The lead will drive applied research across retrieval, ranking, and agent-centric search systems, focusing on designing and improving multi-stage retrieval pipelines and developing grounding approaches for LLMs using real-time web data. Responsibilities also include defining evaluation methodologies, leading experimentation on modern retrieval techniques, and working closely with engineering to deploy research into production at scale.
Remote Software Development Jobs (56,012)
Job category = Software Development
The Senior Data Engineer will lead the implementation of AI and LLM-based tooling to automate data engineering workflows, including developing automated frameworks for ingestion, transformation, orchestration, and deployment using AI accelerators. Responsibilities also include taking technical ownership of software components, designing solutions, providing production support, and ensuring operational readiness.
Consultant Expérimenté - Data & Deals M&A Analytics - F/H
Deloitte
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Full Time
·
16 Weeks Ago
Deloitte
The role involves integrating into the Data & Analytics team to support clients with data transformation projects, Deals Analytics, and data analysis, requiring rapid understanding of client needs and technical specification writing. Responsibilities also include developing Data & Deals Analytics solutions, ensuring adherence to best practices, providing support and maintenance, and reporting progress and risks to management.
The specialist will develop integrations directly on the Boomi platform in collaboration with internal teams, co-developing solutions to demonstrate best practices and architecture patterns. They will also mentor and guide developers applying the platform to accelerate real integration projects and operational use cases.
This role involves leading the development of custom client-facing software and AI-powered tools for legal workflows, splitting time between hands-on coding and guiding a small engineering team.
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Senior Software Engineer / Solutions Architect (Python & GenAI) 53 APPLICANTS
Provectus
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Full Time
·
16 Weeks Ago
Provectus
The role involves writing production-grade Python code for AI integrations, backend services, and RESTful APIs, while also implementing and optimizing RAG systems for real client business challenges. Responsibilities include owning the technical direction of client engagements, leading discovery, driving architecture decisions, and supporting presales activities.
Senior Software Engineer / Solutions Architect (Python & GenAI) 12 APPLICANTS
Provectus
·
Full Time
·
16 Weeks Ago
Provectus
The role involves writing production-grade Python code for AI integrations, backend services, and RESTful APIs, while also implementing and optimizing RAG systems for real client business challenges. Responsibilities include owning the technical direction of client engagements from discovery through delivery, supporting presales activities, and mentoring engineers.
The Principal Solutions Architect will provide architectural leadership for a major platform modernization program, guiding the end-to-end architecture of a cloud-native, AWS-hosted ecosystem across multiple product teams. This involves defining target-state architecture, governing solution decisions, establishing standards, and ensuring alignment with strategic and commercial goals.
Senior Salesforce Administrator (Technical | AI-Enabled | Media Cloud & Agentforce)
Trigg Digital, Ltd.
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Full Time
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16 Weeks Ago
Trigg Digital, Ltd.
The role involves owning end-to-end Salesforce configuration across objects, automation, and security models, with a focus on designing scalable solutions within core clouds, Media Cloud, and Agentforce implementations. Responsibilities also include using AI-assisted tools like Claude Code and ChatGPT to accelerate development, validation, and troubleshooting of complex logic.
Senior Salesforce Consultant (Technical | AI-Enabled | Media Cloud & Agentforce)
Trigg Digital, Ltd.
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Full Time
·
16 Weeks Ago
Trigg Digital, Ltd.
The consultant will translate business requirements into scalable Salesforce solutions, leading client engagements through discovery, design, and solution walkthroughs. Key duties include owning end-to-end configuration, designing advanced Flow automation, and delivering solutions across core and emerging capabilities like Media Cloud and Agentforce.
The Senior Solutions Engineer will collaborate with sales teams to articulate solutions, participate as a technology expert in meetings, conduct demos, and manage strategic accounts to influence sales strategies. Responsibilities also include analyzing business requirements, facilitating customer evaluations, performing technical troubleshooting, and gathering technical requirements to develop cost-effective solutions.
The Senior Data Engineer will build and manage business data pipelines, transforming telemetry data into reliable, structured datasets for decision-making. They will partner with various teams to ensure data quality, accuracy, and performance while evolving the data platform.
The role involves building and managing business data pipelines, transforming telemetry data into reliable datasets, and partnering with various teams to create models and metrics that inform company decisions. Responsibilities also include monitoring data quality using observability tools and ensuring data governance and privacy policies are enforced across large datasets.
