable AI platforms. The ideal candidate will lead the development of intelligent AI systems while mentoring engineering teams and driving AI innovation across the organization.

Career Growth Opportunity

This role is designed to evolve into a leadership position with the opportunity to grow into a Global AI Practice Head, leading AI strategy, delivery, innovation, and capability development across global teams.

Key Responsibilities

• Design and develop enterprise‑grade Agentic AI and Generative AI solutions.
• Build multi‑agent systems using LangGraph, AutoGen, ADK, MCP, and related frameworks.
• Develop RAG‑based applications leveraging vector databases and enterprise knowledge sources.
• Build scalable APIs and AI microservices using Python, FastAPI, and cloud‑native architectures.
• Deploy AI solutions on AWS, Azure, or GCP using Docker, Kubernetes, and CI/CD pipelines.
• Implement AI security, governance, observability, and guardrails.
• Collaborate with business, product, and engineering teams to deliver AI‑driven solutions.
• Conduct code reviews, mentor engineers, and contribute to AI architecture and roadmap planning.

Required Skills

• 10+ years of software engineering experience with 4+ years in AI/GenAI solutions.
• Strong Python development experience with FastAPI or Flask.
• Hands‑on experience with LangChain, LangGraph, AutoGen, ADK, MCP (Model Context Protocol), and Multi‑Agent Architectures.
• Experience building RAG pipelines, embeddings, prompt engineering, and vector search solutions.
• Experience with vector databases such as Pinecone, Weaviate, FAISS, Chroma, or Azure AI Search.
• Strong knowledge of REST APIs, microservices, distributed systems, and cloud platforms (AWS/Azure/GCP).
• Experience with Docker, Kubernetes, Redis, Kafka, and AI application deployment.
• Strong understanding of AI security, memory management, scalability, and production AI systems.

Preferred Skills

• Experience with OpenAI, Azure OpenAI, Claude, Gemini, and Hugging Face models.
• Knowledge of MLOps, AI evaluation frameworks, and AI governance.
• Experience with Spark, Kafka, and large‑scale AI platforms.
• Prior experience leading AI initiatives and mentoring engineering teams.

What We're Looking For

A senior AI engineering leader who can move beyond chatbot development and build production‑grade, enterprise‑scale Agentic AI platforms, while helping shape the future AI strategy and practice of the organization.