AI Agents Developer

3 weeks ago

India Sybrant Technologies Full time

by admin | May 24, 2025

Description

Sybrant Technologies has been in the forefront of transforming its customers into full digital businesses. Though we are small, we grow at a rapid pace due to our capabilities in the contemporary technologies. Sybrant can deep dive in areas such as Mobility, IoT and Analytics in addition to traditional technologies.We can rapidly implement these solutions because of the Products, Frameworks and Partnerships that we have. In addition, our technically sound people and proven processes help in accelerating our customers' adoption curves. Advantage Sybrant has always been in its nimbleness and delivering high quality yet cost effective solutions. That's why we are the "Digital Transformation Power" behind our customers. We are a PreludeSys Group Company.

Role:

Develop AI agents that can perform tasks autonomously using Python and modern AI frameworks.

Requirements
  • Design and build AI agents that can automate workflows, make decisions, or interact with APIs.
  • Use Python with AI libraries like LangChain, LlamaIndex, AutoGen, or OpenAI Assistants API to create functional agents.
  • Integrate AI agents with databases, APIs, and external tools for real-world applications.
  • Fine-tune agents using RAG (Retrieval-Augmented Generation) or function calling for better accuracy and responses.
  • Optimize agent performance, handle errors, and ensure reliability.
  • Work with LLMs (GPT, Claude, Gemini, or open-source models like Llama 3) to power agent logic
Required Skills:
  • Strong Python programming (OOP, async, APIs)
  • Experience with AI agent frameworks (LangChain, AutoGen, CrewAI, etc.)
  • Knowledge of LLM integration (OpenAI, Anthropic, Mistral, etc.)
  • Familiarity with API interactions (REST, GraphQL
  • Apply prompt engineering strategies to guide and control LLM outputs
Good to Have (Added Advantage):
  • Experience with RAG (Vector DBs like Pinecone, FAISS, Weaviate)
  • Knowledge of vector databases (for chatbot memory)
  • Deployment on cloud platforms (AWS Lambda, GCP, Azure Bot Service)

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