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Build and operate an agentic AI platform for legal workflows, including orchestration, retrieval, and evaluation systems, using Python and LLM frameworks in a collaborative, startup-like team.
Build and scale the data infrastructure powering Epiq AI Labs’ legal-focused AI platform, including high-volume document ingestion, distributed processing, and vector/search indexing for retrieval and reasoning engines.
Lead enterprise Generative AI strategy, designing advanced RAG architectures and evaluation frameworks to deploy production-grade LLM systems with a focus on accuracy, safety, and business impact.
Design and build AI-powered systems that automate software delivery workflows, integrating agentic AI into R&D, product management, and DevOps toolchains.
Build and operate a secure Kubernetes-based platform for AI engineering tools, implementing GitOps and observability while ensuring sovereignty, reliability, and auditability in a high-security environment.
Boardy is an AI super-connector that helps ambitious professionals build a network that matters. We believe that talent and drive shouldn't be limited by who you know. In a world of LinkedIn spam and transactional…
Build and operate high-throughput ETL/ELT pipelines that ingest blockchain, exchange, and text data, then serve clean datasets and APIs for crypto-market analytics and risk models.
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.
Build production-grade AI systems for investment analysis and procurement using LLM, multi-agent architectures, and RAG pipelines in Python.
Leads a DevOps team maintaining real-time video analytics infrastructure, CI/CD pipelines, and distributed storage clusters for an AI-powered surveillance platform.
Design autonomous network solutions for telecoms using AI frameworks (Vertex AI, LangGraph), APIs, and vector databases to optimize agentic systems and reduce inference costs.
Build and maintain a universal data platform that integrates enterprise data sources into automated pipelines, ensuring high-quality data for AI agents, LLMs, and RAG workflows using Python, SQL, and vector databases.
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 LLM-powered agents and RAG pipelines using PyTorch and Hugging Face, optimizing for accuracy, latency, and cost in a contact-center AI platform.
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.
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.
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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