Website:
work360.ai
Job details:
Experience - 0–2 years
Location - India
About the Role
You will build and integrate generative AI features into products using LLM APIs, prompt engineering, and retrieval-augmented generation (RAG). You will work with senior engineers to develop, test, and improve AI-powered workflows and applications using Python.
Core Skills
- Python
- LLM APIs (OpenAI / Anthropic / Gemini)
- Prompt Engineering
- LangChain / LlamaIndex Basics
- RAG Concepts
- Vector Databases Basics
- REST APIs
- Git
- FastAPI Basics
Responsibilities
- Integrate LLM APIs into backend services and AI-powered product features.
- Design and iterate on prompts to improve accuracy, reliability, and response quality.
- Build basic RAG workflows using vector databases and embedding models.
- Develop Python-based pipelines for AI features and workflows.
- Test AI outputs for accuracy, consistency, and edge cases.
- Document prompts, experiments, and AI workflow configurations.
- Collaborate with senior engineers and product teams to improve AI-powered features.
Requirements
- B.Tech / B.E. in Computer Science, IT, or a related field.
- Solid Python programming skills.
- Basic understanding of LLMs and Generative AI concepts.
- Familiarity with at least one LLM API such as OpenAI, Anthropic, or Gemini.
- Understanding of REST APIs and basic backend concepts.
- Exposure to LangChain, LlamaIndex, RAG, or vector databases is a plus.
- Strong willingness to learn and experiment with emerging AI technologies.
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