data and ai engineer

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Development &amp; Strategy
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
<h2 class="jobSectionHeader">About Salesforce Ventures
</h2>Salesforce Ventures is one of the most active technology investors in the world, investing across the software and AI ecosystem. Our current portfolio includes Anthropic, ElevenLabs, Physical Intelligence, Crusoe, Lovable, and hundreds of other leading companies spanning over 15 years of investing. We partner with exceptional founders at the frontier of technology and utilize the power of Salesforce's ecosystem to help them scale.
<h2 class="jobSectionHeader">About the Role
</h2>You will be an engineer embedded inside a top-tier venture capital team &mdash; helping to improve the internal systems, data infrastructure, and AI-powered workflows that make a lean investment team move fast and make better decisions. You will also apply your technical expertise to deal processes by contributing to technical diligence and data-driven research that informs investment decisions. 
 
This is not a traditional engineering role. You are joining as a technologist who builds useful systems, navigates a complex technical environment, and solves real problems for a fast-moving team &mdash; with the added dimension of learning the venture business from the inside and applying your technical judgment to how we evaluate companies and markets.
<h2 class="jobSectionHeader">Responsibilities
</h2><ul><li>Design and build internal tools and applications &mdash; deal tracking, portfolio analytics, sourcing workflows, pipeline management, and ad-hoc data requests across investment, finance, marketing, and portfolio development teams.
</li><li>Build and improve data pipelines and reporting infrastructure powering essential firm activities like portfolio reviews, deployment analysis, fund performance measurement, and pipeline analytics.
</li><li>Build and maintain custom integrations &mdash; MCP servers, Slack apps, and other connectors &mdash; that tie together the tools ecosystem and give AI systems deep access to internal data.
</li><li>Help own Salesforce CRM data architecture: object model design, field logic, automation rules, validation, and data quality enforcement.
</li><li>Ideate, build, and deploy AI-powered automations that eliminate manual work across the investment lifecycle: email processing and triage, automated company tagging, meeting brief generation, and portfolio onboarding workflows.
</li><li>Build reusable AI skills, prompt pipelines, and project configurations tailored to investment workflows: sourcing, diligence, competitive analysis, and investment committee preparation.
</li><li>Help conduct technical diligence on active deals &mdash; product architecture, API design, developer experience, infrastructure choices, open-source positioning, scalability, and technical moats.
</li><li>Contribute to deal memos, IC question responses, and technical appendices &mdash; translating engineering assessment into investment language.
</li><li>Design and lead periodic AI enablement sessions for the team &mdash; workflow demos, hands-on building time, and best practices.
</li><li>Evaluate new AI/ML tools for internal usage and support data quality across all connected systems.
</li></ul>Requirements
Strong programming ability in Python and SQL. Tools like Claude Code have fundamentally changed how we write software, and we encourage our team to use them. But AI-driven coding places increased emphasis on engineering judgment. You are accountable for the architecture of what gets built, the quality of what gets shipped, and the maintainability of what other people depend on.
 
Experience building data products or internal tools. You understand how to build something that is useful to downstream users.
 
Comfortable with infrastructure. You've worked with cloud services (we're mostly on AWS) and IaC tools (Terraform). You can navigate working in a complex technical environment.
 
Experience with or strong interest in AI/LLM systems. We work with the technology we invest in.
 
Strong written communication. You can take messy technical and market research and synthesize it into a clear, concise communication. You can distill complex technical topics into meaningful investment insight.
 
Genuine curiosity about technology markets. You follow AI, security, developer tools, infrastructure, or frontier tech because you're interested. You have opinions about products and companies.
Preferred
Experience with Salesforce CRM. Familiarity with ETL/ELT tools (Fivetran, dbt). Experience with Terraform for infrastructure management. Background in venture capital, growth equity, or startup operations. Contributions to open-source projects or a public portfolio of technical work. CS, engineering, or data science degree &mdash; or equivalent self-taught depth. Experience with SaaS metrics, software business models, and/or venture finance.
The Ideal Candidate
You are a curious engineer who is excited for a generalist role. You get excited about building a tool for internal productivity and about reading a technical architecture doc for a Series B infrastructure company. You see a messy spreadsheet and instinctively think about the data model and the pipeline, not just the analysis. You are also comfortable navigating the realities of working inside a large enterprise &mdash; you understand that building at Salesforce Ventures means operating within Salesforce's security reviews, procurement cycles, and approval processes while keeping a lean investment team moving at venture speed. You know when to push, when to be patient, and how to get things done across both environments. You want to understand how venture capital works from the inside &mdash; and you see building technology as the highest-leverage way to contribute to an investment team.
<h2 class="jobSectionHeader">Why This Role
</h2>Immediate impact for a leading technology investor. The tools and infrastructure you build will be used daily by the investment team. This is not a side project or an innovation lab; your work helps runs the operation.
 
