Key Responsibilities:
* Develop and integrate
Generative AI/LLM applications
.
* Build
RAG pipelines
using embeddings, vector databases, and document processing.
* Work with models such as
GPT, Claude, Gemini, Llama
, or similar LLMs.
* Develop effective
prompt engineering
strategies and evaluate model outputs.
* Build AI agents and tool-calling workflows.
* Develop APIs and backend services using
Python/FastAPI
or similar frameworks.
* Work with vector databases such as
Pinecone, FAISS, Weaviate, or Chroma
.
* Implement model evaluation, monitoring, security, and optimization.
* Collaborate with data scientists, software engineers, and product teams.
* Deploy AI solutions using cloud platforms such as
AWS, Azure, or GCP
.
Required Skills:
* Strong
Python
programming.
* Good understanding of
Machine Learning, NLP, and Deep Learning
.
* Experience with
LLMs, RAG, embeddings, and prompt engineering
.
* Knowledge of frameworks such as
LangChain, LlamaIndex, or similar
.
* Experience with
REST APIs and Git
.
* Understanding of databases and vector databases.
* Familiarity with Docker and cloud deployment.
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