AI Agent Developer / LLM & Automation Engineer

Rysysth Technologies

0 years

0 Lacs

Ahmedabad Gujarat India

Posted:1 day ago| Platform:

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Skills Required

ai developer automation engineering orchestration integration design reliability efficiency data openai python retrieval zapier airflow webhooks tuning aws gcp azure deployment ui ux chatbot

Work Mode

On-site

Job Type

Full Time

Job Description

About the Role

AI Agent Developer

Responsibilities

Design, develop, and deploy AI agents powered by LLMs (e.g., GPT-4, Claude, Gemini).
Integrate AI agents with tools, APIs, databases, and automation frameworks.
Develop reusable prompt chains and workflows for common tasks and decision-making processes.
Utilize frameworks such as LangChain, AutoGen, CrewAI, or Semantic Kernel to manage multi-agent architectures.
Fine-tune or instruct LLMs for specific use-cases or industry applications.
Optimize performance, reliability, and cost-efficiency of AI workflows.
Collaborate with data scientists, product managers, and engineers to design end-to-end AI solutions.
Implement automation in internal tools, customer interactions, or operational pipelines using AI agents.

Requirements

Must-Have:

Strong experience with LLMs such as OpenAI GPT, Anthropic Claude, or Meta Llama.
Hands-on experience with agentic frameworks (LangChain, AutoGen, CrewAI, etc.).
Proficient in Python and relevant AI libraries (e.g., HuggingFace, Transformers, LangChain).
Solid understanding of prompt engineering and retrieval-augmented generation (RAG).
Knowledge of automation tools like Zapier, Make, Airflow, or custom Python automation.
Experience working with APIs, webhooks, and data integrations.

Nice-to-Have:

Experience with vector databases (e.g., Pinecone, Weaviate, FAISS).
Knowledge of fine-tuning or customizing open-source LLMs.
Familiarity with cloud platforms (AWS, GCP, Azure) and deployment of AI solutions.
Experience with UI/UX for chatbot or agent interfaces.

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