About the Role : We are looking for an experienced Applied AI Engineer to build and deploy intelligent AI systems that solve complex business problems.The role focuses on developing production-ready LLM applications and AI agents capable of processing large volumes of financial and legal documents, retrieving relevant information, and generating accurate, evidence-backed insights.You will work across AI agent development, backend engineering and evaluation systems, taking ownership of features from initial design through production deployment.Key Responsibilities : - Design and develop LLM-powered applications and stateful, multi-agent workflows.- Build AI agents that can process, analyse and reason across complex document collections.- Work with LLMs, embeddings, retrieval systems and context management.- Develop backend services, APIs and database integrations to support AI capabilities.- Build evaluation frameworks, test datasets and feedback mechanisms to improve system accuracy.- Monitor, debug and optimise AI systems running in production.- Maintain traceability of AI outputs, tool calls and supporting evidence.- Evaluate emerging AI models and techniques and integrate them where they improve product performance.Mandatory Technical Requirements : - Minimum 3 years of professional software engineering experience.- Proven experience building and shipping LLM-based systems to production.- Strong understanding of LLM architecture,



embeddings and retrieval mechanisms.- Hands-on experience with Python and AI agent development.- Understanding of multi-agent workflows, tool calling, context and state management.- Experience developing backend services, APIs and databases.- Working knowledge of TypeScript, GraphQL and PostgreSQL.- Experience building evaluation pipelines, automated testing and feedback loops.- Previous experience in a product-based company is mandatory.Good to Have : - Experience handling scanned documents, OCR, long PDFs and complex tables.- Exposure to financial, legal, lending or insurance documents.- Experience with model fine-tuning techniques such as LoRA and RLHF/RLAIF.- Experience with DSPy or graph-based data modelling.Educational Qualification : - Candidates with 5+ years of experience : B.Tech in any engineering branch.- Candidates with 3 - 5 years of experience : B.Tech in Computer Science Engineering (CSE) only.- Graduates from Tier-1 engineering colleges preferred.Key Screening Criteria : This role requires practical production experience with LLM-based systems. Candidates with only theoretical AI/ML knowledge, academic projects or basic chatbot development experience will not meet the core requirements.Please apply only if you meet the mandatory experience, educational, technical and product-company criteria. (ref:hirist.tech)

📌 TransCurators - Applied AI Engineer - LLM & AI Agents (India)
🏢 TransCurators
📍 India