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Hands-on Forward Deployed Engineer building and deploying Salesforce Data 360 (real-time data engine) solutions directly in enterprise customer environments, using SQL, Python, Apex, and Data Cloud tooling to engineer data pipelines, RAG/vector search layers, and agent-to-agent integrations for Agentforce.
This role involves modernizing mission-critical legacy applications for federal programs by integrating AI-enabled capabilities and cloud-native services. The developer will work with a modern tech stack including Python, Java, and AWS to refactor legacy systems while maintaining business continuity.
Desired Skills and Experience: 7 - 10 years of experience with architecting, designing and implementing end-to-end cloud infrastructure solutions across leading Cloud platforms with a special focus on Azure and Google…
Ownership of data models and storage architecture behind AI systems across relational, graph, and retrieval-oriented data Building and operating APIs, backend services, and pipelines to keep data current and accessible…
Through proprietary software and AI, along with a focus on customer delight, Sleek makes the back-office easy for micro SMEs.We give Entrepreneurs time back to focus on what they love doing - growing their business and…
The Pre-Sales Solutions Architect Leader leads a global team of SAs to drive technical win rates and deal velocity across all sales channels (direct, hyperscalers, accelerators, partners) for Supabase’s Postgres development platform, ensuring scalable technical coverage and team development.
Forward Deployed Engineer embedded with biopharma customers to design, build, and ship AI-powered production systems (Python/Django, AWS Bedrock, PostgreSQL) directly into Condor's core platform, solving clinical operations and financial workflow problems.
Senior Software Engineer building AI-powered internal tools (code assistants, search, chat) to boost developer productivity at Instacart, using Python/Go/Java, LLMs, and cloud infrastructure.
Designs and builds secure, scalable data pipelines and analytics platforms for federal clients using AWS, Python, Spark, and modern data tools while ensuring compliance with FedRAMP and NIST controls.
Designs and builds scalable data pipelines and cloud-native analytics platforms for federal clients using Python, Spark, AWS services, and modern data formats, while ensuring compliance with FedRAMP and NIST security controls.
Builds and deploys AI-driven mental health support systems, focusing on LLM safety, guardrails, and ethical design for a global crisis support platform.
Senior Fullstack Developer building a generative AI platform for orchestrating agents, flows, and models using Node.js, Python, LangChain, CrewAI, React, and vector databases in a fully remote role.
Builds and deploys GenAI applications (LLM-based assistants, search engines, automation tools) by designing RAG pipelines, integrating cloud AI models, and ensuring scalability, security, and performance for enterprise clients.
Build and deploy secure AI/ML microservices for defense/intel missions, integrating open-source and proprietary models, RAG pipelines, and vector search in multi-cloud environments.
The Fullstack Developer builds and maintains Gen AI applications by developing ReactJS frontends and Python-based backend services. The role involves integrating LLMs, managing RAG pipelines, and deploying containerized solutions across major cloud platforms.
Senior AI Engineer/Technical Consultant designs and delivers AI solutions for clients, leading from architecture to production using Python, LLMs, and cloud platforms like Azure/GCP/AWS.
This role involves building and maintaining the data platform and backend services that power AI features for an educational platform. You will design data models, manage ingestion pipelines, and ensure system reliability in a production environment using Python, SQL, and AWS.
Design and operate the data platform behind Instructure's AI features—data models, pipelines, and backend services using Python, SQL, AWS, and relational/graph databases.
Design and deliver AI/GenAI solutions (LLMs, RAG, agents) for clients as an AI Solutions Architect, combining hands-on architecture with pre-sales activities on cloud platforms like AWS, Azure, and GCP.
Develops cloud-native AI applications using Python, focusing on LLMs/SLMs for business insights, with end-to-end ownership of scalable systems, APIs, and GenAI solutions.
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