About the position:
We are seeking a proactive and skilled AI Engineer to join our Engineering team. This role is crucial for designing, building, and deploying autonomous AI Agents. You will work extensively with cutting-edge LLM orchestration tools, ensuring our agentic systems are robust, performant, and reliable from prototyping to production.
Responsibilities:
- Agentic Workflow Development: Design and build complex, stateful agentic workflows, leveraging the advanced capabilities of LangChain and LangGraph.
- Prompt & Chain Engineering: Develop and test prompt templates, retrieval chains (RAG), and agentic components to achieve high accuracy and performance.
- Production Integration: Implement APIs and integrate them into scalable applications.
- Monitoring & Observability: Participate in debugging, troubleshooting, and continuous monitoring of agentic workflows using specialized tools like LangSmith.
- Evaluation: Establish and execute evaluation frameworks for both predictive and generative systems, focusing on performance, accuracy, and security.
- Infrastructure Reliability: Contribute to troubleshooting complex AI infrastructure issues and ensuring the stability and production reliability of deployed systems.
- Documentation: Maintain clear and thorough documentation of data flows, model architectures, agent logic, and experiment results.
Skills:Experience: 1-3 years of hands-on professional experience in an AI, ML, Data Science, or Software Engineering role.Education: Bachelor's degree in Computer Science, or Engineering.Programming: Must be proficient in writing clean, efficient, and production-grade Python.Foundational CS: Solid knowledge of data structures, algorithms, and use of Git for collaborative software development.LLM Ecosystem: Familiarity with the Large Language Model ecosystem, including the OpenAI API and models available through Hugging Face.Agent Frameworks: Hands-on experience with or deep conceptual understanding of LangChain, LangGraph, and LangSmith.Networking: Knowledge of core Networking concepts required for API interaction and endpoint integration (e.g., REST, basic cloud networking).Continuous Learning: Committed ****to continuous learning and staying current with rapid advances in machine learning, generative AI, and agent frameworks (LangChain, LangGraph, etc.).Bonus PointsExposure to cloud platforms such as AWS or Azure.Familiarity with containerization (Docker) and CI/CD practices.