search engineer

DocuSign

<div><h2 class="jobSectionHeader"><b>Company Overview</b></h2><div><br>
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).</div><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>What You'll Do</b></h2><p><br>
Docusign is seeking a Senior Software Engineer to architect the next generation of our Search &amp; Data Platform. As part of the Intelligent Agreement Management (IAM) initiative, our team is transitioning customer-facing reporting and search capabilities to a modern, highly scalable cloud data platform. You will move beyond standard feature development to build the distributed infrastructure that allows millions of users to instantly discover, filter, and analyze their agreements. We are looking for a builder who loves Elasticsearch, distributed systems, and solving never-been-done-before problems at scale. You will work closely with product leaders from proof-of-concept to V1 release, ensuring our solutions are fault-tolerant, secure, and blazingly fast.</p><p></p><p><br>
This position is an individual contributor role reporting to the Sr. Manager, Machine Learning.</p><p></p><div><p><b><br>
Responsibility</b></p></div><ul><li><p>
Design and build fault-tolerant, high-throughput search systems using microservices architecture (primarily C#/.NET or Java)</p></li><li><p>
Lead the implementation and optimization of Elasticsearch clusters to ensure sub-second query performance across petabytes of data</p></li><li><p>
Develop and deploy scalable services in Azure or AWS, leveraging containerization (Docker/Kubernetes) and infrastructure-as-code</p></li><li><p>
Collaborate with Product Management to translate marketing requirements into technical designs, drive implementation, write ample test coverage (TDD), and oversee the release process</p></li><li><p>
Mentor junior engineers, conduct code reviews, and work with cross-site teams to drive engineering best practices</p></li><li><p>
Identify and resolve production issues, ensuring 99.99% availability for critical search services</p></li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Job Designation</b></h2><div><p><b><br>
Hybrid:</b></p>
Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)</div><div></div><div><p><br>
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.</p></div><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>What You Bring</b></h2><div><p><b><br>
Basic</b></p></div><ul><li><p>
BS in Computer Science, Electrical Engineering, Informatics, or relevant fields</p></li><li><p>
8+ years of software development experience in object-oriented languages (C#, Java, C++, or Go)</p></li><li><p>
3+ years of experience with large-scale data systems and search engines (e.g., Elasticsearch, Solr)</p></li><li><p>
3+ years of experience with distributed data processing frameworks (e.g., Apache Spark, Kafka)</p></li><li><p>
2+ years of experience building services in public cloud environments (Azure, AWS, or GCP)</p></li></ul><div><p><b>
Preferred</b></p></div><ul><li><p>
Master&rsquo;s degree in Computer Science or related field</p></li><li><p>
Experience with the Microsoft technology stack (.NET Core, C#, SQL Server)</p></li><li><p>
Direct involvement in the design and operation of high-availability SaaS platforms (99.9%+ uptime)</p></li><li><p>
Familiarity with modern frontend frameworks (React) to understand how customers consume search APIs</p></li><li><p>
Strong background in Agile/Scrum methodologies and CI/CD pipelines (Git, Jenkins, Azure DevOps)</p></li></ul><br>
<br>
<p></p><h2 class="jobSectionHeader"><b>Wage Transparency</b></h2><div><br>
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.</div><div></div><div><br>
Based on applicable legislation, the below details pay ranges in the following locations:</div><div></div><div><br>
Washington, Maryland, New Jersey and New York (including NYC metro area): $151,200.00 - $222,450.00 base salary</div><div></div><div><br>
This role is also eligible for the following:</div><ul><li>
Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.</li><li>
Stock: This role is eligible to receive Restricted Stock Units (RSUs).</li></ul><div></div><div><p><br>
Global benefits</p>
provide options for the following:</div><ul><li>
Paid Time Off: earned time off, as well as paid company holidays based on region</li><li>
Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement</li><li>
Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment</li><li>
Retirement Plans: select retirement and pension programs with potential for employer contributions</li><li>
Learning and Development: options for coaching, online courses and education reimbursements</li><li>
Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events</li></ul><div><p><b>
Work Authorization Notice:
</b></p>Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.</div><br>
<p></p>
<br>
<p></p><h2 class="jobSectionHeader"><b>Life At Docusign</b></h2><div><p><b><br>
Working here</b></p></div><div>
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.</div><div></div><div><br>
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.</div><div></div><div><p><b><br>
Accommodation</b></p></div><div>
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.</div><div></div><div><br>
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.</div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>Our global benefits</b></h3>
<div></div><div><div><div><h4 class="jobSectionHeader"><b>Paid time off</b></h4>
<div>Take time to unwind with earned days off, plus paid company holidays based on your region.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Paid parental leave</b></h4>
<div>Take up to six months off with your child after birth, adoption or foster care placement.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Full health benefits</b></h4>
<div>Options for 100% employer-paid health plans from day one of employment.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Retirement plans</b></h4>
<div>Select retirement and pension programs with potential for employer contributions.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Learning &amp; development</b></h4>
<div>Grow your career with coaching, online courses and education reimbursements.</div>
</div></div><div></div><div><div><h4 class="jobSectionHeader"><b>Compassionate care leave</b></h4>
<div>Paid time off following the loss of a loved one and other life-changing events.</div></div></div></div></div>

