AI Engineer

𝐉𝐨𝐛 𝐓𝐢𝐭𝐥𝐞: -𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: 𝐒𝐚𝐧 𝐅𝐫𝐚𝐧𝐜𝐢𝐬𝐜𝐨, 𝐂𝐀 𝐃𝐮𝐫𝐚𝐭𝐢𝐨𝐧 : 𝐂𝐨𝐧𝐭𝐫𝐚𝐜𝐭 (𝐎𝐧-𝐬𝐢𝐭𝐞) 𝐋𝐨𝐜𝐚𝐥 𝐭𝐨 𝐂𝐚𝐥𝐢𝐟𝐨𝐫𝐧𝐢𝐚 𝐎𝐧𝐥𝐲 𝐉𝐨𝐛 𝐃𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧: We are seeking a Senior AI Engineer with deep, hands on expertise in Generative AI, multi agent orchestration, and LLM based systems with Python to design, build, and scale secure, production grade AI platforms. The role requires strong engineering rigor, practical experience beyond PoCs, and the ability to operationalize agentic AI in complex enterprise environments. 𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: - Generative AI & LLM Engineering - Strong hands on experience building LLM powered applications for reasoning, summarization, Q&A, and content generation - Expertise in prompt engineering, prompt optimization, and systematic prompt evaluation - Ability to generate structured and deterministic outputs for downstream consumption - Apply grounding, response validation, and hallucination mitigation techniques 𝐌𝐮𝐥𝐭𝐢 𝐀𝐠𝐞𝐧𝐭 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐋𝐚𝐧𝐠𝐆𝐫𝐚𝐩𝐡 (𝐌𝐮𝐬𝐭 𝐇𝐚𝐯𝐞) - Strong hands on experience designing and implementing multi agent AI systems - Practical experience working with agent orchestration frameworks, specifically LangGraph 𝐃𝐞𝐬𝐢𝐠𝐧 𝐚𝐧𝐝 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭: - Orchestrator / supervisor agent patterns - Intent routing, task decomposition, and agent sequencing - Dependency management and agent handoff - Implement tool calling patterns, shared context management, and output aggregation across agents - Experience managing agent state, memory, and execution flow in production environments Retrieval Augmented Generation (RAG) - Build and optimize RAG pipelines across large unstructured datasets 𝐇𝐚𝐧𝐝𝐬 𝐨𝐧 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡: - Embedding strategies - Vector databases and semantic search - Chunking, ranking, and metadata based retrieval - Ensure responses are traceable, explainable, and source grounded 𝐀𝐈 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: - Strong backend engineering skills using Python - Design modular, API first AI services using scalable architectures - Integrate AI services with external systems and tools via secure APIs - Efficient handling of long running agent workflows and asynchronous execution 𝐂𝐥𝐨𝐮𝐝 𝐍𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐒𝐤𝐢𝐥𝐥𝐬: - Experience deploying AI solutions on cloud native platforms 𝐅𝐚𝐦𝐢𝐥𝐢𝐚𝐫𝐢𝐭𝐲 𝐰𝐢𝐭𝐡: - Containerized AI workloads - CI/CD pipelines for AI and agent services - Scalable, fault tolerant system design - Experience managing structured and unstructured data storage for AI workloads AI Governance, Security & Reliability 𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐠𝐮𝐚𝐫𝐝𝐫𝐚𝐢𝐥𝐬 𝐚𝐧𝐝 𝐬𝐚𝐟𝐞𝐭𝐲 𝐜𝐨𝐧𝐭𝐫𝐨𝐥𝐬, 𝐢𝐧𝐜𝐥𝐮𝐝𝐢𝐧𝐠: - Prompt injection prevention - Access control and role based execution - Output validation and policy enforcement 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐟𝐨𝐫: - Agent behavior and execution flow - Confidence scoring and failure detection - Usage patterns and anomaly detection - Design AI systems that are auditable, explainable, and enterprise ready 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩: - Provide technical leadership across AI and GenAI initiatives - Review AI designs, orchestration flows, and implementation quality - Mentor junior AI engineers on agent design and best practices - Collaborate with architects, data scientists, and platform engineers 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: - Strong experience as a Senior AI / GenAI Engineer - Proven, hands on experience with multi agent orchestration using LangGraph 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐨𝐟: - LLMs and agentic AI systems - RAG architectures - Python based AI development - Experience delivering production grade AI systems, not just experiments 𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: - Experience designing large scale agent based platforms - Exposure to LLMOps / MLOps practices - Familiarity with model and agent evaluation techniques - Experience working in regulated or security sensitive environments 𝐊𝐞𝐲 𝐄𝐱𝐩𝐞𝐜𝐭𝐚𝐭𝐢𝐨𝐧𝐬: - Deliver scalable, reliable, and well orchestrated AI systems - Demonstrate deep hands on ownership of multi agent execution logic - Balance innovation with robustness, security, and maintainability