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Lead AI Analytics Engineer architecting data pipelines, vector databases, and multi-agent orchestration frameworks (LangChain/LangGraph) to power autonomous risk detection in Grab's Trust & Safety team using Python and LLMs.
The Senior AI and Machine Learning Engineer will design, develop, and deploy scalable AI/ML models and agentic architectures while mentoring junior team members. The role involves collaborating with cross-functional teams to integrate advanced machine learning solutions into production environments using frameworks like PyTorch, TensorFlow, and LangGraph.
Senior AI/ML engineer at HPE responsible for designing, developing, and deploying machine learning and agentic AI solutions using Python, TensorFlow/PyTorch, and frameworks like langGraph within the HPE Operations IT services team.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
AI Quality Engineer Location:- Hyderabad Work Mode:- WFO (5 days a week) Role Type:- Contractual (3 months and extension would depend on project requirement and performance) Key Responsibilities Test and validate…
QA Lead at apna owning the full quality lifecycle—manual testing, Python-based automation frameworks, and AI/LLM product evaluation (RAG, hallucination testing, prompt sensitivity) across web, mobile, and API surfaces.
This role is a technical leadership position focused on architecting AI-powered testing ecosystems and evaluation frameworks for security operations. The lead will mentor engineering teams, define strategic quality roadmaps, and implement advanced validation techniques using Python, Go, and AI-driven automation tools.
The Lead Software Engineer will design and deploy autonomous AI agents and foundational services for Disney's ad platforms. The role focuses on building scalable AI solutions using Python, LangChain, RAG, and agentic workflows to support media and advertising operations.
Build and deploy AI products—query assistants, report summarizers, multi-agent chatbots—for a Vietnamese securities firm (ACBS), using Python, LLM agent frameworks, RAG pipelines, and cloud infrastructure (AWS/GCP).
Thiết kế và xây dựng các sản phẩm/tính năng AI: trợ lý truy vấn, tổng hợp, thống kê, so sánh và phân tích dữ liệu thị trường, ngành, mã chứng khoán; xử lý và tóm tắt báo cáo, tài liệu; chatbot/trợ lý nghiệp vụ cho…
NOTE: This is a 1-year, Fixed-Term Position. Are you an AI/GenAI engineer who loves shipping real systems? Join Stanford’s Enterprise Technology team to design, implement, and support AI solutions across university use…
Design and deploy production-grade AI agent systems and infrastructure for enterprise customers using Kubernetes, LangChain/LangGraph, and observability tools.
Build distributed backend systems and AI agent infrastructure for enterprise execution, integrating with ERPs, financial systems, and ensuring secure, traceable AI-driven workflows.
Build and own AI agent infrastructure and automation systems that integrate LLMs with internal tools and data platforms to streamline marketing operations at scale.
Principal Architect at 6sense designs and evolves large-scale, distributed cloud systems, setting technical strategy and guiding engineering teams in building scalable, resilient platforms.
Builds and deploys production-grade AI systems using LangChain/LangGraph, focusing on RAG, agentic workflows, and LLM-powered applications. Translates AI architectures into scalable, observable, and secure cloud-native solutions with Kubernetes, vector databases, and observability tools.
Senior Forward Deployed Software Engineer on ServiceNow's Applied AI team, building and deploying production LLM-powered applications end-to-end for strategic enterprise customers in London, spanning backend services, orchestration pipelines, and front-end integrations.
Principal Product Manager designing and governing agentic AI architecture—LLM agent chaining, context graphs, telemetry, and evaluation frameworks—for Zeta Global's AI-powered marketing cloud platform.
Builds autonomous AI agents using Elastic Stack tools to automate complex business tasks, integrating LLMs, RAG, and cloud infrastructure while ensuring security and observability.
The AI QA & Evaluation Engineer will design and implement testing frameworks, evaluation rubrics, and CI/CD pipelines to validate the accuracy, reliability, and safety of GenAI solutions. The role involves collaborating across engineering teams to monitor model performance, mitigate hallucinations, and ensure compliance with data governance standards.
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