Urgent opening with R systems. Required Qualifications Job

location:
Bangalore (Mandatory). Work from Office : Yes. Looking for Immediate joiner only. Exp level : 6
- 9 Yrs. Core Experience
• 4+ years of software engineering experience, with 2+ years building and shipping LLM-powered applications in production.
• Strong Python skills
- production-quality code, clean architecture, type-safe data modeling (Pydantic or equivalent), and testable design.
• Hands-on production experience with at least one major LLM provider
- AWS Bedrock, Anthropic Claude, OpenAI GPT, Google Gemini, or equivalent
- including tool/function calling and structured output.
• Demonstrated experience building RAG systems end to end
- chunking, embeddings, vector databases (Qdrant, Pinecone, Weaviate, OpenSearch, or pgvector), retrieval, and re-ranking.
• Hands-on experience building agentic workflows
- LLM agents that call tools, reason across multiple steps, and autonomously complete multi-stage tasks with appropriate safeguards.
• Experience with fine-tuning and adaptation workflows
- LoRA, QLoRA, instruction tuning, or preference tuning
- and with evaluating model outputs rigorously rather than by demo. Engineering & Platform Skills
• Solid LLM tooling fluency
- LangChain or LangGraph, LlamaIndex, DSPy, Hugging Face, and the judgment to pick the right tool rather than adopt reflexively.
• Prompt engineering craft
- system prompts, few-shot examples, chain-of-thought, structured output schemas, and tool/function calling.




• Comfort working with unstructured data
- extracting, classifying, and generating structured outputs from text-heavy inputs, including documents and forms.
• Cloud and deployment fluency
- AWS preferred (including Bedrock), plus containerization (Docker), and familiarity with self-hosted LLM serving (vLLM, TGI, Ollama, or similar).
• Evaluation discipline
- ability to write tests for non-deterministic systems, build golden sets, and reason about output quality at scale.
• Strong debugging instincts for LLM-specific failure modes
- hallucinations, retrieval gaps, prompt drift, and latency spikes. Security & Regulated-Industry Awareness
• Working awareness of LLM security concerns
- prompt injection, data exfiltration, output filtering, and PII handling.
• Respect for data sensitivity and an instinct to keep borrower PII and financial data inside Lendistry's trust boundary by default. Preferred Qualifications
• Experience in fintech, lending, banking, healthcare, or another regulated or data-sensitive industry.
• Familiarity with document understanding models (LayoutLM, Donut, Nougat) and contemporary OCR tooling (Textract, Tesseract, or equivalents).
• Background in NLP tasks such as named entity recognition, classification, or semantic similarity.
• Experience with LLaMA-family open-weight models and self-hosted serving via Ollama or vLLM.
• Experience contributing to a shared AI platform (prompt registry, evaluation harness, routing layer) used by multiple product teams. (ref:hirist.tech)

📌 R Systems (Bengaluru)
🏢 R Systems
📍 Bengaluru