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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.
Lead GenAI adoption at Citi, designing and deploying LLM-powered features (RAG, agentic workflows) in enterprise applications while setting technical standards and mentoring teams.
Senior AI Engineer builds and deploys LLM-based agents and RAG services to automate workflows and improve decision-making, owning the full GenAI product lifecycle from prototyping to production monitoring.
Build and deploy generative AI agents and copilots for property tech using LLMs, RAG, and multi-agent systems, integrating them into scalable full-stack applications.
Build and own backend services end-to-end using Java 17+, Spring Boot, and AI-native workflows with agentic tools like Claude Code or GitHub Copilot.
Build production-grade AI systems for investment analysis and procurement using LLM, multi-agent architectures, and RAG pipelines in Python.
Build and scale the internal platform for AI agents, focusing on retrieval pipelines, orchestration, MCP servers, and observability using Python, Kubernetes, and Google Cloud.
Senior role designing and deploying AI solutions using graph data and GraphRAG for enterprise customers, from discovery to production.
Build and maintain scalable .NET backend services and RESTful APIs using C#, SQL, and AWS, integrating cloud-native and AI components for enterprise applications.
Lead the architecture and delivery of an enterprise-grade agentic AI platform for a global fintech client, designing secure, multi-cloud deployments and guiding a senior engineering team.
Lead the AI and data strategy for a compliance SaaS platform, building production-grade generative AI, LLM systems, and MLOps pipelines in a regulated financial-tech environment.
Build and maintain full-stack AI-native marketing platform using TypeScript, Python, and agentic coding tools like Claude Code; develop ML models, RAG pipelines, and LLM evaluation frameworks.
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
Build and maintain AI-powered search infrastructure for a learning platform, designing Elasticsearch pipelines, hybrid retrieval systems, and backend services to deliver low-latency, high-relevance results at scale.
Support and architect AI platforms for DDN’s Hyperpod, diagnosing issues across NVIDIA AI Enterprise, vector databases, GPUs, Kubernetes, and high-performance storage/networking.
Build and deploy enterprise-grade AI agents and RAG pipelines, orchestrating multi-step reasoning systems with robust governance and observability on GCP or AWS/Azure.
Lead the design and deployment of enterprise-grade generative AI systems for Citi’s operations, building LLM pipelines, RAG systems, and multi-agent workflows in Python on major cloud platforms.
MANTECH seeks a motivated, career and customer-oriented Senior AI ML Engineer . This is currently a hybrid position with two to three days onsite in Ashburn, VA . In this role, you will collaborate within a…
Build and deploy production-grade AI solutions using LLMs, RAG, and agents, integrating them with enterprise systems to solve real business problems.
Build and deploy AI-powered healthcare tools using LLMs and multi-agent systems to improve senior care access and quality.
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