AI Engineer

WalkingTree Technologies

Job Summary

WalkingTree is seeking a passionate AI Engineer with 1-2 years of hands-on experience in building and fine-tuning AI models. The role involves developing intelligent features, integrating Large Language Models (LLMs), building robust AI pipelines, and supporting end-to-end AI solution delivery. The ideal candidate will contribute to classification, prediction, NLP, and automation use cases, working with various Generative AI APIs and ensuring model optimization and integration into production systems.

Must Have

  • 1-2 years of experience in an AI engineering role
  • Good understanding of Python, LangGraph, LangChain, A2A, MCP
  • Experience with LLMs, prompt engineering, RAG, vector databases, or Generative AI APIs
  • Hands-on experience with APIs, JSON, and integrating ML models into applications
  • Good understanding of SQL and data modeling
  • Develop, fine-tune AI models for classification, prediction, NLP, and automation
  • Work with LLMs and Generative AI APIs (OpenAI, Azure OpenAI, HuggingFace)
  • Preprocess, clean, and transform datasets for model training and evaluation
  • Implement model evaluation techniques and optimize models for accuracy and efficiency
  • Integrate AI models into production systems via REST APIs or microservices

Good to Have

  • Exposure to cloud platforms (AWS, GCP, Azure)
  • Strong analytical thinking and problem-solving skills
  • Eagerness to learn new AI technologies

Job Description

AI Engineer

Job Skills: A2A, Gen AI, JSON, Langchain, Langgraph, LLM, MCP, RAG, Vector Database

Job Type: Full Time

Job Location: Hyderabad

Exp Level: 2+ years

Role: AI engineering

We are looking for a passionate AI Engineer with around 2 years of hands-on experience in building, fine-tuning. The ideal candidate will work on developing intelligent features, integrating LLMs, building pipelines, and supporting end-to-end AI solution delivery.

Responsibilities

  • Develop, fine-tune AI models for classification, prediction, NLP, and automation use cases.
  • Work with LLMs and Generative AI APIs (OpenAI, Azure OpenAI, HuggingFace) to build smart features and chat-based solutions.
  • Preprocess, clean, and transform datasets for model training and evaluation.
  • Implement model evaluation techniques, track performance, and optimize models for accuracy and efficiency.
  • Integrate AI models into production systems via REST APIs or microservices.
  • Collaborate with backend, data, and product teams to convert business requirements into AI solutions.
  • Conduct research on new AI techniques, tools, and frameworks to improve solution capabilities.
  • Prepare documentation, experiment logs, and model reports.
  • Assist in deploying models with CI/CD pipelines and containerization (Docker).

Required Skills

  • 1–2 years of experience in IL engineering role.
  • Good understanding of Python, LangGraph, LangChain, A2A, MCP
  • Experience with LLMs, prompt engineering, RAG, vector databases, or Generative AI APIs.
  • Hands-on experience with APIs, JSON, and integrating ML models into applications.
  • Good understanding of SQL and data modeling.
  • Exposure to cloud platforms is a plus (AWS, GCP, Azure).
  • Strong analytical thinking, problem-solving, and eagerness to learn new AI technologies.

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9 Skills Required For This Role

Game Texts Aws Azure Json Ci Cd Docker Microservices Python Sql

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