Urwah Admin

Salt

<div>
 
 
 Tax Consultant - VAT, WHT, Income Tax &amp; Transfer Pricing
 
 
 
 Role Purpose
 
 
 The company is seeking a Tax Consultant to provide continuous tax advisory and compliance support across VAT, withholding tax, income tax, transfer pricing, and other tax-related matters.
 
 
 The consultant will support Finance, Supply Chain, and Sales in ensuring correct tax treatment, timely compliance, proper documentation, and effective management of tax risks across customer contracts, vendor arrangements, cross-border transactions, and intercompany activities.
 
 
 The role is intended to provide practical, business-oriented tax support on an ongoing basis, not only annual or ad hoc advisory.
 
 
 
 
 
 Key Responsibilities
 
 
 1. VAT Compliance and Advisory
 
 <ul>
 <li>
 Review VAT treatment for customer invoices, vendor invoices, credit notes, contracts, and commercial arrangements.
 </li>
 <li>
 Support the preparation, review, and filing of VAT returns.
 </li>
 <li>
 Advise on VAT implications of local and cross-border transactions.
 </li>
 <li>
 Review VAT clauses in customer and vendor contracts where required.
 </li>
 <li>
 Support Finance in responding to tax authority inquiries, assessments, audits, and clarification requests.
 </li>
 <li>
 Identify VAT risks, incorrect treatments, or recoverability issues and recommend corrective actions.
 </li>
 </ul>
 
 
 
 
 2. Withholding Tax
 
 <ul>
 <li>
 Review payments to non-resident vendors and determine the applicable WHT treatment.
 </li>
 <li>
 Advise on WHT rates, treaty eligibility, supporting documents, filing requirements, and payment timelines.
 </li>
 <li>
 Support monthly WHT return preparation, review, filing, and payment.
 </li>
 <li>
 Review vendor contracts before signing to identify WHT exposure and tax gross-up risks.
 </li>
 <li>
 Maintain a WHT tracker covering taxable payments, filings, certificates, and open exposures.
 </li>
 <li>
 Support Finance and Supply Chain in resolving vendor tax questions and ensuring tax matters are handled through the appropriate Finance channels.
 </li>
 </ul>
 
 
 
 
 3. Income Tax Support
 
 <ul>
 <li>
 Support annual income tax compliance, including data preparation, reconciliations, schedules, and review of tax computations.
 </li>
 <li>
 Review tax provisions and tax-related financial statement disclosures where applicable.
 </li>
 <li>
 Coordinate with external auditors, tax advisors, shareholder tax teams, and relevant internal stakeholders.
 </li>
 <li>
 Support responses to tax assessments, inquiries, objections, and appeals.
 </li>
 <li>
 Identify potential income tax exposures and recommend appropriate treatment, documentation, or mitigation actions.
 </li>
 </ul>
 
 
 
 
 4. Transfer Pricing
 
 <ul>
 <li>
 Support annual transfer pricing compliance, including disclosure forms, local file, master file, and related party transaction documentation.
 </li>
 <li>
 Review intercompany agreements, service charges, management fees, cost allocations, and shareholder-related transactions.
 </li>
 <li>
 Assess whether related party transactions are properly supported and aligned with arm&rsquo;s length principles.
 </li>
 <li>
 Coordinate with parent company tax teams and external advisors on transfer pricing matters.
 </li>
 <li>
 Maintain documentation supporting related party balances, charges, and tax positions.
 </li>
 </ul>
 
 
 
 
 5. Sales and Customer Contract Tax Support
 
 <ul>
 <li>
 Support the Sales and Commercial teams in reviewing tax implications of customer contracts, proposals, pricing structures, and billing models.
 </li>
 <li>
 Advise on VAT treatment, invoicing requirements, tax clauses, and cross-border customer arrangements.
 </li>
 <li>
 Provide clear guidance on tax matters that may affect customer pricing, billing, collections, or contract execution.
 </li>
 <li>
 Review tax-related contract language to ensure the company&rsquo;s position is protected.
 </li>
 <li>
 Support Finance in ensuring that tax-sensitive commercial matters are reviewed before commitments are made to customers.
 </li>
 </ul>
 
 
 
