Lead Engineer

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

Interested candidates can share updated profile at anil.kataria@rsystems.com

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 modern 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.