Senior Software Engineer

Google

<div>
 <strong>
  Minimum qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  </li>
  <li>
   5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) or 2 years of experience with a Master's degree.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About the job
 </strong>
 The Search Data Science team's goal is to drive Search product excellence and growth with data insights. We perform analysis to help the Search organization make big investment decisions. We do research on topline and operational metrics for Search products to help them make data-driven decisions. We work closely with product teams end-to-end to help them build products that users love. This includes headroom analysis, product-market fit, experiment analysis, and helping leadership make trade-offs between engaging metrics (e.g., richness of experience versus search latency). We provide insights to drive responsible growth for Search; most importantly, long-term user value is what we care about the most.
 <br/>
 <br/>
 As a Data Scientist on the Google Apps team, you will help improve the user experience and drive growth for a product with over 100 million users. You will join a motivated and dedicated team, where your work will have a significant global impact. You will use user log analysis, experimentation, and data visualization to deliver more accurate information and ensure users can easily meet their needs. Ultimately, you will help make Google Apps the go-to source for relevant information, globally.
 <br/>
 <br/>
 The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
 <br/>
 <br/>
 Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with cross-functional team members within Google's App Growth organization to define and execute strategies for acquiring and retaining users on both iOS and Android platforms.
  </li>
  <li>
   Provide quantitative support, market understanding, and a perspective to our partners throughout the organization.
  </li>
  <li>
   Work with large data sets and solve non-routine investigative issues, applying statistical methods to measure quality, improve consumer products, and understand end-user behavior.
  </li>
  <li>
   Make compelling business recommendations through effective presentations of findings to multiple levels of stakeholders and solid storytelling with data.
  </li>
  <li>
   Interact cross-functionally with a wide variety of teams, working closely with Product Manager and Engineering leads to identify growth and quality opportunities for the product.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>


