Agentic AI Engineer......Atlanta, GA or Seattle, WA

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

2. Design and optimize prompts for LLMs to ensure accurate, contextually rich outputs across diverse use cases.
3. Architect dynamic context management systems including session memory, retrieval-augmented generation (RAG), and user personalization.

Agent Integration & Orchestration

5. Develop and deploy autonomous and semi-autonomous AI agents using LangGraph and MCP.
6. Coordinate multi-agent workflows, manage state transitions, and ensure seamless model interoperability.

Fullstack System Development

1. Build robust backend services and APIs using Python frameworks (FastAPI, Flask, Django).
2. Develop front-end interfaces using modern JS frameworks (React, Vue, Angular) to support end-to-end user experiences.

System Integration

1. Connect agents with external data sources, vector databases, third-party APIs, and ML models.
2. Implement scalable pipelines for knowledge retrieval, model serving, and real-time interaction.

Evaluation & Optimization

1. Establish testing, monitoring, and evaluation pipelines to continuously improve agent performance and context handling.
2. 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

1. Strong experience with fullstack Python development (FastAPI, Flask, Django; SQL/NoSQL databases).
2. Proven expertise in prompt engineering and context-aware LLM integration (OpenAI, Anthropic, open-source models).
3. Hands-on experience with LangGraph and MCP for agent orchestration and workflow design.
4. Familiarity with vector search, RAG pipelines, and session/context management strategies.
5. Experience integrating AI agents into production systems with cloud infrastructure (AWS, Google Cloud Platform, Azure).
6. Proficiency with containerization (Docker), CI/CD pipelines, and scalable distributed systems.
7. Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

1. Background in information retrieval, knowledge graphs, or search systems.
2. Experience with front-end development and data visualization tools.
3. Contributions to open-source AI, agent, or LLM frameworks.
4. Familiarity with advanced ML model serving and orchestration platforms.