 
 6. Supply Chain and Vendor Tax Support
 
 <ul>
 <li>
 Support Supply Chain and Procurement in reviewing vendor contracts, purchase orders, and cross-border service arrangements.
 </li>
 <li>
 Advise on WHT, VAT, tax gross-up clauses, treaty documentation, and vendor tax obligations.
 </li>
 <li>
 Ensure tax implications are identified before vendor negotiations are concluded.
 </li>
 <li>
 Provide practical guidance to Supply Chain on tax matters that affect vendor pricing, payment processing, or contract terms.
 </li>
 <li>
 Support vendor discussions where tax expertise is required, while ensuring Finance maintains ownership of tax positions.
 </li>
 </ul>
 
 
 
 
 7. Tax Governance, Controls, and Process Improvement
 
 <ul>
 <li>
 Develop and maintain tax policies, procedures, checklists, and approval workflows.
 </li>
 <li>
 Strengthen tax controls over VAT, WHT, tax filings, contract reviews, billing, and vendor payments.
 </li>
 <li>
 Establish tax review checkpoints within procurement, sales, contracting, invoicing, and payment processes.
 </li>
 <li>
 Maintain a tax risk register and provide periodic updates to the CFO.
 </li>
 <li>
 Train Finance, Supply Chain, Sales, and other relevant teams on practical tax requirements and common tax risks.
 </li>
 <li>
 Support ERP improvements to ensure correct VAT codes, tax classifications, and tax reporting outputs.
 </li>
 </ul>
 
 
 
</div>

Tax Consultant - KSA National

<div>
 
 
 Job Title &ndash; Ai Engineer
 
 
 
 
 Salary &ndash; AED 25,000 - 28,500 Per Month
 
 
 
 
 Contract Length &ndash; 12 Months Contract
 
 
 
 
 Location &ndash; Dubai
 
 
 
 
 Start Date - ASAP
 
 
 
 
 
 
 My client is a global data, AI, digital transformation, and consulting company that helps organisations use data and technology to improve business performance, customer experience, and decision-making.
 
 
 
 
 
 
 Role Overview
 
 : The AI Engineer is the primary builder within the AWA AICoE. You will design, build, and test the LangGraph agent graphs, LLM extraction pipelines, prompt management workflows, and MCP tool integrations that power AWA's use cases &mdash; starting with Intelligent Document Processing (IDP) for cheque clearing and expanding across the bank's operations. You will work directly with the dual-layer orchestration stack (Orkes Conductor + LangGraph) and Azure AI Foundry to deliver production-grade agentic systems.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Agent graph development: Design and implement LangGraph agent graphs for Supervisor-Worker orchestration, self-reflection, actor-critic, and HITL interrupt patterns using TypedDict state schemas and conditional edge routing.
 </li>
 <li>
 LLM extraction pipeline: Build and maintain LLM-based entity extraction pipelines using Azure AI Foundry, implementing structured output enforcement, per-field confidence scoring, and Pydantic output validation against Use Case Manifest schemas.
 </li>
 <li>
 Prompt engineering and governance: Author, version, and govern prompts through the AWA Prompt Management System (PMS) using semantic versioning; run prompt sensitivity and correctness testing using the AWA IDP Test Strategy.
 </li>
 <li>
 MCP tool integration: Develop and maintain the five core MCP tool servers (query_structured, retrieve_precedents, query_documents, checkpoint_state, observe) and extend them for new use case requirements.
 </li>
 <li>
 Model evaluation and testing: Execute Band 1 and Band 2 testing (Model Testing, Prompt Testing, Agent Testing, AI Security Testing, Adversarial Testing) per the AWA IDP Test Strategy; maintain the Golden Dataset and Regression Dataset.
 </li>
 <li>
 HITL framework: Implement HITL interrupt() calls at mandatory and dynamic review points in LangGraph graphs; configure Orkes Wait tasks; validate HITL state persistence and checkpoint-based resumption.
 </li>
 <li>
 AI guardrail integration: Integrate Azure AI Content Safety, PII detection and tokenisation, prompt injection shielding, and output sanitisation into agent pipelines at the AWA AI Gateway layer.
 </li>
 <li>
 Cross-field validation rules: Implement business validation rules (amount-words-vs-figures, date validity, MICR format, referential integrity) within LangGraph validation agent nodes.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Required Skills and Experience
 
 
 