Product Data Scientist, Search

Apple

<p>The people here at Apple don't just craft products - they build the kind of wonder that's revolutionized entire industries! It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it!<br>
<br>
The Data Services OpenSearch team at Apple invites passionate engineers to join our team to develop and contribute to OpenSearch, the leading Open-Source Search and Analytics suite. Our engineers develop and maintain OpenSearch solutions that powers critical observability, log analytics, and real-time monitoring for Apple&rsquo;s critical services across Business units. You will be joining a team of experts working on modern search technologies, distributed systems, and data analytics engineering, helping push the limits of Open-Source OpenSearch to deliver enterprise-class performance, scalability, reliability and security. This role offers the opportunity to impact the experiences of millions of users by developing scalable search, monitoring and analytics solutions for Apple&rsquo;s critical services.<br>
<br>
<b>Description</b><br>
<br>
The OpenSearch team at Apple is responsible for developing and managing a highly available, cloud-based search service. We seek innovative, detail-oriented engineers who can contribute to a wide range of OpenSearch components, including query parsing, indexing, cluster management, security, scalability, and new feature development. Your contributions will drive the service&rsquo;s performance, availability, and resilience, supporting a variety of applications and services at Apple.<br>
<br>
Success in this role requires a high level of expertise in several of the following:<br>
<br>
Understanding of distributed computing concepts, including sharding, data replication, and fault tolerance.<br>
<br>
Familiarity with operating system concepts such as process management and network I/O.<br>
<br>
Comprehensive knowledge of indexing, searching and analytics concepts (e.g., text analysis, relevancy tuning, and multi-modal search).<br>
<br>
Advanced software engineering skills with Java ecosystem expertise, object-oriented design principles, and experience in building maintainable, scalable applications.<br>
<br>
Hands-on experience with production deployment workflows, including CI/CD pipelines, container orchestration, version control systems, and distributed systems observability.<br>
<br>
Experience with advanced topics like autoscaling, request tracing, and performance tuning in high-throughput systems.<br>
<br>
Strong understanding of testing methodologies and experience with debugging and profiling tools.<br>
<br>
The role demands excellent communication skills and the ability to work closely with both the Search Engineering and DevOps teams. A customer-focused mindset is essential when delivering solutions to internal stakeholders, and collaboration with teams across different global locations is crucial. Mentorship abilities to guide and support junior engineers are also important.&quot;,&quot;responsibilities&quot;:&quot;Develop new features and implement bug fixes in OpenSearch project and related plugins<br>
<br>
Develop and maintain Apple-internal control plane for OpenSearch<br>
<br>
Collaborate with the DevOps team in case of production escalations.<br>
<br>
Act as a subject matter expert to help our partners and users to understand the technology better<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Strong analytical and problem-solving capabilities, with a keen attention to detail.<br>
<br>
Excellent written and verbal communication skills with proven collaboration abilities<br>
<br>
Passionate about Open-Source contributions and community engagement.<br>
<br>
Experience in contributing to or maintaining Open-Source software projects.<br>
<br>
Experience with public clouds (GCP or AWS)<br>
<br>
Experience with Kubernetes<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
5+ years of relevant experience in the IT industry, specifically in search engines, distributed systems<br>
<br>
High proficiency in languages such as Java, Kotlin, or Go<br>
<br>
Strong understanding of data structures, algorithms, and indexing techniques specific to search engines<br>
<br>
In-depth knowledge of search engine internals, ideally with OpenSearch or similar platforms such as OpenSearch or Elasticsearch or Solr<br>
<br>
Strong knowledge of Linux/Unix Internals, Systems/Application Design &amp; Architecture<br>
<br>
Expertise in identifying performance bottlenecks and implementing optimization strategies<br>
<br>
Bachelor Science in Computer Science or related fields or equivalent work experience<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Software Development Engineer, Database (OpenSearch), AI & Data Platforms (AiDP)

