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The Principal AI Engineer will lead the design and implementation of agentic AI systems and data platforms within a financial services environment. The role involves building RAG solutions, scalable data pipelines, and AI observability frameworks using technologies like Python, Spark, and Databricks.
The Full-Stack DevSecOps Engineer will build and maintain a developer platform using Backstage, integrating AI-driven workflows and security automation. The role focuses on enhancing developer experience through custom plugins, CI/CD pipelines, and AI technologies like RAG and LLMs.
Architect and deploy end-to-end AI/ML solutions on Microsoft Azure, including data pipelines, MLOps, vector indexes, and retrieval-based AI systems for enterprise clients.
Design and implement AI architectures on Azure for a global IT services firm, focusing on LLM-based solutions, model orchestration, and intelligent automation for enterprise platforms.
Design, build, deploy, and continuously improve production-grade LLM-powered agentic AI solutions within enterprise client environments using Python, FastAPI, agent orchestration frameworks (LangGraph, LangChain, etc.), MCP, and context engineering.
The Gen AI Engineer designs and implements retrieval-augmented generation (RAG) pipelines for banking clients using the Azure AI stack and Python-based frameworks. The role focuses on building secure, traceable, and accurate AI systems, including prompt orchestration, guardrails, and vector database management.
This GenAI Engineer role focuses on designing and implementing RAG pipelines and agentic AI solutions for banking clients using the Azure AI stack and Python-based frameworks. The position requires building secure, compliant, and traceable AI systems with a strong emphasis on guardrails, vector databases, and model evaluation.
Builds full-stack cloud applications (SPAs + backend APIs) for AI-driven analytics, market research, and ad tools, integrating LLM features and optimizing data pipelines.
Build and maintain AI-powered APIs and full-stack features using React, Node.js, and Python to deliver reliable, production-grade systems for intelligent workflows.
Senior Backend Engineer at an early-stage AI startup building a greenfield product for managing travel and personal requests via AI agents, working primarily in Python on APIs, data pipelines, and LLM orchestration.
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.
The Data Scientist / Machine Learning Engineer will design, train, and deploy AI/ML models into production environments using Python, deep learning frameworks, and cloud platforms like Azure or Google Cloud. The role involves working on NLP, clustering, and generative AI projects while ensuring compliance with responsible AI standards.
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.
The Data Scientist will design and implement scalable AI and Generative AI solutions to improve business efficiency and customer experience. The role involves building production-grade applications using Python, SQL, LLMs, RAG, and agentic AI frameworks.
The Data Engineer will design and build scalable backend systems and data pipelines to support AI-driven investment strategies. The role involves integrating generative AI models, managing microservices, and collaborating with cross-functional teams to productionize data-intensive applications.
Você é apaixonado por automação, otimização de processos e IA aplicada? Quer participar do desafio de construir e evoluir agentes de IA e automações que operam em canais reais (WhatsApp, e-mail e ligações),…
Senior Software Engineer (Data Engineering) Working Hours: Mon-Fri (Hybrid) Remuneration: Up to $11,000 + AWS Employment Type: Contract (1 year renewable with chances of conversion) JOB OVERVIEW We are seeking an…
Staff ML Engineer architecting and deploying production GenAI systems (LLM-powered features, RAG workflows, agentic apps) on a team building AI-powered identity/security infrastructure, primarily using Python.
Design and deploy production-scale GenAI systems, including RAG pipelines, agent frameworks, and evaluation workflows, to power secure AI-powered identity features.
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