Role : Senior Applied AI / LLM EngineerJob Summary : We are looking for a Senior Applied AI / LLM Engineer to develop and integrate Large Language Model (LLM) - powered capabilities into production applications and business workflows.The role focuses on applying frontier AI models to real-world products, building agentic solutions, and ensuring the reliability, security, and performance of enterprise AI applications.Key Responsibilities : - Design and develop LLM - powered applications, AI agents, and services using models such as Claude, GPT, and Gemini.- Integrate LLM capabilities into existing production applications, APIs, and business workflows using Python.- Build agentic workflows, tool integrations, MCP - based solutions, and automation capabilities.- Develop and maintain LLM evaluation frameworks to measure accuracy, reliability, latency, and cost.- Assess existing machine learning and model - based solutions to identify opportunities for enhancement or migration to frontier models.- Implement AI guardrails, personally identifiable information (PII) protection, audit trails, and security controls for enterprise and customer - facing applications.- Monitor production AI behavior, identify failure patterns, and improve prompts, workflows, and model performance.- Collaborate with Product, Engineering, Technology, and Operations teams to identify and deliver valuable AI use cases.Required Skills and Experience : - 6+ years of software engineering experience,



including strong recent experience in Applied AI and LLM engineering.- Strong proficiency in Python and backend/API development.- Proven experience deploying LLM - powered features in production environments.- Hands - on experience with OpenAI, Anthropic, Gemini, or similar frontier models.- Solid understanding of prompt engineering, Retrieval - Augmented Generation (RAG), tool/function calling, AI agents, and LLM evaluation.- Experience developing production - grade APIs, services, and integrations.- Strong understanding of AI security, privacy, and enterprise guardrails.- Ability to work with existing production codebases and develop new AI capabilities from the ground up.Preferred Skills : - Experience with Model Context Protocol (MCP) servers, integrations, and AI agents.- Experience migrating traditional machine learning or model - based solutions to LLM - based approaches.- Familiarity with LLM observability and evaluation frameworks.- Experience working in regulated environments involving PCI, SOX, or similar requirements.- Familiarity with AI development tools such as Claude Code, Kiro, Cursor, or similar platforms.Ideal Candidate Profile : The ideal candidate is a strong software engineer with hands - on experience delivering LLM - powered features in production.They should understand how to integrate AI into real - world products, combine software engineering with AI evaluation, and prioritize reliability, security, privacy, and enterprise - grade controls. (ref:hirist.tech)

📌 Codvo.ai - Senior Applied AI/LLM Engineer (India)
🏢 Codvo.ai
📍 India