<p>The people here at Apple don't just craft products - they build the kind of wonder that's revolutionized entire industries! It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it!<br>
<br>
The Data Services OpenSearch team at Apple invites passionate engineers to join our team to develop and contribute to OpenSearch, the leading Open-Source Search and Analytics suite. Our engineers develop and maintain OpenSearch solutions that powers critical observability, log analytics, and real-time monitoring for Apple&rsquo;s critical services across Business units. You will be joining a team of experts working on modern search technologies, distributed systems, and data analytics engineering, helping push the limits of Open-Source OpenSearch to deliver enterprise-class performance, scalability, reliability and security. This role offers the opportunity to impact the experiences of millions of users by developing scalable search, monitoring and analytics solutions for Apple&rsquo;s critical services.<br>
<br>
<b>Description</b><br>
<br>
The OpenSearch team at Apple is responsible for developing and managing a highly available, cloud-based search service. We seek innovative, detail-oriented engineers who can contribute to a wide range of OpenSearch components, including query parsing, indexing, cluster management, security, scalability, and new feature development. Your contributions will drive the service&rsquo;s performance, availability, and resilience, supporting a variety of applications and services at Apple.<br>
<br>
Success in this role requires a high level of expertise in several of the following:<br>
<br>
Understanding of distributed computing concepts, including sharding, data replication, and fault tolerance.<br>
<br>
Familiarity with operating system concepts such as process management and network I/O.<br>
<br>
Comprehensive knowledge of indexing, searching and analytics concepts (e.g., text analysis, relevancy tuning, and multi-modal search).<br>
<br>
Advanced software engineering skills with Java ecosystem expertise, object-oriented design principles, and experience in building maintainable, scalable applications.<br>
<br>
Hands-on experience with production deployment workflows, including CI/CD pipelines, container orchestration, version control systems, and distributed systems observability.<br>
<br>
Experience with advanced topics like autoscaling, request tracing, and performance tuning in high-throughput systems.<br>
<br>
Strong understanding of testing methodologies and experience with debugging and profiling tools.<br>
<br>
The role demands excellent communication skills and the ability to work closely with both the Search Engineering and DevOps teams. A customer-focused mindset is essential when delivering solutions to internal stakeholders, and collaboration with teams across different global locations is crucial. Mentorship abilities to guide and support junior engineers are also important.&quot;,&quot;responsibilities&quot;:&quot;Develop new features and implement bug fixes in OpenSearch project and related plugins<br>
<br>
Develop and maintain Apple-internal control plane for OpenSearch<br>
<br>
Collaborate with the DevOps team in case of production escalations.<br>
<br>
Act as a subject matter expert to help our partners and users to understand the technology better<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Strong analytical and problem-solving capabilities, with a keen attention to detail.<br>
<br>
Excellent written and verbal communication skills with proven collaboration abilities<br>
<br>
Passionate about Open-Source contributions and community engagement.<br>
<br>
Experience in contributing to or maintaining Open-Source software projects.<br>
<br>
Experience with public clouds (GCP or AWS)<br>
<br>
Experience with Kubernetes<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
2+ years of relevant experience in the IT industry, specifically in search engines, distributed systems<br>
<br>
High proficiency in languages such as Java, Kotlin, or Go<br>
<br>
Strong understanding of data structures, algorithms, and indexing techniques specific to search engines<br>
<br>
In-depth knowledge of search engine internals, ideally with OpenSearch or similar platforms such as OpenSearch or Elasticsearch or Solr<br>
<br>
Strong knowledge of Linux/Unix Internals, Systems/Application Design &amp; Architecture<br>
<br>
Expertise in identifying performance bottlenecks and implementing optimization strategies<br>
<br>
Bachelor Science in Computer Science or related fields or equivalent work experience<br>
<br>
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $210,100, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>10 years of experience with cloud native architecture in a customer-facing or support role.</li>
<li>Experience in one or more core areas: infrastructure modernization, Cloud runtimes (Google Kubernetes Engine (GKE)/Cloud Run), databases, or networking and security.</li>
<li>Experience with cloud infrastructure or application modernization in a delivery role.</li>
<li>Experience in deployment planning, orchestration, or change management, as well as in programming languages, debugging, or systems design.</li>
<li>Ability to communicate in English and Arabic fluently in order to work in this client-facing role.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Experience with Infrastructure as Code (Terraform) and CI/CD pipelines, and in programming languages (Python, Go) for automation.</li>
<li>Experience with SRE principles, incident response protocols, lean/agile methodologies to manage delivery flow and eliminate waste.</li>
<li>Experience guiding Global Systems Integrators (GSIs) or partners through technical implementations and enforcing quality standards.</li>
<li>Familiarity with Google Cloud Foundation Toolkit (CFT) or similar standardized deployment libraries.</li>
<li>Ability to act as a player-coach, upskilling customer teams through code walkthroughs and technical workshops.</li>
<li>Ability to navigate ambiguity, facilitate technical workshops, and guide customers through the organizational change to adopt a new cloud-powered business process.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
As a Google Cloud Platform (GCP) Outcome Customer Engineer (OCE), you will drive initial and ongoing business generation ramp for our customers, clearing blockers and ensuring they get the maximum benefit from their investment faster. You will manage and execute the deployment plan, transitioning scoped workloads into production by providing technical leadership to customers and partners. You will have a direct impact on the velocity and incremental consumption of customer workloads, leading to accelerated value realization, higher adoption, and future expansion opportunities. You will blend sales expertise, market knowledge, direct technical engagement, and technical project management to prove the value of the Google Cloud portfolio.Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Develop and orchestrate a structured, end-to-end deployment plan across customer and partner teams, on-boarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training).</li>
<li>Employ skills such as coding, debugging, or systems design to resolve technical blockers and accelerate deployment.</li>
<li>Drive and track progress of the initial and ongoing ramp of workloads, moving customers from agreement to consumption as quickly as possible.</li>
<li>Identify expansion opportunities for new workloads within the account during project execution.</li>
<li>Drive sustainable product usage to help customers realize value on an ongoing basis and secure future agreement renewals.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Outcome Customer Engineer, Google Cloud Platform (English, Arabic)

