Note: The job is a remote job and is open to candidates in USA. Intellectt Inc is seeking a highly experienced Lead Agentic AI Engineer to design, develop, and deploy next-generation AI solutions powered by Large Language Models and Agentic AI frameworks. This role involves leading the architecture and implementation of enterprise-grade AI assistants and intelligent workflows while mentoring engineering teams and driving AI innovation.
Responsibilities
- Design, develop, and deploy scalable Agentic AI applications for enterprise use cases
- Lead the development of autonomous AI agents using LangChain, LangGraph, and modern orchestration frameworks
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources
- Develop AI Chatbots, AI Assistants, and multi-agent systems capable of complex reasoning and workflow automation
- Design and implement MCP (Model Context Protocol) Servers and tool-based AI architectures
- Integrate Large Language Models (OpenAI, Anthropic, AWS Bedrock models, etc.) into production applications
- Build secure AI services deployed on AWS cloud infrastructure
- Develop reusable AI components, APIs, and orchestration layers for enterprise AI platforms
- Optimize prompt engineering, memory management, context handling, and agent execution strategies
- Collaborate with architects, product owners, and engineering teams to deliver scalable AI solutions
- Mentor junior engineers and establish AI engineering best practices
- Ensure AI applications meet performance, scalability, security, and reliability standards
Skills
- Strong Python programming experience
- Hands-on experience with Agentic AI frameworks
- Expertise in LangChain
- Expertise in LangGraph
- Experience building Retrieval-Augmented Generation (RAG) pipelines
- Experience developing AI Chatbots and AI Assistants
- Experience building MCP Servers and tool-based AI architectures
- Strong experience working with Large Language Models (LLMs)
- Experience with AI orchestration frameworks
- Experience working with AWS Bedrock
- Experience with AWS NovaSonic
- Experience deploying AI applications on AWS Cloud
- Experience integrating APIs, external tools, and enterprise systems
- Strong debugging, optimization, and problem-solving skills
- Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or related field
- 10+ years of software engineering experience
- 5+ years of experience in AI/ML and Generative AI
- Proven experience leading AI engineering projects and mentoring teams
- Experience delivering enterprise-scale AI solutions in production
- Applicants must be authorized to work in the United States
- Experience with vector databases such as Pinecone, FAISS, OpenSearch, Chroma, or Weaviate
- Experience with AI observability and evaluation frameworks
- Knowledge of prompt engineering and agent planning strategies
- Experience with Kubernetes, Docker, and CI/CD pipelines
- Experience developing enterprise AI platforms
- Familiarity with serverless AWS services (Lambda, API Gateway, Step Functions)
- Knowledge of AI governance, security, and responsible AI practices
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