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To lead and optimize GenAI & Agentic AI Operations by driving efficient deployments, automation, and governance across platforms. The role ensures seamless issue resolution, performance monitoring, cost…
Design, develop, and deploy production-grade Generative AI applications using LLMs, RAG pipelines, and agentic AI frameworks on Azure/AWS cloud platforms.
Job Description: AI Architecture & Leadership Manager Job Title: AI Architecture & Leadership Manager Experience: 10+ Years Location: Pune / Bengaluru / Hyderabad / Mumbai Employment Type: Full-Time Job Summary…
Build and own the LLM/agentic evaluation infrastructure—datasets, scorers, harnesses, and CI gates—that rigorously measures grounding, faithfulness, and hallucination before AI-generated financial commentary ships. Core tech: Python, LLM eval frameworks (promptfoo, DeepEval, Ragas, LangSmith), managed LLMs (Bedrock/Vertex/Azure OpenAI), LangGraph, GitHub Actions.
Leads QA automation for an AI-native fintech platform, designing test frameworks for frontend (React), backend (Python/FastAPI), APIs, and AI/ML components while building a QA team and ensuring security/compliance.
Full-stack engineer building services with Node.js, TypeScript, and React while integrating AI/LLM features (MCP, agentic workflows) into production for an HR/Payroll multinational in Barcelona.
Full-Stack Software Engineer building end-to-end services with Node.js/TypeScript backend and React frontend, integrating LLMs and agentic workflows via MCP for an HR/Payroll multinational in Barcelona. Stack includes AWS, Kubernetes, PostgreSQL, Redis, and RabbitMQ.
Build and evolve a SaaS platform for energy retailers using PHP (Laravel), JavaScript, and APIs, integrating with ERP, Salesforce, and AI tools while optimizing high-volume data workflows.
Senior Full Stack Engineer building AI-augmented mental health platform features end-to-end using React/TypeScript, Next.js, Node.js, and LLM/AI agent systems (RAG, tool orchestration, multi-step workflows).
Build and ship production LLM-based AI systems and agentic workflows on Dscout's UX research platform, focusing on evaluation, prompt engineering, agent behavior improvement, and production monitoring.
Builds and leads AI-driven internal developer tools, multi-agent workflows, and LLM orchestration systems to streamline engineering workflows (e.g., CI/CD, service scaffolding) at scale.
Design, develop, and deploy AI agents and multi-agent systems using LLMs, building RAG pipelines and agent workflows with frameworks like LangChain, LangGraph, AutoGen, and CrewAI.
Senior AI/ML Ops Engineer in Bangalore designs and deploys scalable AI/ML pipelines, automates CI/CD workflows, and optimizes cloud infrastructure for Smartsheet's global SaaS platform.
Designs and builds the runtime infrastructure that powers AI agents, enabling them to safely retrieve, reason over, and act on enterprise data across hundreds of sources with trustworthy, evidence-backed outputs.
The Principal Software Engineer will build and own a durable orchestration platform for agentic AI systems, enabling long-running, multi-agent scientific workflows. The role focuses on architecting scalable, reliable infrastructure on AWS to transition AI research prototypes into production-grade systems.
Research and build AI-powered tools that improve psychological wellbeing using large language models, reinforcement learning, and computational methods in a fast-moving startup environment.
Lead AI/ML and computational projects to accelerate pharmaceutical R&D, designing agentic workflows that integrate LLMs with omics, biomolecule design, and systems biology tools for end-to-end scientific pipelines.
Обязанности: -Развивать продукты AlfaGen — собственной ИИ-платформы Альфа-Банка -Настраивать ИИ-агенты и управлять разработкой с нейросетями -Интегрировать финтех-продукты с большими языковыми моделями -Проектировать…
Designs, builds, and deploys enterprise-scale AI solutions including GenAI agents, RAG pipelines, and LLM-driven workflows using Azure AI services, while ensuring scalability, security, and Responsible AI compliance.
The Staff Forward Deployed Engineer acts as a builder-consultant, embedding with customers to deploy production-grade agentic AI solutions using Google Cloud's Vertex AI and Gemini models. This role bridges the gap between frontier AI research and enterprise infrastructure by coding, debugging, and providing critical feedback to Google's product teams.
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