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)
- 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.
