AI Developer (React, Python & Generative AI)
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Key skills for this role
About the Role
We are seeking a highly analytical and technically proficient AI developer with extensive expertise in React.js, Python, and generative AI technologies. The ideal candidate should demonstrate exceptional coding skills, strong logical reasoning, and the ability to design scalable, production-ready AI systems.
Key Skills for This Role
Full Job Posting
Overview
We are seeking a highly analytical and technically proficient AI developer with extensive expertise in React.js, Python, and generative AI technologies.
The ideal candidate should demonstrate exceptional coding skills, strong logical reasoning, and the ability to design scalable, production-ready AI systems.
This role demands hands-on development experience, robust analytical thinking, and the ability to translate complex business requirements into efficient AI-driven solutions.
Experience
- 3+ years of hands-on experience delivering AI-driven applications.
- Proven track record of writing production-grade code.
Core Technical Skills
- Strong proficiency in Python with a deep understanding of data structures and algorithms.
- Hands-on experience in React.js, including hooks, state management, component architecture, and advanced knowledge of generative AI and LLM concepts.
- Experience with OpenAI APIs or open-source LLMs, Langchain/llamaindex/agentic workflows, prompt engineering, Rag architecture, vector databases (FAISS, Pinecone, etc.), and strong understanding of REST API design and backend architecture.
- Experience with relational or NoSQL databases and version control using Git.
Analytical & Coding Strength (Mandatory)
- Strong analytical thinking and structured problem-solving ability.
- Ability to write optimized, scalable, and efficient code.
- Strong debugging and root cause analysis skills.
- Ability to analyze large code bases and improve performance.
- Experience implementing algorithmic logic and performance tuning.
- Practice of clean code and adherence to coding standards.
- Nice to Have
- Experience building AI workflows and autonomous bots.
- Knowledge of model fine-tuning basics.
- Experience with Docker and Kubernetes.
- Understanding of AI evaluation metrics and benchmarking.
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