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
- 12 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.
