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Build and deploy production-grade agentic AI systems for enterprise clients, embedding with their teams to design, architect, and ship multi-agent workflows, RAG pipelines, and evaluation harnesses in Python and cloud environments.
Lead the engineering vision for AI-powered search and personalization at Salesforce’s AgentExchange, designing GenAI-driven discovery, multi-turn agentic search, and scalable indexing to connect customers with solutions across the ecosystem.
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 Adobe’s agentic AI harness platform, designing scalable APIs and orchestration systems to enable reliable, production-ready agentic workflows for millions of users.
Develops and deploys AI/ML models (LLMs, agentic AI, deep learning) for scientific testing and data-driven business solutions in a hybrid team environment.
Design and optimize enterprise RAG platforms using vector databases and semantic search to power AI-driven knowledge systems and integrations with LLMs.
POSITION OVERVIEW MCI is one of the fastest-growing tech-enabled business services companies in the USA, with a strong call center footprint and operations that extend across multiple countries. We deliver Customer…
Build Retrieval-Augmented Generation systems that combine LLMs with enterprise knowledge, designing vector search pipelines and document ingestion to deliver accurate, context-aware AI responses.
Senior Data Engineer Consultant advises on modern data platforms, AI-native architectures, and enterprise-scale design for a partner company in India, focusing on strategic roadmaps rather than day-to-day development.
Designs and executes automated testing frameworks (Cypress, Postman, Azure DevOps) to ensure software reliability, integrates AI tools for test automation, and collaborates with teams to improve quality in complex digital systems.
Build and own an AI-powered creative intelligence platform: design data pipelines, LLM workflows, and semantic search to turn performance data into actionable insights for teams.
Design and govern AI systems for a cloud-native mobile network, including proprietary LLM fine-tuning, RAG pipelines, and AI governance frameworks to automate design reviews and ensure network stability.
Lead the design and deployment of enterprise-scale AI/ML and LLM solutions, including generative AI, RAG, and knowledge graphs, while mentoring teams and ensuring Responsible AI compliance.
Lead a team building AI-powered tools and automation to streamline workplace workflows, including generative AI features and a knowledge graph for enterprise search.
Build and maintain an AI platform on Google Cloud for an insurance company, deploying GenAI/ML services, vector search, and agentic frameworks to power enterprise teams like Actuarial and Underwriting.
Designs and governs AI, data and automation solutions for enterprise clients in energy, public and finance sectors, translating business challenges into scalable, secure AI transformations.
Lead the AI Knowledge Graph product, defining roadmaps and requirements to connect enterprise data into a semantic layer that powers search, analytics, and agentic AI workflows across Cisco’s platforms.
Build AI-powered accessibility tools and agentic workflows using TypeScript, Python, and AWS, owning full-stack systems from design to production for global enterprises.
Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global…
Lead the search and discovery experience for Docusign Agreement Manager, improving AI-first search relevance and integrating chat/workflows to help users find and act on agreements.
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