Agentic AI Developer

Agentic AI Developer

The Agentic AI Developer will design, prototype, and deploy GenAI-powered tools and systems focused on enhancing user interaction and creativity.

Responsibilities:

1. Craft and optimize prompts for large language models (LLMs) to ensure relevant and high-quality outputs.
2. Develop backend systems to support LLM-based features and integrations.
3. Collaborate with design and product teams to create seamless conversational experiences.
4. Experiment with LLM APIs, agentic workflows, and cutting-edge open-source frameworks like LLama.
5. Drive model training and evaluation pipelines—curating data, testing hypotheses, and refining outputs iteratively.
6. Deploy AI models and systems in production environments with a focus on reliability and scalability.
7. Explore and implement planning systems, vector databases, or memory architectures such as graph-based storage.

Requirements:

1. 3+ years of experience in software engineering or AI-related development.
2. Strong programming skills in Python, with exposure to backend systems.
3. Solid understanding of prompt engineering, LLM APIs, or agent-based AI systems.
4. Experience with LLama or similar frameworks and open-source model ecosystems.
5. Track record of independently running AI experiments and improving model performance through training cycles.
6. Familiarity with deploying AI applications to production and managing their lifecycle.
7. Exposure to vector databases, graph-based memory structures, or planning systems.
8. A curious mindset and eagerness to adapt to a rapidly evolving AI landscape.

Education:

• BS or MS in Computer Science, Artificial Intelligence, or a related technical field.
• Experience integrating AI into creative domains like content generation, design tools, or storytelling platforms.
• Knowledge of orchestration tools or agent frameworks such as LangChain, Haystack, or AutoGen.