Artificial Intelligence Engineer
TOP IT Service · Ahmedabad · onsite · Posted 40d ago
Undisclosed5–10 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
- 5+ years of AI/software engineering experience.
- Strong hands-on experience with Python.
- Practical experience building RAG systems in production or near-production environments.
- Strong understanding of LLM application architecture.
- Experience with document parsing, chunking, embeddings, vector search, and retrieval pipelines.
Role & responsibilities
- Design and build RAG pipelines for document search, evidence retrieval, and grounded answer generation.
- Develop ingestion pipelines for PDFs, DOCX files, spreadsheets, and other semi-structured documents.
- Build parsing, chunking, embedding, indexing, and retrieval workflows.
- Work with vector databases, keyword search, and hybrid retrieval strategies.
- Integrate LLMs for claim extraction, classification, re-ranking, summarization, and answer generation.
- Optimize AI workflows for cost, latency, reliability, and production readiness.
- Experience with at least one vector database or search platform such as pgvector, Pinecone, Weaviate, Qdrant, Elasticsearch, OpenSearch, or Azure AI Search.
- Experience using LLM APIs and AI tooling such as OpenAI, Anthropic, LangChain, LlamaIndex or similar frameworks.
Location: Ahmedabad
Sourced from naukri
Skills
Retrieval Augmented GenerationLarge Language Models (LLMs)PythonDeep LearningArtificial IntelligenceMachine Learning