The Senior Data Engineer will build and manage business data pipelines, transforming telemetry data into reliable, high-quality datasets for decision-making. They will partner with various teams to create models and metrics, ensure data quality through monitoring, and evolve the data platform.
The role involves being a problem-solver focused on finding the root cause of customer business processing issues and implementing preventative measures. The engineer will utilize structured approaches, tools, and troubleshooting skills to resolve problems quickly and effectively across infrastructure, operating systems, and the application stack.
Senior AI Software Engineer - GCP (Work From Home)
Quantrics Enterprises Inc.
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Full Time
·
16 Weeks Ago
Quantrics Enterprises Inc.
The role involves designing, building, and deploying AI/ML solutions utilizing GCP services like Vertex AI and BigQuery ML, while developing platform services for AI agent orchestration and LLM integration using Python frameworks. Responsibilities also include collaborating on CI/CD pipelines, building event-driven AI architectures with various GCP services, and leading/mentoring team members in AI/ML engineering best practices.
Commercial B2B – Business Developer H/F – TUNISIE 18 APPLICANTS
L3M Holding
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Full Time
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16 Weeks Ago
L3M Holding
The role involves launching and structuring the B2B commercial activity, developing revenue by creating opportunities, managing the sales pipeline, and closing sales. The candidate will also create sales presentations and documentation in collaboration with the design and copywriting team.
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The Senior Data Engineer will lead the implementation of AI and LLM-based tooling to automate data engineering workflows, including developing automated frameworks for ingestion, transformation, orchestration, and deployment using AI accelerators. Responsibilities also include taking technical ownership of software components, designing solutions, providing production support, and ensuring operational readiness.
Digital Assets - Blockchain Software Developer 25 APPLICANTS
Franklin Templeton
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Full Time
·
16 Weeks Ago
Franklin Templeton
The role involves designing, developing, and deploying secure smart contracts across EVM-compatible networks and Stellar, while integrating AI coding assistants and LLM-driven workflows into the daily engineering process. Responsibilities also include building multi-chain infrastructure, testing/auditing contracts, and collaborating with product partners to deliver robust on-chain solutions.
This role involves serving as a trusted technical advisor and champion for the EMEA AI Natives developer ecosystem, driving adoption of NVIDIA technologies by demonstrating groundbreaking solutions and accelerating critical workloads. The manager will also guide partners and startups through integration, track ecosystem growth, and collaborate cross-functionally to optimize adoption strategies.
The role involves designing scalable architectures for machine learning platforms, AI services, and data processing pipelines, ensuring high availability and performance of ML-powered applications. Responsibilities also include architecting end-to-end ML pipelines, guiding implementation of MLOps practices, and providing architectural leadership to engineering teams.
You will design, train, and deploy machine learning models for retrieval, reranking, and search relevance in production. This role involves working on systems operating at large scale and collaborating closely with engineering teams.
The AWS Engineer will support F6S AWS customers by providing expertise to help configure or manage their AWS environments. This involves supporting customers in configuring and managing their existing AWS setups.
The AWS Engineer will support F6S AWS customers by configuring and managing their AWS environments, providing expertise to help users configure or manage their AWS infrastructure.
The AWS Engineer will support F6S AWS customers by providing expertise to help configure or manage their AWS environments. This involves supporting customers in configuring and managing their existing AWS infrastructure.
The role involves designing, developing, and maintaining modern data pipelines and Lakehouse architectures primarily using Azure Databricks, Spark, and Azure Data Factory. Key tasks include building data transformations with PySpark/SQL, implementing Delta Lake, and integrating data from various sources into the platform.
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The role involves solving customer business processing issues by getting to the root cause and implementing preventative measures using analytical and troubleshooting skills. Responsibilities include working with tools and processes to quickly and effectively resolve problems across infrastructure, virtualization, operating systems, and the application stack.
The role involves designing, developing, and maintaining modern data pipelines and Lakehouse architectures primarily using Azure Databricks, Spark, and Azure Data Factory. Key tasks include building data transformations, implementing Delta Lake structures, and integrating data from various sources into the analytical layers.
The mission involves improving and expanding the capabilities of the Mimica Webapp (MERN stack) by designing robust architecture, developing new features, and taking operational responsibility for the built components. Day-to-day tasks include developing data visualization tools, building real-time frontend services for graph data editing, and owning projects end-to-end.
The developer will be responsible for creating well-designed and tested code using best practices for web development, including responsive design, and incorporating data from back-end databases and services. They must collaborate closely with technical experts to ensure optimal network performance and seamless integration of multiplayer features while being at the forefront of the web presence.
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