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Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. SAP BTP Datasphere Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education AI Powered Tech Talent Build AI native, data centric products on SAP BTP Datasphere by combining strong enterprise data warehousing and semantic modeling expertise with agentic AI architectures (LLMs + tools + retrieval + evaluation). The focus is to move beyond dashboards into intelligent data experiences—data agents, conversational analytics, and grounded insights—built on governed Datasphere models and integrated enterprise sources. SAP Datasphere is positioned as a data warehousing solution with integration capabilities. AI Native Data Product Engineering (on Datasphere)
Design and implement governed data products using Datasphere concepts such as Spaces and shareable models/views, enabling teams to explore, transform, and share curated datasets across domains. Build semantic models that are fit for both analytics and AI consumption (clear entity definitions, measures, hierarchies, lineage-friendly design). ~ Retrieval + Grounding (RAG) over Enterprise Data
Create grounded AI experiences by connecting LLM applications to Datasphere s curated models and enterprise sources (SAP and non SAP), ensuring responses are traceable to governed data. Engineer retrieval strategies that respect domain boundaries (spaces), freshness needs, and access controls, so AI outputs remain reliable and compliant. ~ Hybrid Modernization & Migration (BW bridge patterns)
Enable transition paths from legacy warehouse investments by leveraging approaches such as reusing SAP BW models and skills with Datasphere / BW bridge, supporting phased cloud modernization. ~ Lakehouse style Layering & Data Quality by Design
Bronze/Silver/Gold) to land raw data, cleanse/validate, and publish analytics ready models—while maintaining clear rules for what s exposed for consumption. Embed quality controls, validation checks, and reproducible transformations as part of the delivery lifecycle. ~ Build data agents that can plan, call tools (query/metadata/lineage), retrieve context, and generate answers with citations—backed by deterministic checks and fallback behaviors. Evaluation, Observability & Responsible AI
Establish offline/online evaluation loops (golden questions, regression suites, behavior tests) for conversational analytics and data agents. Add telemetry for AI interactions (latency, grounding rate, failure modes) to improve reliability and cost efficiency. ~ Partner closely with business, data governance, and platform teams to align data products with real decisions and operational workflows. Primary Skills (AI Native Must Have) SAP BTP Datasphere: data modeling, spaces, sharing patterns, enterprise semantic design. Strong data warehousing fundamentals and ability to translate business domains into governed analytical models. Hands-on building with LLMs + RAG (retrieval, grounding, prompt/tool design, evaluation). Solid software engineering fundamentals: testability, CI/CD mindset, reliable integrations. Migration/modernization experience leveraging BW bridge style transition patterns. Layered architecture implementation (Bronze/Silver/Gold) for scalable analytics delivery. Familiarity with vector search / embedding pipelines (when integrating external AI retrieval components). Training foundation models from scratch (the emphasis is on building agentic apps and governed retrieval on enterprise data). AI assisted only delivery this role owns the AI behavior (grounding, evaluation, safety) end to end. Faster path from data to decision through conversational + agentic analytics grounded in governed Datasphere models. Scalable modernization of hybrid data estates via patterns like BW bridge. Higher trust AI outputs by implementing layered quality + evaluation loops. A 15 years full time education is required
... cloud infrastructure. Most importantly, you will help strengthen the engineering culture and contribute to Harness’s mission of enabling developers to deliver software faster, more reliably, and securely. As a Staff Software Engineer at Harness, you will play a pivotal role in designing, building, and maintaining our cloud ...
... equivalent AI observability/evaluation platforms for tracing, prompt management, and regression testing of LLM-powered features. - Understanding of responsible AI practices including PHI/PII handling, guardrails, and output validation in healthcare or regulated environments. Experience with AI technologies for software design ...
About the Role :Sahana System Limited is scaling up its AI & Computer Vision practice, and we're hiring 10 Computer Vision AI Developers to join the team. You'll work end-to-end on CV projects from data collection and annotation through model development, optimization, and production deployment across domains like surveillance, ...
... enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, ...
... with AI productivity/development tools Hands-on experience with Claude or similar AI coding assistants Strong understanding of REST APIs Good understanding of software development lifecycle and Agile methodologies Candidate Profile - 7–10 years of relevant software development experience. - Strong hands-on experience in Java ...
... candidate will design, develop, deploy, and support scalable, secure, and high-performance cloud-native applications on AWS. Exposure of 5 to 8 years of overall software development is must including a minimum of 3 years of hands-on experience with AWS cloud services. Design, develop, test, and maintain cloud-native applications ...
... and business impact. - Operational Excellence: Raise the bar for production ownership—SLOs, incident response, capacity planning, and tooling—so the platform remains safe and operable as it scales. What You’ll Add to DigitalOcean - Experience: 10+ years of software engineering experience, with a proven track record operating ...
... Core Web Vitals, SEO, accessibility standards (WCAG), and responsive design principles. Experience developing and integrating AI-powered applications, Generative AI (GenAI) solutions, AI services, and APIs to enhance digital experiences. Familiarity with AI-assisted development tools and modern software engineering practices. ...
We need a Senior Pyspark Developer to work for a leading investment bank client in Trade Surveillance Team. Responsibilities Develop software applications based on business requirements Maintain software applications and make enhancements according to project specifications Participate in requirement analysis, design, development, ...
... full-stack applications utilizing Python, JavaScript, and TypeScript. Architect scalable and efficient systems to support AI-driven functionalities. Work closely with AI researchers and data scientists to integrate machine learning models into applications. Debug, document, and enhance software solutions to ensure optimal user ...
The Role:We are looking for a strong software engineer with good Python fundamentals, comfort working with data, and the ability to learn new technologies https://jobeax.com/link/nEQhhBAY9FmZpNE6 do not need several years of AI experience. What matters more is that you can program well, solve problems logically, understand ...
... of the “Top 100 Most Influential People in the Accounting Profession - Ones To Watch”. About the role In this role, you will get the chance to build innovative AI-powered tax software alongside a dynamic team. You'll work on both our customer-facing product Instead (https://jobeax.com/link/AyTR01V7dE7hYsKm) and our backend ...
... and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Implement and configure ServiceNow SAM Pro, publisher packs, and software models. Manage the software asset lifecycle from procurement ...
... Market Abuse Regulation, Dodd Frank). This also includes Control Room & Suitability Monitoring related data, UI and scenario enhancements. Responsibilities Software programming using Q/KDB backend and UI development using Delta Stream Dashboard builder. Perform data analysis and apply ML/AI based libraries for innovative ...
... PostgreSQL. The candidate will lead a development team, drive architecture and delivery of mobile/web applications, conduct code reviews, mentor engineers, and promote AI-assisted development using tools like Claude and Cursor. Key Responsibilities Lead and mentor a team of full-stack developers. Design, develop, and maintain scalable ...
... empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. AI Disclosure For select roles, some stages of our ...
... and office-based collaboration. Annual Leave: 26 calendar days of annual leave. Health Insurance: Health insurance coverage as part of the benefits package. Paid Maternity Leave: Six months of paid maternity leave. Paid Paternity Leave: 15 days of paid paternity leave. Career and Technical Growth: Opportunity to work on ...
Role Overview: Turing is seeking experienced Java developers to partner with a leading AI research lab in building datasets and evaluation pipelines that improve next-generation AI models. In this role, you'll deliver clean, scalable services in Java, review and refine AI-generated code, and design verification strategies ...
Role Overview: Turing is seeking experienced Java developers to partner with a leading AI research lab in building datasets and evaluation pipelines that improve next-generation AI models. In this role, you'll deliver clean, scalable services in Java, review and refine AI-generated code, and design verification strategies ...
... enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, ...