AI 工程师负责人
Lead AI Engineer
Lead AI Engineer
地点：远程（斯里兰卡）
雇佣类型：全职
行业：人工智能 / 分析平台 / SaaS 技术
职位概述
我们正在寻找一位经验丰富的 Lead AI Engineer，负责推动一个前沿的 AI 驱动分析平台的技术方向，使业务用户能够通过自然语言查询从企业数据中获得洞察。这是一个需要亲力亲为的领导角色，负责设计和开发 AI 核心、代理架构、知识系统、评估框架和预测智能功能，以支持企业级 AI 解决方案。
主要职责
- 构建和增强用于复杂多步骤业务分析的代理运行时和编排框架。
- 设计能够规划调查、执行并行查询、协调专业 AI 代理并生成可操作洞察的系统。
- 负责在企业数据环境中生成自然语言到 SQL 和 DAX 查询的能力。
- 开发确定性查询生成模式和受控指标层，以确保准确性与可靠性。
- 设计和维护本体论、知识图谱、语义层和检索系统，以支持 AI 推理。
- 开发异常检测、聚类、预测和推荐功能，主动提供业务洞察。
- 优化 AI 系统的性能、可扩展性、成本效率和响应速度。
- 实现模型分层、提示优化、缓存策略、流式响应和并行处理技术。
- 开发 AI 系统的评估框架、测试流程、发布门禁和实验方法。
- 通过行级访问控制、提示注入防御、模式裁剪和工具治理确保 AI 安全。
- 通过可配置的 AI 框架支持新业务领域的快速上手。
- 在保持积极参与实际工程和问题解决的同时提供技术领导力。
- 候选人背景
- 在 AI 工程方面有出色业绩，最近有交付生产级 LLM 基础系统的经验。
- 具备构建代理 AI 系统的实际技能，包括编排、工具使用、结构化输出和多步骤规划。
- 强大的 SQL 技能和对企业数据仓库的深入理解。
- 有在提示、查询和数据模式上排查和优化 AI 生成输出的经验。
- 有构建在现有系统上的经验
查看英文原文
WE ARE HIRING: Lead AI Engineer
Location: Remote (Sri Lanka)
Employment Type: Full Time
Industry: Artificial Intelligence / Analytics Platform / SaaS Technology
Role Overview
We are seeking an experienced Lead AI Engineer to drive the technical direction of a cutting-edge AI-powered analytics platform that enables business users to gain insights from enterprise data through natural language queries. This is a hands-on leadership role responsible for designing and developing the AI core, agent architecture, knowledge systems, evaluation frameworks, and predictive intelligence capabilities that power enterprise-grade AI solutions.
Key Responsibilities
- Build and enhance the agent runtime and orchestration framework for complex multi-step business analysis.
- Design systems that plan investigations, execute parallel queries, coordinate specialized AI agents, and generate actionable insights.
- Own natural language to SQL and DAX query generation capabilities across enterprise data environments.
- Develop deterministic query generation patterns and governed metric layers to ensure accuracy and reliability.
- Design and maintain ontologies, knowledge graphs, semantic layers, and retrieval systems that power AI reasoning.
- Develop anomaly detection, clustering, forecasting, and recommendation capabilities to proactively deliver business insights.
- Optimize AI systems for performance, scalability, cost efficiency, and responsiveness.
- Implement model tiering, prompt optimization, caching strategies, streaming responses, and parallel processing techniques.
- Develop evaluation frameworks, testing processes, release gates, and experimentation methodologies for AI systems.
- Ensure AI security through row-level access controls, prompt injection defenses, schema pruning, and tool governance.
- Support rapid onboarding of new business domains through configurable AI frameworks.
- Provide technical leadership while remaining actively involved in hands-on engineering and problem solving.
Candidate Profile
- Strong track record in AI Engineering with recent experience delivering production-grade LLM-based systems.
- Hands-on expertise building agentic AI systems including orchestration, tool usage, structured outputs, and multi-step planning.
- Strong SQL skills and deep understanding of enterprise data warehouses.
- Experience troubleshooting and optimizing AI-generated outputs across prompts, queries, and data schemas.
- Experience building ontologies, knowledge graphs, semantic layers, or retrieval-augmented systems.
- Proven success designing evaluation frameworks for non-deterministic AI systems.
- Experience developing predictive analytics solutions including anomaly detection, clustering, and forecasting.
- Strong software engineering skills with production-grade Python development.
- Experience building asynchronous services, streaming APIs, and scalable AI architectures.
- Ability to define technical strategy while remaining actively involved in implementation.
Preferred Skills
- Microsoft Fabric, Power BI, and DAX.
- Azure ecosystem experience.
- Vector databases such as pgvector.
- LLM observability and AI cost optimization tools.
- Multi-tenant SaaS platform experience.
- TypeScript knowledge.
- Experience working within early-stage product environments.
What We Offer
- Opportunity to work on advanced AI and agentic systems solving real enterprise challenges.
- Remote-first working environment with a highly experienced senior team.
- Direct interaction with clients and exposure to complex business problems.
- Significant influence over product direction and technical architecture.
- Exposure to cutting-edge AI technologies and enterprise-scale deployments.
Ready to take your career to new heights?
We're InTalent Asia, your go-to recruitment partner in Sri Lanka, and we've got an exciting opportunity for you!
Our client is looking for a skilled individual to fill the role of Lead AI Engineer.
Apply now and see how you can be the perfect fit for this exclusive position!
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Originally posted on Himalayas