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Builds and scales the backend of an AI platform, integrating agents, LLMs, and RAG systems using Python and Go.
Lead AI/ML and automation programs for semiconductor manufacturing operations, driving strategy, platform selection, and end-to-end deployment from discovery to value realization.
Define and evolves the tech vision for Itaú’s Agro Varejo community, leading AI-first platform architecture, cloud-native modernization, and DevSecOps practices to build scalable, resilient systems.
Senior .NET engineer building scalable backend systems at GM, with a focus on AI-driven automation and intelligent workflows.
Builds and scales backend systems and AI-powered tools for Apple’s media services, including the Apple TV app and tvOS, to deliver high-quality streaming experiences globally.
Leads the development of a clinical-trial design platform that blends structured data, analytics, and AI to help life-sciences teams build better studies and speed new therapies to patients.
Build and deploy scalable AI-powered backend systems using Python, FastAPI, and RAG with agentic workflows, vector search, and LLM integrations for enterprise use.
Principal Developer Advocate for AI at Temporal, engaging the AI engineering community through talks, content, and open-source collaboration to promote reliable AI systems built on Temporal’s orchestration platform.
Designs and deploys AI-powered features, builds conversational flows, and improves retrieval quality for enterprise solutions.
Builds and optimizes AI-powered legal RAG pipelines using Qdrant, hybrid search, and LLM providers (Anthropic, OpenAI, YandexGPT) to retrieve and rank relevant legal documents from a 23M+ corpus.
Senior full-stack engineer role building enterprise SaaS applications for government and HR clients using .NET and Angular, working 100% remotely for a US nearshore staffing firm. Responsibilities include microservices development, database optimization, cloud deployment (AWS), and leveraging AI-assisted development tools.
Build and ship full-stack web apps while integrating AI features like LLM-powered tools and RAG systems using modern stacks and cloud-native DevOps.
Build agentic AI systems using frontier LLMs, document AI pipelines, and RAG for legal/contract analysis, while collaborating with stakeholders to deliver production-grade solutions.
Lead GenAI adoption at Citi, designing and deploying LLM-powered features (RAG, agentic workflows) in enterprise applications while setting technical standards and mentoring teams.
Build and deploy AI-powered solutions, including copilots and RAG systems, while integrating with enterprise tools like Microsoft 365 and AWS.
Build and scale production-grade agentic AI systems using LLMs, multi-agent orchestration, and RAG pipelines across GCP, Azure, and AWS.
Build and deploy scalable AI platforms and agents using LLMs, RAG, and cloud-native tools to power Moody’s next-gen risk intelligence products.
About the Client Our client is a well-established organisation within the Financial Services sector, currently expanding its AI and data capabilities to support a growing portfolio of AI-powered applications,…
Build AI-native developer platforms and agentic workflows that automate and enhance software engineering processes using LLMs, RAG, and MCP integrations.
Design and build agentic and multimodal AI systems that combine LLMs, visual AI tools (e.g., ComfyUI), and enterprise stacks to create creative marketing and content experiences.
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