Openkyber

<div><b>Role:</b> GenAI Engineer Locations: Alpharetta, GA (Hybrid Onsite) Duration: 12+ Months Contract F2F Interview MUST Note: Candidate needs to be in the office 3-4 Days every week. Local or candidates from adjacent states only.<br>
<b>Role Overview:</b> Candidates must have experience delivering enterprise AI solutions in production environments (NOT only POC or personal projects/ Educational Projects) We are seeking a Senior GenAI Engineer with strong experience in machine learning, generative AI and enterprise scale AI platform development. The ideal candidate should have hands-on experience building production grade AI systems including Retrieval Augmented Generation (RAG) platforms, vector search pipelines, autonomous AI agents and scalable ML model deployment. The role requires expertise in Python based ML development, LLM frameworks, vector databases and AI orchestration frameworks such as LangChain, LangGraph and Hugging Face.<br>
<b>Required Skills:</b> Experience with enterprise level projects only. Strong Python development experience 7 years. Hands-on experience with RAG Vector, DB Embeddings and document chunking, Semantic search pipelines. Experience with LangChain, LangGraph and Hugging Face. Experience with Pandas, NumPy and data preprocessing pipelines. Experience deploying ML models as REST APIs and integrating AI with enterprise systems.<br>
<b>Preferred Skills:</b> Experience with Natural Language Processing NLP and Deep Learning Familiarity with Transformers and Large Language Models LLMs Experience with Cloud ML platforms such as Azure AI, AWS SageMaker, etc.<br>
<b>Nice to Have:</b> Experience building AI agents or autonomous systems. Knowledge of vector databases Pinecone Weaviate Milvus FAISS. Experience with MLOps practices Docker and Kubernetes. Exposure to multimodal AI systems.<br>
<b>In compliance with the salary transparency law, the expected pay range for this role is $57.00 $62.00/hr. Actual compensation depends on experience and interview evaluation.</b>
<p><b>For applications and inquiries, contact:</b> hirings@openkyber.com</p></div>

Generative AI Intern

NavitasPartners

<div><p><b>Job Title:</b> AI/ML Engineer (LLM &amp; Generative AI)</p>
<h3 class="jobSectionHeader"><b>
Location: </b><b>Plano, TX or Hopewell, NJ</b></h3>
<h6 class="jobSectionHeader"><b>Note: </b><b>Client is looking for someone, who is eligible for getting Security Clearance at any point of time.</b></h6>
<p></p><h3 class="jobSectionHeader"><b>Job Summary:</b></h3>
<p>
We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy advanced AI solutions, including large language model (LLM)-based applications and generative AI systems. The ideal candidate will have hands-on experience with modern AI frameworks, cloud platforms, and scalable deployment practices.</p>
<p></p>
<h3 class="jobSectionHeader"><b>Key Responsibilities:</b></h3>
<ul>
<li><p>Develop and deploy AI/ML models, LLM-based solutions, and generative AI applications</p>
</li>
<li><p>Design and implement MCP servers and AI-driven architectures</p>
</li>
<li><p>Build and optimize prompts, RAG pipelines, embeddings, and vector search solutions</p>
</li>
<li><p>Design AI workflows using platforms such as Azure OpenAI, AWS, Google Cloud Platform, Hugging Face, LangChain, and Semantic Kernel</p>
</li>
<li><p>Integrate AI models into production systems using APIs, Python, and cloud services</p>
</li>
<li><p>Collaborate with business stakeholders to identify use cases and deliver measurable outcomes</p>
</li>
<li><p>Ensure adherence to responsible AI practices, including data privacy and model governance</p>
</li>
</ul><p></p><h3 class="jobSectionHeader"><b>Required Skills:</b></h3>
<ul>
<li><p>Hands-on experience with LLMs (e.g., GPT, Claude, Llama, Gemini)</p>
</li>
<li><p>Strong understanding of machine learning, NLP, computer vision, and model evaluation techniques</p>
</li>
<li><p>Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, and Scikit-learn</p>
</li>
<li><p>Experience with RAG architectures and vector databases (e.g., FAISS, Pinecone, Chroma, Azure AI Search)</p>
</li>
<li><p>Experience with cloud platforms: Azure, AWS, or Google Cloud AI services</p>
</li>
<li><p>Knowledge of MLOps, CI/CD for ML pipelines, and scalable model deployment</p>
</li>
</ul><p></p><h3 class="jobSectionHeader"><b>Preferred Skills:</b></h3>
<ul>
<li><p>Experience with AI copilots, automation frameworks, and agentic AI systems</p>
</li>
<li><p>Familiarity with Docker, Kubernetes, microservices, and API orchestration</p>
</li>
<li><p>Strong ability to communicate complex AI/ML concepts clearly to technical and non-technical stakeholders</p>
</li>
</ul><p></p><h3 class="jobSectionHeader"><b>Additional Skills:</b></h3>
<ul>
<li><p>Python</p>
</li>
<li><p>Machine Learning</p>
</li>
<li><p>AI Technologies (OpenShift, React)</p>
</li>
</ul><p>For more details reach at<b> resumes@navitassols.com.</b></p></div>

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