NLP / LLM Engineer

As an NLP / LLM Engineer at Rubiscape, you will build the language intelligence that makes RubiAI — our agentic AI copilot — genuinely useful to enterprise analysts, data engineers, and business decision-makers interacting with complex data in natural language. You will own the full NLP stack: from classical text processing and information extraction through LLM fine-tuning, retrieval-augmented generation, and prompt engineering for enterprise-grade accuracy and safety. This role directly advances Rubiscape’s vision of a platform where every employee can query, analyse, and act on enterprise data without writing a single line of code.

·         Design and implement NLP pipelines for document understanding, entity extraction, classification, and summarisation integrated into RubiAI and Business Workbench.

·         Fine-tune and evaluate open-source LLMs (Llama 3, Mistral, Phi-3) on Rubiscape’s domain-specific corpora using PEFT techniques (LoRA, QLoRA) and managed fine-tuning APIs.

·         Build and iterate on RAG architectures: chunking strategies, embedding model selection and evaluation, hybrid retrieval (dense + sparse), and re-ranking for high-precision enterprise knowledge retrieval.

·         Develop and maintain the prompt engineering framework for RubiAI: structured prompting patterns, chain-of-thought templates, system prompt governance, and automated regression testing for prompt quality.

·         Evaluate LLM outputs systematically using RAGAS, DeepEval, or custom evaluation harnesses; track quality metrics across model versions and prompt iterations.

·         Implement multilingual NLP capabilities for Indian-language enterprise content (Hindi, Marathi) where required by government and public-sector customers.

·         Collaborate with the AI Platform Engineer to deploy NLP microservices at scale, ensuring latency SLOs are met for interactive RubiAI copilot responses.

·         Experience with structured output generation (JSON mode, grammar-constrained decoding) for reliable LLM integration with enterprise data systems.

·         Knowledge of speech-to-text or multimodal models relevant to voice-driven analytics interfaces.

·         Exposure to LLM safety, alignment, and responsible AI practices for regulated-sector deployments.

·         Contribution to open-source NLP or LLM tooling (HuggingFace, LangChain, LlamaIndex, or equivalent).

Rubiscape is India’s leading Decision Intelligence Platform, unifying data engineering, BI, machine learning, and agentic AI in a single governed platform. Built in Pune and trusted by Fortune 500 enterprises across BFSI, manufacturing, healthcare, and government. 8 international innovation patents. 10 Industry-Academia Labs & COEs. From BI to AI — One Platform. Every Decision.

·         3+ years of NLP engineering experience with demonstrable production deployments; at least 1 year working with large language models in a product context.

·         Deep proficiency with HuggingFace Transformers, Datasets, and PEFT libraries for model fine-tuning and evaluation.

·         Hands-on experience with RAG pipeline construction using LangChain or LlamaIndex and at least one vector store (Weaviate, Qdrant, Chroma, or pgvector).

·         Strong Python skills and familiarity with model serving for NLP workloads (ONNX, TorchServe, vLLM, or Text Generation Inference).

·         Solid understanding of LLM evaluation methodology: benchmark construction, human preference alignment, and hallucination mitigation strategies.

·         Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, or a related field.