Technical depth meets investment exposure. You will help evaluate the architectures of some of the most important companies in AI, security, and infrastructure. Your technical judgment will help inform investment decisions.
 
AI-native from day one. You will build with Claude, MCP servers, custom AI agents, and novel LLM workflows.
 
Unusual growth trajectory. This role develops a rare combination of engineering skill and business acumen. Few roles give you this kind of surface area across the startup and venture ecosystem &mdash; and however your career develops from here, that foundation tends to matter. The ecosystem fluency you build here opens doors that are otherwise hard to reach.
Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $99,400 - $150,300 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $118,900 - $163,500 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Data and AI Engineer, Salesforce Ventures

TRUITY CREDIT UNION

<div>JOB SUMMARY
Truity Credit Union is seeking a data-savvy and forward-thinking Data and AI Engineer to advance our data management and AI enablement capabilities. This role focuses on automating data workflows, refining data quality, and leveraging AI/ML tools to solve practical business problems. Rather than full-scale software development, this position emphasizes data transformation, enrichment, querying, and AI-assisted processing, especially using Python, Node.js and SQL.
You&rsquo;ll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models and apply AI to real-world business/operational problems. 
ESSENTIAL FUNCTIONS
<div><ul><li>Design and implement data manipulation pipelines using scripting languages like Python and SQL for ingestion, cleansing, enrichment, and formatting.</li></ul>
<ul><li>Apply AI tools and frameworks to automate data classification, validation, and reporting tasks.</li></ul>
<ul><li>Configure and test generative models (LLMs) to enhance data-driven workflows and knowledge management.</li></ul>
<ul><li>Build lightweight scripts and tools for on-demand data exploration, transformation, and summarization.</li></ul>
<ul><li>Partner with analysts and business users to identify AI-powered opportunities for streamlining data operations.</li></ul>
<ul><li>Integrate LLM-based agents for structured and unstructured data extraction, Q&amp;A, and document parsing.</li></ul>
<ul><li>Use vector databases, semantic search, and embedding models to enhance data retrieval and knowledge systems.</li></ul>
<ul><li>Support and maintain data pipelines across structured systems (e.g., SQL warehouses) and semi-structured data sources.</li></ul>
<ul><li>Leverage prompt engineering and AI orchestration frameworks (e.g., LangChain, semantic routers) to optimize task handling.</li></ul>
<ul><li>Monitor AI/data automation scripts to ensure accuracy, transparency, and compliance with data privacy standards.</li></ul>
<ul><li>Document data workflows and AI tools clearly for reuse, maintainability, and auditability.</li></ul>
<ul><li>Collaborate with the risk, security, and compliance teams to ensure responsible and ethical use of AI systems.</li></ul>
</div>
KNOWLEDGE, SKILLS, &amp; ABILITIES
<ul><li>Proficiency in Python for scripting, data manipulation, and automation.</li>
<li>Strong command of SQL for querying, transforming, and joining relational data.</li>
<li>Experience with LLM tools and frameworks such as LangChain, OpenAI APIs, Retrieval-Augmented Generation (RAG).</li>
<li>Familiarity with vector stores (e.g., FAISS, Weaviate) and embedding-based search.</li>
<li>Understanding of data pipelines and orchestration tools (e.g., dbt, Airflow, Pandas workflows).</li>
<li>Knowledge of AI agent frameworks and task routing techniques.</li>
<li>Ability to build and refine prompt templates and AI-assisted data workflows.</li>
<li>Comfort working with cloud environments (e.g., Azure, AWS, or GCP).</li>
<li>Strong documentation, communication, and cross-functional collaboration skills.</li>
<li>Knowledge of version control, CI/CD pipelines, and containerization tools is preferred</li>
<li>Awareness of ethical AI, privacy considerations, and data compliance standards.</li>
</ul>
QUALIFICATIONS
<ul><li>Bachelor&rsquo;s degree in Data Science, Computer Science, or related technical field.</li>
<li>5+ years of experience in data engineering, analytics, or scripting-heavy roles.</li>
<li>2+ years working with AI/ML tools or automation frameworks, especially for data-related use cases.</li>
</ul>
REGULATORY COMPLIANCE &amp; OTHER REQUIREMENTS
<ul><li>Must maintain confidentiality and adhere to policies including Bank Secrecy Act (BSA), Office of Foreign Asset Control (OFAC), Anti-Money Laundering (AML), and Identity Theft Red Flags.</li>
<li>Regular attendance and active collaboration are essential.</li>
<li>Ability to perform functions requiring manual dexterity and lift objects up to 25lbs when necessary.</li>
Reasonable accommodations will be made under the ADA when applicable. 
<li>
 
