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Build and evolve Java-based AI agents for a large Latin American bank, integrating with internal systems using Spring Boot, LangChain/LangGraph, and RAG pipelines on GCP.
Build and scale an AI-powered platform end-to-end using TypeScript, Next.js, Azure, and LLM features like RAG and structured outputs for B2B SaaS or fintech clients.
Solutions Engineer partners with sales to scope, build, and deploy production AI agents for enterprise customers using LangChain’s stack.
Design and deliver enterprise-scale AI/ML and generative AI systems, including RAG, agents, and Snowflake Cortex integrations, while leading architecture reviews and client engagements.
Lead the design and scaling of SS&C’s enterprise AI agent platform, integrating multi-agent orchestration, LLM APIs, and observability for financial services and healthcare workflows.
Build, deploy, and own ML/AI models (including GenAI) for pricing, personalization, and fraud detection, using Python, PyTorch/TensorFlow, and MLOps tools in a cloud-native stack.
Principal Software Engineer at Sinch Telco building AI-driven development workflows using agent orchestration to design, code, test, and deploy telecom software faster and with higher quality.
Builds AI-powered chatbots and agentic systems using Python, FastAPI, LangGraph, and OpenAI SDK, integrating LLMs with workflow automation and deploying on AWS.
Build and own the evaluation framework that ensures AI-generated answers and agent workflows are accurate and reliable for banking systems, using Python, LangChain, and observability tools.
Build and deploy AI-powered features that extract insights from financial data using NLP, LLMs, and scalable systems in a fintech environment.
Build and deploy AI automation pipelines and agentic systems using Python, LLM APIs, and AWS to solve defense-related tasks for a Ukrainian government-focused tech company.
Design and deploy LLM-powered agents and pipelines using LangGraph/LangChain to support field technicians in production.
Build and deploy generative AI applications and autonomous agents using LLM APIs and agent frameworks, integrating them into client systems across full-stack TypeScript/Python stacks.
Build AI-powered simulation pipelines and agentic workflows to validate autonomous truck software, improving fidelity and analyzing large-scale test data.
Build and own scalable data pipelines, metrics, and AI-driven analysis for autonomous truck software, using Python, geospatial analytics, and LLM workflows to evaluate driving performance at fleet scale.
Build core AI capabilities for GitLab Duo Chat, integrating LLM orchestration and multi-agent flows in Python/LangGraph while extending the GitLab Rails monolith.
Lead the development of advanced AML detection systems using machine learning, neural networks, and LLMs to identify financial crime typologies and red flags for Wise’s global platform.
Builds and maintains AI agents that audit construction cost documents, extracting and validating data from PDFs and Excel to flag discrepancies and provide traceable results for users.
About the role The AI Engineer (LLM/Agent) will own the conversational layer that describes Purefacts’ ML model outputs to end users, develop a “Revenue Assistant” Agent from R&D through to prototype, and design…
Build and deploy production-grade GenAI agent systems for enterprise customers, integrating Google Cloud’s AI stack with live infrastructure and driving ROI from prototypes to scalable solutions.
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