Job DescriptionAI Lead Developer - Agentic AI & GenAI SolutionsLocation: 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 OpportunityThis 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 AIsolutions.
- Build multi-agent systems using LangGraph, AutoGen, ADK, MCP, andrelated frameworks.
- Develop RAG-based applications leveraging vector databases andenterprise knowledge sources.
- Build scalable APIs and AI microservices using Python, FastAPI, andcloud-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 todeliver AI-driven solutions.
- Conduct code reviews, mentor engineers, and contribute to AIarchitecture and roadmap planning.
Required Skills- 10+ years of software engineering experience with 4+ years inAI/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 AIapplication deployment.
- Strong understanding of AI security, memory management,scalability, and production AI systems.
Preferred Skills- Experience with OpenAI, Azure OpenAI, Claude, Gemini, and HuggingFace 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 engineeringteams.
What We're Looking ForA 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.
