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Senior engineer building a contract-review AI agent from scratch across the full stack—React/Next.js UI, LLM orchestration, RAG pipelines, vector stores, and cloud infra—at DeepLaw, a legal-tech startup.
The Principal Data Engineer will design and implement a scalable data platform using Snowflake and related technologies to support data governance and analytics. The role involves leading data strategy, optimizing ELT pipelines, and enabling AI adoption within an Agile environment.
Builds AI-driven property management systems (tenant engagement, compliance) using Python/FastAPI for backend orchestration (LLM agents, RAG pipelines) and Next.js/TypeScript for frontends, with full ownership of infrastructure and product decisions.
Builds and deploys AI-powered applications and the infrastructure that runs them, focusing on LLM integration, agentic systems, and automation across cloud and on-premise environments.
Leads end-to-end design and deployment of production-grade AI/ML and GenAI solutions, focusing on RAG platforms, agentic systems, and secure enterprise integrations using Python, AWS/Azure, and MLOps practices.
Build and deploy end-to-end GenAI/LLM applications (RAG, agentic workflows, evaluation pipelines) using Python, cloud platforms, Docker, and vector databases for a finance consulting firm in Pune.
Full Stack AI Engineer building AI-native SaaS products — designing and shipping AI-powered features end-to-end with focus on backend/LLM integration, agent pipelines, and RAG workflows using TypeScript, Node.js, React, and PostgreSQL.
Senior Software Engineer building scalable AI-powered backend and front-end systems that extract insights from unstructured engineering documents (CAD/BIM, technical reports). Core stack: Python (FastAPI/Flask/Django), React/TypeScript, LLM/RAG integration, vector databases, and multi-cloud deployment.
Full Stack Developer on a 12-month contract who builds end-to-end web applications and integrates AI/GenAI capabilities (RAG, LLMs, chatbots) into enterprise solutions, using modern JS/TS frontends, Node.js/Python/Go backends, and cloud platforms, while leveraging AI-assisted coding tools daily.
Builds and maintains scalable backend services and AI-powered systems for a government tech platform, focusing on Python, APIs, cloud infrastructure, and secure integrations.
Design, develop, and deploy production-grade Generative AI applications using LLMs, RAG pipelines, and agentic AI frameworks on Azure/AWS cloud platforms.
Data Engineer designing and industrializing robust data pipelines and modern cloud data platforms (lakehouse, Snowflake, BigQuery, Databricks) to feed AI/agent systems and BI dashboards, using SQL, Python, Spark, Airflow, dbt, and vector databases.
The Data Engineer at Keyrus designs and industrializes robust data pipelines and modern data platforms to support AI systems and analytics. The role involves preparing data for generative AI, ensuring data quality, and collaborating with AI engineers to build scalable, production-ready data solutions.
This Senior Data Engineer role focuses on designing and delivering AI-ready data pipelines for production-grade RAG and vector search systems. The position involves building batch and streaming workflows, ensuring data quality and governance, and collaborating closely with AI engineers to support client engagements.
The Lead ML/AI Platform Engineer will own the end-to-end machine learning infrastructure, including training, model serving, and integration with Java microservices. The role focuses on driving the company's GenAI and agentic workflow strategy using AWS-based tools and open-source ML frameworks.
About the Role As a Solutions Engineer, you'll embed with customers to design, build, and ship production software fast — full-stack apps, cloud infrastructure, and applied AI solutions built around Python or…
This role involves developing scalable, AI-powered full-stack applications using Java, Spring Boot, and modern frontend frameworks like React or Angular. The developer will integrate Generative AI, LLMs, and RAG architectures into enterprise systems while managing microservices and cloud-native deployments.
About Understood Understood is a nonprofit focused on shaping the world for difference. We raise awareness of the challenges and strengths of people who learn and think differently. Our resources help people navigate…
Data Engineer building scalable batch and streaming pipelines, data products, and AI-facing integration layers (e.g., MCP servers) for an internal Agentic AI ecosystem using Python, SQL, dbt, orchestration tools, and cloud data platforms.
Full Stack AI Application Engineer at FPT Software in Singapore, responsible for hardening AI prototypes into production-grade solutions using React, TypeScript, Node.js, Python, and Azure AI services.
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