Role Overview
We are seeking a strong Forward Deployed / Solutions Engineer with a focus on AI/LLM Implementation. This role requires a blend of deep technical expertise and client-facing skills to translate business needs into robust AI-driven solutions.
Responsibilities
- Translate business requirements from external clients or end-users into technical specifications for AI/LLM solutions.
- Develop and implement AI/LLM-based features such as assistants, chatbots, copilots, or workflow automation.
- Build and maintain backend services using Python and frameworks like FastAPI, Flask, or Django, including REST API development.
- Develop responsive frontend interfaces using React, JavaScript, HTML, and CSS, ensuring seamless integration with backend services.
- Apply expertise in Prompt Engineering, RAG, and LLM orchestration frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGen.
Requirements
- Minimum of 2 years of total software development experience.
- Minimum of 1 year of hands-on experience with AI / GenAI / LLM-based projects.
- Proven experience building AI/LLM features using platforms like OpenAI, Gemini, Claude, or Llama.
- Strong proficiency in Python and backend frameworks (FastAPI / Flask / Django).
- Hands-on experience with React, JavaScript, HTML, and CSS.
- Demonstrated experience with Prompt Engineering, RAG, and LLM orchestration frameworks (e.g., LangChain).
- Must have worked directly with external clients or end-users to gather requirements.