</li></ul>This job description should not be interpreted as all inclusive. It is intended to identify the duties, responsibilities and requirements of this job. Incumbents may be requested to perform job-related responsibilities and tasks other than those stated in this description. Any physical demand of essential function or requirement of this position will be evaluated as necessary should an incumbent/applicant be unable to perform the function or requirement due to a disability as defined by the Americans with Disabilities Act (ADA). Reasonable accommodation for the specific disability will be made for the incumbent/applicant when possible.
Equal Opportunity Employer/Veterans/Disabled
Truity is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact 918.336.7662 or jobs@truitycu.org for assistance. You may also contact us at that same number and email, if you would like to see a copy of our Affirmative Action Plan.</div>

Data & AI Engineer

Almentor

<div>About almentor: almentor is a cutting-edge online video marketplace for e-learning and professional business development throughout the Middle East and Africa. Offering video courses in Arabic and English, we curate top-rated training programs of expert-created content and guided curriculum with interactive delivery.
Our Mission: almentor is on a mission to increase accessibility to affordable quality education for Arabic-speaking communities and a Goal to serve 10 million learners in MENA
Job Overview:
Reporting to the Head of Engineering, your role is to design, build, and operate the data and applied AI foundations that power intelligent learning experiences and business workflows. You will ship production- grade pipelines, retrieval/search systems, and LLM-enabled features that are measurable, secure, and reliable.
We are committed to building software that is not only functional and reliable, but also beautiful and intuitive. Our engineers and designers work together to create products that are a joy to use, and that solve real-world problems in innovative ways. We believe in the Agile and XP methodologies, and we prioritize collaboration, communication, and continuous improvement in everything we do.
We are embarking on an exciting journey of rebuilding our product and engineering organization to drive innovation and growth. Our goal is to create a world-class platform that delivers the best possible learning experiences to our users.
Share the journey along with engineers, product managers, and leaders from the most successful organizations in the region.
As a Senior Data / AI Engineer, You will: 
<ul><li>As a Senior Data / AI Engineer, your days will blend data engineering, applied AI implementation, and operational ownership. You'll spend your time on: 
</li><li>
 Architect, implement, and maintain pipelines that ingest, transform, and serve data for product features, analytics, and AI workflows.</li><li>
Build indexing and retrieval layers (structured + unstructured) to power search, recommendations, and AI assistants (RAG). 
</li><li>
Implement LLM-powered features: prompt orchestration, tool/function calling, RAG patterns, structured extraction, summarization.</li><li>
Add guardrails: policy checks, rate limits, cost controls, and safe handling of sensitive data. Quality, Evaluation, and Observability.</li><li>
Create evaluation harnesses and regression tests for retrieval of quality and AI outputs (offline datasets + automated checks).</li><li>
Instrument pipelines/services with logging, tracing, metrics, and data quality monitoring. 
</li><li>
Partner closely with product managers, designers, and engineers to translate user needs into measurable data/AI capabilities.</li><li>
Participate in sprint planning, refinement, and cross-team alignment to keep execution predictable.</li><li>
Own your pipelines and services in production &mdash; incident response, post-mortems, runbooks, and continuous improvement.</li><li>
Optimize latency, cost, and throughput across data processing, indexing, and AI inference usage.</li><li>
A typical day might look like: checking pipeline freshness and alerts in the morning, tuning chunking/index mappings for a new course search mid-day, pairing with product on evaluation metrics for an AI study Assistant in the afternoon, and ending the day by shipping a monitored RAG endpoint with cost budgets and regression tests.</li></ul>
Role Objectives
<ul><li>Design, oversee, build and operate data pipelines and applied AI systems that power our education platform across consumer and business customer segments.</li><li>
Build and scale retrieval and search foundations (hybrid search, metadata filtering, vector retrieval) that enable AI experiences.</li><li>
Deliver production LLM capabilities with measurable quality, cost controls, and safety guardrails.</li><li>
Improve system performance, reliability, observability, and maintainability through proactive monitoring and data quality checks.</li><li>
Collaborate closely with stakeholders (product managers, designers, frontend/mobile engineers) to translate business requirements into technical solutions.</li><li>
Contribute to sprint planning, technical documentation, and cross-team initiatives as a senior engineering voice.</li><li>
Contributing to sprint planning, technical documentation, and cross-team initiatives as a senior voice in the engineering org</li></ul>
The ideal candidate will have:
<ul><li>4+ years of experience in data engineering, backend engineering, or platform engineering, with meaningful production ownership.</li><li>
Strong SQL and data modeling skills; experience designing schemas and data contracts.</li><li>
Experience building and operating pipelines (batch and/or streaming), including backfills and data quality validation.</li><li>
Experience with search/indexing systems and retrieval patterns (e.g., OpenSearch/Elasticsearch, vector DBs, hybrid search).</li><li>
Hands-on experience implementing LLM-powered features (RAG, tool/function calling, prompt/version management) &mdash; no deep ML required.</li><li>
Familiarity with CI/CD, containerization (Docker), and cloud services (ex. AWS, GCP).</li><li> 
Strong problem-solving and debugging skills, with a proactive attitude towards owning and improving systems.</li><li> 
Strong written and verbal communication skills, with the ability to explain complex ideas clearly to technical and non-technical stakeholders.</li><li>
Bachelor's degree in computer science, Engineering, or a related field is preferred but not required</li></ul></div>