 
 Technical &mdash; Essential
 
 
 <ul>
 <li>
 5+ years Python development &mdash; production-grade, not just scripting
 </li>
 <li>
 Hands-on experience with LangGraph, LangChain, or equivalent agentic AI frameworks
 </li>
 <li>
 Practical LLM prompt engineering: structured outputs, few-shot design, output schema enforcement
 </li>
 <li>
 Familiarity with Azure AI Foundry / OpenAI API or equivalent LLM API (Anthropic, Cohere)
 </li>
 <li>
 Understanding of agent design patterns: ReAct, self-reflection, tool use, HITL
 </li>
 <li>
 REST API development and consumption; JSON schema design
 </li>
 <li>
 Git version control; CI/CD pipeline awareness
 </li>
 </ul>
 
 
 
 
 
 Technical &mdash; Advantageous
 
 
 <ul>
 <li>
 Experience with Orkes Conductor, Apache Airflow, or Temporal for workflow orchestration
 </li>
 <li>
 Azure AI Document Intelligence or equivalent OCR platform experience
 </li>
 <li>
 Computer vision model integration (object detection APIs)
 </li>
 <li>
 Knowledge of RAG architectures: chunking, vector indexing, Azure AI Search
 </li>
 <li>
 Azure platform familiarity: AKS, ADLS Gen2, Azure ML, Azure Monitor
 </li>
 <li>
 Pydantic, FastAPI, TypeScript/Node.js
 </li>
 </ul>
 
 
 
 
 
 Domain and Soft Skills
 
 
 <ul>
 <li>
 Genuine intellectual curiosity about AI systems and their failure modes
 </li>
 <li>
 Ability to explain AI behaviour to non-technical Ops and business stakeholders
 </li>
 <li>
 Structured problem-solving and debugging approach for non-deterministic AI systems
 </li>
 <li>
 Banking domain interest &mdash; willingness to deeply understand the business processes being automated
 </li>
 </ul>
 
 
 
 
 Thanks,
 
 
 Ollie
 
 
 
 
</div>

Ai Engineer

<div>
 
 🤖
 
 Site Reliability Engineer (SRE) &ndash; AI Platforms
 
 
 
 
 📍 Abu Dhabi
 
 
 
 
 ⏳ 6-month initial contract - with extensions
 
 
 
 
 
 
 
 Help Build AI Platforms That Never Sleep
 
 
 
 We're partnering with one of the UAE's leading financial institutions to hire
 
 2 Site Reliability Engineers (SREs)
 
 to support the delivery of a next-generation
 
 Agentic AI platform
 
 powering the future of digital banking. This is far more than a traditional SRE role. You'll sit at the intersection of
 
 Site Reliability Engineering, Test Automation, Cloud Infrastructure and AI Quality Assurance
 
 , ensuring enterprise AI services are resilient, secure, scalable and production-ready. You'll build the automated frameworks that validate AI outputs while maintaining the reliability and performance of cloud-native applications running across Azure and AWS.
 
 
 
 
 
 As a
 
 Site Reliability Engineer
 
 , you'll take ownership of
 
 Production Readiness
 
 across enterprise AI applications and cloud infrastructure. You'll develop automated testing frameworks, define reliability standards, implement observability, and ensure AI-powered services consistently meet the performance, security and compliance standards expected within a highly regulated banking environment. Working alongside AI Engineers, DevOps Engineers, Software Developers and Cloud Architects, you'll play a critical role in ensuring the platform performs reliably at scale.
 
 
 
 
 
 
 What You'll Be Doing
 
 
 
 Site Reliability Engineering
 
 <ul>
 <li>
 Design and implement resilient, highly available cloud platforms.
 </li>
 <li>
 Build automated recovery and self-healing capabilities.
 </li>
 <li>
 Conduct chaos engineering exercises to validate system resilience.
 </li>
 <li>
 Perform load and stress testing to ensure applications can support banking-scale workloads.
 </li>
 </ul>
 
 Automated Testing &amp; Quality Engineering
 
 <ul>
 <li>
 Develop automated regression testing frameworks using Python.
 </li>
 <li>
 Integrate automated testing into CI/CD pipelines.
 </li>
 <li>
 Validate both application functionality and infrastructure deployments.
 </li>
 <li>
 Ensure every release meets enterprise quality standards before production.
 </li>
 </ul>
 
 AI Quality &amp; Validation
 
 <ul>
 <li>
 Build automated frameworks to evaluate AI model responses.
 </li>
 <li>
 Validate prompt behaviour and AI-generated outputs.
 </li>
 <li>
 Measure AI performance using established evaluation techniques and custom benchmarks.
 </li>
 <li>
 Help improve the reliability and consistency of enterprise AI services.
 </li>
 </ul>
 
