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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.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, vector/graph databases, and Kubernetes.
Build and deploy AI-powered chatbots and automation workflows using LLMs, vector databases, and no-code tools; assist in RAG systems and prompt engineering.
Build and deploy LLM-powered agents and RAG pipelines using PyTorch and Hugging Face, optimizing for accuracy, latency, and cost in a contact-center AI platform.
Build and deploy NLP pipelines using LLMs for contact-center insights, including text classification, summarization, and agentic applications in a fast-moving AI startup.
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.
Designs and builds high-performance data pipelines and retrieval systems to power AI-driven video insights, combining vector search, knowledge graphs, and semantic layers at scale.
Design and build the data infrastructure for a next-gen AI platform, focusing on vector search, knowledge graphs, and semantic retrieval at global scale.
Senior AI Product Engineer builds and maintains a multiplatform AI-powered document system, shipping end-to-end features with React, Node.js, PostgreSQL, and agentic AI workflows using LangGraph and MCP.
Lead the design and development of enterprise AI solutions using Python, RAG, Agentic AI, and LLMs, while engineering enterprise data pipelines and integrating AI into production.
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 Generative AI applications using LLMs, RAG pipelines, and vector databases, from prototyping to cloud deployment on Azure/AWS.
Senior AI consultant designs and iterates LLM prompts, prototypes AI copilots, and builds RAG-based solutions using Python, LangChain, and vector databases for enterprise use cases.
Leads AI initiatives, designs and iterates prompts for enterprise copilots and low-code tools, and prototypes generative AI solutions using Python, LangChain, and vector databases.
Build and deploy generative AI models and autonomous agents to optimize logistics workflows using LLMs, RAG, and vector databases.
Lead AI Engineer builds and architects AI-driven solutions, prototypes with LLMs and GenAI frameworks, and sets engineering standards for scalable, secure, and cost-efficient AI applications.
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…
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