genai engineer

Design and develop scalable backend and GenAI applications using Python, FastAPI, and FastMCP.

Build and integrate solutions leveraging LLMs such as OpenAI GPT and Anthropic Claude.

Develop AI agents, plugins, skills, and MCP-based services.

Implement RAG pipelines, vector search, prompt engineering, and LLM orchestration.

Own solutions across the full lifecycle, including development, deployment, monitoring, observability, and diagnostics.

Use AI-assisted development tools to accelerate coding, debugging, testing, and delivery.

trong hands-on experience with Python, FastAPI, and FastMCP, including building scalable, production-grade APIs and end-to-end applications. Proven experience developing GenAI solutions and integrating LLMs, including OpenAI GPT and Anthropic Claude. Practical experience building AI agents, plugins, skills, MCP servers, RAG pipelines, prompt engineering, and vector database integrations. Ability to use AI-assisted development tools such as Claude, Codex, and VS Code effectively throughout the development lifecycle.

Nice-to-Have Skills Description

Experience with Pinecone, Milvus, LangChain, or similar vector databases and LLM orchestration frameworks. Knowledge of advanced agentic AI architectures, multi-agent workflows, LLM observability and diagnostics, evaluation frameworks, and production monitoring of GenAI applications.

Mandatory Skills:

Python

FastAPI

FastMCP

Generative AI

LLM Integration

AI Agents

MCP

RAG

Prompt Engineering

Vector Databases

Exceptional communication skills.

Ability to deliver exceptional customer service with a positive attitude.