 Observability &amp; Monitoring
 
 <ul>
 <li>
 Define Service Level Indicators (SLIs) and Service Level Objectives (SLOs).
 </li>
 <li>
 Develop dashboards and proactive monitoring solutions.
 </li>
 <li>
 Configure intelligent alerting to identify issues before they impact customers.
 </li>
 <li>
 Analyse platform health, reliability and performance trends.
 </li>
 </ul>
 
 Security &amp; Compliance
 
 <ul>
 <li>
 Automate security testing and compliance validation.
 </li>
 <li>
 Ensure AI services comply with banking security, privacy and data residency requirements.
 </li>
 <li>
 Support continuous platform governance and operational excellence.
 </li>
 </ul>
 
 Cloud Optimisation
 
 <ul>
 <li>
 Identify inefficient infrastructure and unnecessary cloud spend.
 </li>
 <li>
 Improve platform performance while optimising operational costs.
 </li>
 <li>
 Support FinOps initiatives across AI workloads.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 
 Essential Skills &amp; Experience
 
 <ul>
 <li>
 Strong commercial experience in Site Reliability Engineering, Platform Engineering or Test Automation
 </li>
 <li>
 Expert Python development skills
 </li>
 <li>
 Experience with automation frameworks including
 
 PyTest, Selenium or Robot Framework
 
 </li>
 <li>
 Hands-on experience with Azure and/or AWS cloud platforms
 </li>
 <li>
 Experience building automated CI/CD testing pipelines
 </li>
 <li>
 Strong understanding of cloud networking, scalability and reliability
 </li>
 <li>
 Experience with infrastructure validation and Infrastructure-as-Code concepts
 </li>
 <li>
 Knowledge of monitoring and observability tools including:
 </li>
 <li>
 Azure Monitor
 </li>
 <li>
 AWS CloudWatch
 </li>
 <li>
 Grafana
 </li>
 <li>
 Prometheus
 </li>
 <li>
 Experience with performance testing tools such as
 
 K6 or JMeter
 
 </li>
 </ul>
 
 
 
 
 
 AI Experience
 
 
 
 We're looking for engineers who have worked on
 
 AI, Generative AI, Conversational AI or Agentic AI
 
 projects and understand how to evaluate AI system performance.
 
 
 Experience with any of the following would be highly beneficial:
 
 <ul>
 <li>
 Prompt Engineering
 </li>
 <li>
 LLM evaluation
 </li>
 <li>
 Retrieval-Augmented Generation (RAG)
 </li>
 <li>
 AI benchmarking
 </li>
 <li>
 ROUGE/BLEU scoring
 </li>
 <li>
 AI quality evaluation frameworks such as
 
 DeepEval, Ragas or LangSmith
 
 </li>
 </ul>
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Bash scripting
 </li>
 <li>
 GitHub Actions
 </li>
 <li>
 Terraform (validation and governance)
 </li>
 <li>
 Serverless cloud architectures
 </li>
 <li>
 FinOps or cloud cost optimisation
 </li>
 <li>
 Experience working within highly regulated industries such as banking or financial services
 </li>
 </ul>
 
 
 
 
 
 Why Join?
 
 
 
 This is a chance to work on one of the most ambitious enterprise AI programmes in the Middle East.
 
</div>

Full Stack Engineer

<div>
 
 We are hiring
 
 𝐈𝐓 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫
 
 for an Abu Dhabi-based opportunity 🇦🇪. This opportunity is ideal for an Emirati professional who enjoys combining technical expertise with project delivery, supporting the successful implementation of enterprise IT solutions in a dynamic environment.
 
 
 
 
 
 
 
 
 𝐊𝐞𝐲 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬
 
 
 &bull; Drive the technical execution of IT projects by supporting the deployment and operation of business-critical systems.
 
 
 &bull; Work closely with cross-functional teams to resolve technical challenges and ensure project milestones are delivered on schedule.
 
 
 &bull; Evaluate system health through regular performance reviews and implement improvements that enhance reliability and efficiency.
 
 
 &bull; Assist in configuring, maintaining, and optimizing software platforms while ensuring seamless connectivity across integrated systems.
 
 
 &bull; Produce clear technical documentation, maintain project records, and provide regular updates on implementation progress.
 
 
 &bull; Participate in testing, validation, and continuous improvement activities to ensure solutions meet operational and quality expectations.
 
 
 
 
 
 
 
 
 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬
 
 
 &bull; Bachelor's degree in Computer Engineering, Software Engineering, Information Technology, Electronics, Telecommunications, or a related engineering discipline.
 
