AI Developer(GenAI and Chatbot) – Full Job Description
Permanent Voxtron Solutions LLP 1 Position
Experience: 2+ Years
Apply on before: 05-03-2025
Job Title: AI Developer
Location: Cochin (India)
About the Role:
We are looking for an experienced AI Developer to lead the development of AI-driven capabilities within our platform. This role involves working with LangChain, LLMs, and multi-agent architectures to enhance customer interactions and automate workflows. If you have hands-on experience in AI-driven chatbots, Agentic AI, NLP, and LLM-based development, we’d love to hear from you!
Key Responsibilities:
- Design and develop AI-driven solutions using LangChain and LLMs.
- Implement AI Agents that understand, process, and respond to customer queries.
- Develop modular and scalable AI-driven workflows for automation.
- Fine-tune and optimize LLMs for better response accuracy and efficiency.
- Work with the product team to align AI capabilities with customer needs and business objectives.
- Ensure AI models comply with ethical AI principles and data security standards.
Requirements:
- 2+ years of experience in AI/ML development, focusing on LLMs, LangChain, or Agentic AI.
- Strong proficiency in Python and AI frameworks like LangChain, Hugging Face, OpenAI, and other LLM APIs.
- Hands-on experience in NLP, prompt engineering, embeddings, and vector search.
- Familiarity with multi-agent AI architectures and retrieval-augmented generation (RAG).
- Experience with database systems (SQL, NoSQL, or vector databases like Pinecone, ChromaDB, or FAISS).
- Strong problem-solving and analytical skills.
- Understanding of API development and integration with backend systems.
Preferred Qualifications:
- Experience with C#/.NET 8 is a plus.
- Background in chatbot development or conversational AI.
- Prior work in contact center AI, automation, or customer engagement platforms.
Key Responsibilities:
- Strong proficiency in Python and AI frameworks like LangChain, Hugging Face, OpenAI, and other LLM APIs.
- Hands-on experience in NLP, prompt engineering, embeddings, and vector search.
- Familiarity with multi-agent AI architectures and retrieval-augmented generation (RAG).
- Experience with database systems (SQL, NoSQL, or vector databases like Pinecone, ChromaDB, or FAISS).
Qualifications:
- LLM, LangChain & GenAI Skills: English