We are seeking a talented and driven Software Engineer to join our AI initiatives team, focusing heavily on developing sophisticated agentic solutions. In this role, you will be responsible for designing and implementing autonomous systems that leverage Large Language Models (LLMs) to reason, plan, and execute complex workflows. A deep understanding of context engineering, tool usage, and LLM orchestration is essential.
Key Responsibilities
- Design, build, and deploy agentic workflows that can autonomously solve multi-step problems using tools and APIs.
- Perform advanced context engineering to optimize LLM prompts, manage context windows efficiently, and implement Retrieval-Augmented Generation (RAG) pipelines.
- Integrate LLMs with external systems, databases, and third-party APIs to enable agentic actions.
- Develop evaluation frameworks to monitor agent performance, reduce hallucinations, and ensure safe and predictable behavior in production environments.
- Collaborate with product and data teams to identify opportunities for AI-driven automation and intelligent feature development.
Qualifications
- Proficiency in Python and experience with backend framework development.
- Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen).
- Strong background in context engineering, prompt optimization, and working with top-tier LLM APIs (Gemini, OpenAI, Anthropic).
- Experience building and scaling RAG architectures using vector databases (e.g., Pinecone, Weaviate, Milvus).
- Solid understanding of system design principles, especially for distributed and asynchronous systems.