 
 &bull; 2+ years of experience supporting IT infrastructure, enterprise applications, or technology implementation projects.
 
 
 &bull; Good understanding of operating systems, networking principles, databases, and system integration concepts.
 
 
 &bull; Strong problem-solving mindset with the ability to prioritize multiple tasks in a fast-paced environment.
 
 
 &bull; Excellent communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.
 
 
 
 
 
 
 
 
 𝐖𝐡𝐚𝐭 𝐌𝐚𝐤𝐞𝐬 𝐓𝐡𝐢𝐬 𝐑𝐨𝐥𝐞 𝐒𝐭𝐫𝐨𝐧𝐠
 
 
 This is an excellent opportunity to build hands-on experience in large-scale technology projects while working alongside experienced professionals. The role offers exposure to end-to-end project delivery, modern IT environments, and continuous learning within a collaborative team.
 
 
 
 
 
 
 
 
 𝐇𝐨𝐰 𝐭𝐨 𝐀𝐩𝐩𝐥𝐲
 
 
 Interested candidates with relevant experience are encouraged to apply.
 
 
 
 
 
 
 
 
 
 
 ***Only shortlisted candidates will be contacted***
 
 
 
</div>

IT Project Engineer (EMIRATI)

<div>
 
 
 Job Title &ndash; Kafka Engineer
 
 
 
 
 Salary &ndash; AED 20,00 &ndash; AED 25,400 Per Month
 
 
 
 
 Contract Length &ndash; 12 Months Contract
 
 
 
 
 Location &ndash; Dubai
 
 
 
 
 Start Date - ASAP
 
 
 
 
 
 
 My client is a global data, AI, digital transformation, and consulting company that helps organisations use data and technology to improve business performance, customer experience, and decision-making.
 
 
 
 
 
 
 Job Summary:
 
 
 
 
 
 
 The client is seeking a highly skilled Confluent Kafka Engineer to join the team. The ideal candidate will be responsible for the development, User Acceptance Testing (UAT), and production support of our Confluent Kafka-based systems. This role requires deep expertise in Kafka architecture, including Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect. The engineer will collaborate closely with cross-functional teams to ensure the smooth operation of the data streaming services and provide support across various environments.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 Development:
 
 
 
 
 <ul>
 <li>
 Design, develop, and implement Kafka-based solutions to meet business requirements, utilizing Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect.
 </li>
 <li>
 Write and maintain high-quality code for Kafka producers, consumers, and stream processing applications.
 </li>
 <li>
 Develop and manage Kafka connectors for seamless integration with external systems, ensuring data consistency and reliability.
 </li>
 <li>
 Utilize Kafka Streams for real-time processing of streaming data, transforming and enriching data as it flows through the pipeline.
 </li>
 <li>
 Employ KSQLDB for stream processing tasks, including real-time analytics and transformations.
 </li>
 <li>
 Collaborate with data engineers, software developers, and DevOps teams to integrate Kafka solutions with existing systems.
 </li>
 <li>
 Ensure all Kafka-based solutions are scalable, secure, and optimized for performance.
 </li>
 </ul>
 
 
 
 
 User Acceptance Testing (UAT):
 
 <ul>
 <li>
 Develop and execute UAT plans to validate Kafka solutions, including components such as Kafka Streams, KSQLDB, and Kafka Connect, before deployment to production.
 </li>
 <li>
 Work closely with QA teams to identify and resolve defects during the UAT phase.
 </li>
 <li>
 Ensure all UAT activities comply with the organization&rsquo;s standards and best practices.
 </li>
 <li>
 Provide detailed reports on UAT outcomes and work with developers to implement necessary fixes.
 </li>
 </ul>
 
 
 
 
 Production Support:
 
 <ul>
 <li>
 Monitor and maintain Kafka clusters, including components like Confluent Control Center, to ensure high availability and reliability of data streaming services.
 </li>
 <li>
 Troubleshoot and resolve issues related to Kafka performance, latency, and data integrity, including issues specific to Kafka Streams, KSQLDB, and Kafka Connect.
 </li>
 <li>
 Perform routine maintenance tasks such as patching, upgrades, and backups for Kafka clusters and associated components.
 </li>
 <li>
 Implement monitoring solutions to proactively identify and mitigate potential production issues, leveraging Confluent Control Center for comprehensive cluster visibility.
 </li>
 <li>
 Provide 24/7 support for production systems, including participation in on-call rotation
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Experience:
 