Senior Data & Applied AI Engineer

Al-Raedah for digital transformation

<div>
 
 
 Job Title: AI Engineer
 
 
 
 
 Location:
 
 [Alexandria, San Stefano]
 
 
 
 Employment Type:
 
 Full Time (On-Site).
 
 
 
 Job Categories:
 
 Engineering / Data Science
 
 
 
 Education Level:
 
 Bachelor's Degree
 
 
 
 Experience Needed: 2+
 
 
 
 
 &nbsp;
 
 
 
 
 Job Summary:
 
 
 
 We are looking for &ldquo;AI Engineer&rdquo; to join our team. You will play a key role in building, testing, and deploying AI and machine learning solutions to solve real-world problems and enhance our digital products.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Develop AI-driven tools for geometry manipulation, parametric modeling, and generative design in construction applications.
 </li>
 <li>
 Design, develop, and deploy machine learning models
 </li>
 <li>
 Analyze datasets, extract insights, and create data-driven AI solutions.
 </li>
 <li>
 Collaborate with cross-functional teams to define AI requirements and integration strategies
 </li>
 <li>
 Implement machine learning algorithms to enhance efficiency, accuracy, and automation in design processes.
 </li>
 <li>
 Work with large-scale construction datasets to build AI models for predictive analysis and automation.
 </li>
 <li>
 Collaborate with software engineers and data teams to understand business requirements and deliver intelligent features.
 </li>
 <li>
 Optimize geometry processing algorithms for real-time and large-scale construction data.
 </li>
 <li>
 Stay up to date with the latest AI research and integrate relevant advancements into projects.
 </li>
 <li>
 Write clean, maintainable code and contribute to technical documentation and code reviews.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in computer science, Artificial Intelligence, Data Science, or related field.
 </li>
 <li>
 experience in AI/ML development.
 </li>
 <li>
 Strong foundation in algorithms, data structures, and statistics.
 </li>
 <li>
 &nbsp;Proficiency in Python and at least one ML framework
 </li>
 <li>
 Experience with model deployment, evaluation, and MLOps fundamentals.
 </li>
 <li>
 Experience with Natural Language Processing (NLP) or Computer Vision.
 </li>
 <li>
 Familiarity with big data technologies and database systems.
 </li>
 <li>
 &nbsp;Exposure to Docker, Kubernetes, or DevOps practices.
 </li>
 </ul>
 
 
 
 
 Kindly send your resume to:
 
 careers@elraida.com
 
 
 
 Email Subject: AI Engineer, Alexandria.
 
</div>

AI Engineer

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