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The Data Engineer will design, build, and maintain scalable cloud-based data pipelines using AWS, Airflow, and Databricks. The role also involves developing AI agents using LangGraph to automate workflows and integrate data sources.
Thoughtworks is hiring a Senior AI Engineer in Bangalore to design, build, and deploy generative AI applications (RAG pipelines, agents, multi-agent systems) from prototype to production using Python, GenAI/agentic frameworks, vector databases, and cloud platforms like AWS, Azure, and GCP. The role also involves technical decision-making, code reviews, and mentoring junior engineers.
An Agentic AI Architect in Ireland designs and delivers enterprise-grade AI solutions built on Claude/Anthropic APIs, RAG, agentic workflows, and cloud platforms (AWS, Azure, GCP). Day to day they lead architecture, proof-of-concepts, deployment, and governance with client stakeholders, using Python, SQL, and modern LLM/ML tooling, with some travel required.
Builds production-grade Agentic AI systems on an AI & Data team: developing backend APIs with Python/FastAPI, agent workflows with LangGraph/LangChain/AWS Bedrock, and deploying on AWS/Kubernetes with observability and CI/CD. Stable project, remote options, up to €65,000 gross/year.
AI/backend engineering role (posted under a front-end title) with Arelance, a Spanish IT staffing consultancy, to build production-grade Agentic AI systems on a client's AI & Data team: Python/FastAPI APIs, LLM agent workflows (LangGraph, LangChain, AWS Bedrock/AgentCore), MCP tooling, AWS/Kubernetes deployment, observability and CI/CD. Remote options; up to €65,000/year.
Builds production-ready, agentic AI solutions end to end — design through deployment and operations — for Deutsche Telekom IT Solutions' Tolling Services team (electronic road-charging systems). Core stack: Python, AWS, CI/CD, monitoring, LLMs, RAG and agent frameworks.
Outstaff role at SJ Global for a Senior AI Engineer building production AI/LLM services in Python: agentic workflows, RAG pipelines, LLM API integrations, evaluations, and ML pipelines. Requires 5+ years of commercial experience with strong Python/SQL and hands-on LLM work; remote, full-time, fixed monthly pay.
Senior AI Engineer builds and owns a unified evaluation framework to ensure correctness and reliability of AI-generated answers and agent workflows in a fintech platform, using LangChain, RAG, and agentic ops tools.
Junior Agentic AI Engineer at Aidapt, an embedded AI consultancy serving MEA businesses. Day to day you take client problems and build agentic AI solutions: LangChain/LangGraph agents on the Claude API, n8n/Make.com automation pipelines, plus ClickUp and WhatsApp (WATI) integrations and prompt engineering. Pure build role in a small senior pod.
- Own ML/AI systems end-to-end: data pipelines, model training, serving infrastructure, monitoring, and iteration - Build LLM-powered applications with custom pipelines, prompt management, evaluation, and optimization…
About the Role We are seeking an engineer who doesn't just "talk" to LLMs but builds autonomous, resilient systems. You will design multi-agent architecture that can reason, use tools, and recover from…
Builds AI/LLM-powered tools that automate and optimize SDLC and testing processes for a banking client, working closely with analysts, developers, testers, and DevOps. Core stack: Python, LangChain/LangGraph or Pydantic AI, SQL with relational databases; hybrid work in Warsaw or Kraków, B2B up to 140 PLN/h.
Senior AI Engineer at Papaya Global builds and ships production AI systems powering payroll and global workforce payments — agentic document intelligence, autonomous agents, compliance AI, and ML insights. Core stack: Python, LLMs, RAG, agents, Hugging Face, PyTorch, LangChain/LangGraph, AWS.
Build and deploy LLM-powered AI assistants that automate customer support for Sberbank, handling NLU tasks like SFT, RAG, and text ranking at scale for 50M+ monthly users.
Principal AI Engineer designs, builds, and deploys large language model systems (LLMs) using RAG, prompt engineering, and agent-based architectures for Fortune 500 clients, leading engineering teams and optimizing cloud-based GenAI applications.
Designs and deploys enterprise-grade generative AI systems for Fortune 500 clients, focusing on LLM applications, RAG, and multi-agent architectures using Python, LangChain/LangGraph, and cloud platforms.
Deploys generative AI applications for clients using Python, Langchain/LangGraph, and cloud platforms, acting as a technical advisor to solve real-world problems.
Designs, trains, and deploys large language models and multi-agent systems for Fortune 500 clients, using Python, LangChain/LangGraph, and cloud platforms like AWS, GCP, or Azure.
Build and maintain AI/GenAI features using Python, FastAPI, and MLOps tooling; write tests and deploy scalable solutions in a product-driven team.
Senior AI Engineer at Gloat (Tel Aviv) designing, building, and shipping production-grade LLM agents for its workforce orchestration platform. Day to day: multi-agent orchestration, RAG over a knowledge graph, tool/function calling (MCP), evaluation harnesses and guardrails, and deploying model-agnostic agents into Teams, Slack, and Copilot using Python and frameworks like LangGraph.
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