 
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience with Apache Kafka and Confluent Kafka in a production environment, including experience with Confluent Control Center, KSQLDB, Kafka Streams, and Kafka Connect.
 </li>
 <li>
 Proven experience in Kafka development, including producer and consumer API, stream processing, and connector development.
 </li>
 <li>
 Experience with Kafka cluster management, including setup, configuration, monitoring, and troubleshooting.
 </li>
 <li>
 Familiarity with distributed systems, microservices architecture, and event-driven design patterns.
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, Azure) and containerization (Kubernetes) is a plus.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Proficiency in programming languages such as Java, Python, or Scala.
 </li>
 <li>
 Strong knowledge of Kafka internals, including brokers, zookeepers, topics, partitions, and offsets.
 </li>
 <li>
 Experience with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks (e.g., Log4j, ELK Stack).
 </li>
 <li>
 Proficiency in using Confluent Control Center for monitoring, managing, and optimizing Kafka clusters.
 </li>
 <li>
 Expertise in Kafka Streams for building scalable, fault-tolerant stream processing applications.
 </li>
 <li>
 Experience with KSQLDB for real-time processing and analytics on Kafka topics.
 </li>
 <li>
 Strong understanding of Kafka Connect for integrating Kafka with external data sources and sinks.
 </li>
 <li>
 Understanding of networking, security, and compliance aspects related to Kafka.
 </li>
 <li>
 Familiarity with CI/CD pipelines and automation tools (e.g., Jenkins, GitLab CI).
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong analytical and problem-solving abilities.
 </li>
 <li>
 Excellent communication and teamwork skills.
 </li>
 <li>
 Ability to work independently and manage multiple tasks effectively.
 </li>
 <li>
 A proactive approach to learning new technologies and improving existing processes.
 </li>
 </ul>
 
 
 
 
 Regards,
 
 
 Ollie
 
</div>

Kafka Engineer

<div>
 
 
 Staff Full-Stack Engineer (Java + React)
 
 
 
 
 Building the Next Generation of Agentic AI Platforms
 
 
 
 
 
 
 My client is building the next generation of agentic platforms and AI-powered enterprise systems.
 
 
 As a
 
 Staff Full-Stack Engineer
 
 , you won&rsquo;t just ship features- you&rsquo;ll architect the core systems that power intelligent workflows at scale. You&rsquo;ll design both the
 
 brains and nervous system
 
 of the platform: robust Java backend services paired with high-quality React.js interfaces.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Design, build, and scale end-to-end full-stack systems
 </li>
 <li>
 Architect backend services in
 
 Java (Spring Boot / microservices)
 
 </li>
 <li>
 REST APIs
 </li>
 <li>
 Asynchronous workflows
 </li>
 <li>
 Distributed state management
 </li>
 <li>
 Build modern frontend applications using
 
 React.js + TypeScript
 
 </li>
 <li>
 Integrate LLM-based agents, RAG pipelines, vector stores, and orchestration workflows
 </li>
 <li>
 Define and own API contracts for frontend, third-party, and enterprise integrations
 </li>
 <li>
 Ensure system performance, reliability, observability, and security
 </li>
 <li>
 Champion clean architecture, testing strategies, CI/CD, and documentation
 </li>
 <li>
 Influence platform-level architecture decisions
 </li>
 <li>
 Mentor engineers and elevate engineering standards across the team
 </li>
 </ul>
 
 
 
 
 
 What You Bring
 
 
 <ul>
 <li>
 9+ years of full-stack engineering experience
 </li>
 <li>
 Strong expertise in
 
 Java (Spring Boot / microservices)
 
 </li>
 <li>
 Deep experience building applications with
 
 React.js
 
 </li>
 <li>
 Experience with REST APIs, PostgreSQL, Redis, Kafka (or similar event systems)
 </li>
 <li>
 Strong frontend architecture and performance optimization skills
 </li>
 <li>
 Hands-on experience with GCP, Docker, and CI/CD pipelines
 </li>
 <li>
 Comfort operating in 0-to-1 and fast-scaling startup environments
 </li>
 <li>
 Strong communication skills and cross-functional collaboration ability
 </li>
 <li>
 Ownership mindset with a passion for building high-quality systems
 </li>
 </ul>
 
 
 
 
 *** Only successful candidates will be contacted ****
 
</div>

Staff Full Stack Engineer

Join Salt and explore 16   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.