AI Agentic Solutions Engineer / LLM Orchestration Developer

AI Agentic Solutions Engineer / LLM Orchestration Developer

This position is focused on a Chatbot project.

1) Proficient in Python development with substantial experience.

2) Practical experience with at least one orchestration framework (LangGraph, CrewAI, AutoGen, Semantic Kernel).

3) Proven experience in developing RESTful APIs and integrating third-party applications.

4) Skilled in creating scalable backend systems using FastAPI or Flask.

5) In-depth understanding of LLM-based architectures and prompt engineering techniques.

6) Experience in asynchronous programming, Server-Sent Events (SSE), WebSockets, and job queue architectures.

Preferred Skills

1) Familiarity with MCP-based tool integrations.

2) Understanding of ReAct, Reflection, and advanced agent reasoning frameworks.

3) Experience in developing automated reporting systems.

4) Practical knowledge of Plotly or Vega-Lite.

5) Frontend development skills with React, Next.js, or Streamlit.

6) Experience with cloud services such as Azure, AWS, or GCP.

7) Awareness of AI governance, observability, and model evaluation practices.

We are looking for a skilled AI Agentic Solutions Engineer to create, develop, and implement robust Generative AI solutions utilizing Large Language Models (LLMs), multi-agent orchestration frameworks, and contemporary backend technologies. The ideal candidate will be tasked with constructing intelligent agent ecosystems, integrating external tools and services, delivering automated insights and reports, and establishing human-in-the-loop workflows that cater to mission-critical business requirements.