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Builds AI-powered developer tools and security integrations to automate workflows, enhance productivity, and embed secure coding practices using LLMs, RAG, and AI agents.
Design and lead enterprise AI data architectures, including RAG pipelines, vector indexing, and knowledge graphs, to enable AI agents while enforcing strict data governance and security.
Builds secure, AI-ready data pipelines and retrieval systems for enterprise GenAI agents, focusing on ingestion, normalization, vector search, and governance across tools like SharePoint, Git, and monitoring systems.
Build real-time data pipelines and vector databases to power AI agents, transforming logs and docs into embeddings for RAG systems.
Build and validate AI-driven features for a no-code data-integration SaaS, using LLMs, vector DBs, and agentic frameworks to prototype and ship new capabilities.
Build and deploy scalable data pipelines and AI infrastructure for enterprise clients, focusing on ETL/ELT, vector databases, and real-time streaming to power AI-driven solutions.
Build and deploy ML systems that power healthcare workflows: speech-to-text, LLM note-taking, and chat-based clinical assistants in a cloud-native stack.
Senior technical leader shaping enterprise AI and data strategy for Salesforce’s Agentforce and Data360, advising C-suite on architecture, publishing thought leadership, and building reusable assets for EMEA’s largest customers.
Architect and own LSports’ GCP-based cloud platform and its agentic AI layer, designing scalable, secure systems for real-time sports data and LLM-powered automation.
Senior ML Engineer builds and deploys ranking, semantic-search, and recommender systems using LLMs and vector databases to deliver personalized financial insights for global professionals.
Build and optimize data pipelines on Databricks, engineer datasets for AI models, and implement retrieval architectures while integrating generative AI capabilities.
Build and deploy AI agents for Adobe Express, designing agentic architectures, prompt systems, and RAG pipelines to power production workflows and scale.
Builds and integrates LLMs with ontologies and knowledge graphs to create AI-powered reasoning systems for government clients, using Java, Python, and semantic technologies.
Design and operate cloud-native infrastructure and Kubernetes platforms that power AI products and enterprise SaaS, focusing on security, scalability, and cost efficiency.
Lead enterprise AI and data-science projects from discovery to production, designing scalable ML solutions and guiding teams on Azure, Databricks and Snowflake.
Callimacus is developing a platform that orchestrates multi-agent interactions for demanding enterprise customers. You will join a small, senior team where the foundation is still being set, and your decisions will…
Engineering Manager, AI Platform Location: IND-Hyderabad-Sohini Tech Park, 3rd Floor, Financial District Remote Type: Hybrid: Work in Office Part-Time Time Type: Full time Job Description At Epiq , your work…
The Mission AI71 is seeking a Senior QA Automation Engineer to lead the validation and verification strategies for ai71's AI transformation. In this role, you will define "what good looks like" for…
Builds and deploys enterprise AI solutions using LLMs and Python, integrating them with Microsoft 365 and cloud platforms while following secure coding practices.
Develops and deploys AI/ML models (LLMs, agentic AI, deep learning) for scientific testing and data-driven business solutions in a hybrid team environment.
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