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Develop and maintain artificial intelligence (AI) and semantic search pipelines.
Integrate vector database, embedding, and retrieval technologies.
Optimize the performance, accuracy, and relevance of the pipeline.
Connect AI pipelines with other APIs and services.
Implement logging and observability within the pipeline.
Skill Requirements
Minimum of 2 years of experience as an AI Engineer.
Proficient in Python programming; knowledge of Node.js is a plus.
Experienced in using API frameworks such as FastAPI, Flask, or Express.
Understands semantic search concepts, retrieval pipelines, and the use of vector databases like FAISS or Pinecone.
Skilled in AI agentic toolkits such as LangChain, LlamaIndex, or Haystack.
Able to use Docker and Kubernetes for containerization and application deployment.
Experienced in deploying to cloud platforms like AWS or GCP, and familiar with Terraform.
Familiar with ETL processes, unstructured data processing, and basic SQL.
Proficient with NLP libraries such as spaCy, NLTK, and HuggingFace tokenizer.
Understands security implementation using OAuth and API tokens.
Comfortable using monitoring tools like Prometheus, Grafana, and Sentry.