Agentic AI Engineer
Atlanta, GA or Seattle, WA
Long Term
Job Description
Position Overview: We are seeking a versatile and highly skilled AI Systems Engineer with deep expertise in fullstack Python development, intelligent agent orchestration, and advanced context engineering. This role is central to building next-generation AI-powered applications that leverage large language models (LLMs), multi-agent workflows, and dynamic context management. You will architect and integrate scalable systems using frameworks like LangGraph and MCP, while collaborating across disciplines to deliver adaptive, intelligent solutions.
Key Responsibilities:
Prompt & Context Engineering
- Design and optimize prompts for LLMs to ensure accurate, contextually rich outputs across diverse use cases.
- Architect dynamic context management systems including session memory, retrieval-augmented generation (RAG), and user personalization.
Agent Integration & Orchestration
- Develop and deploy autonomous and semi-autonomous AI agents using LangGraph and MCP.
- Coordinate multi-agent workflows, manage state transitions, and ensure seamless model interoperability.
Fullstack System Development
- Build robust backend services and APIs using Python frameworks (FastAPI, Flask, Django).
- Develop front-end interfaces using modern JS frameworks (React, Vue, Angular) to support end-to-end user experiences.
System Integration
- Connect agents with external data sources, vector databases, third-party APIs, and ML models.
- Implement scalable pipelines for knowledge retrieval, model serving, and real-time interaction.
Evaluation & Optimization
- Establish testing, monitoring, and evaluation pipelines to continuously improve agent performance and context handling.
- Optimize system reliability, latency, and scalability across cloud environments.
Collaboration & Delivery
Work cross-functionally with product managers, data scientists, and ML engineers to define requirements and deliver production-grade solutions.
Contribute to architectural decisions, sprint planning, and iterative development cycles.
Required Skills & Qualifications
- Strong experience with fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases).
- Proven expertise in prompt engineering and context-aware LLM integration (OpenAI, Anthropic, open-source models).
- Hands-on experience with LangGraph and MCP for agent orchestration and workflow design.
- Familiarity with vector search, RAG pipelines, and session/context management strategies.
- Experience integrating AI agents into production systems with cloud infrastructure (AWS, Google Cloud Platform, Azure).
- Proficiency with containerization (Docker), CI/CD pipelines, and scalable distributed systems.
- Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications
- Background in information retrieval, knowledge graphs, or search systems.
- Experience with front-end development and data visualization tools.
- Contributions to open-source AI, agent, or LLM frameworks.
- Familiarity with advanced ML model serving and orchestration platforms.
Never miss an opportunity! Create an alert based on the job you applied for.
