agentic ai engineer

General Dynamics Information Technology

<div></div><div><div><div>Clearance Level
<div>None</div>
</div><div></div><div>Category
<div>Data Science and Data Engineering</div>
</div><div></div><div>Location
<div>Falls Church, Virginia</div>
<i>(</i><i>Hybrid Workplace</i><i>)</i>
</div><div>
</div></div><div><div>Key Skills For Success
</div><div><p>AI Frameworks</p>
</div><div><p>AI Ops</p>
</div><div><p>Model Evaluation</p>
</div></div><div></div><div><div><div><div><div><div>
</div></div></div><div><h5 class="jobSectionHeader"><b>REQ#:</b><b> </b><b>RQ217980</b></h5>
<h5 class="jobSectionHeader"><b>Public Trust:</b><b> </b><b>None</b></h5>
<h5 class="jobSectionHeader"><b>Requisition Type:</b><b> </b><b>Pipeline</b></h5>
<h5 class="jobSectionHeader"><b>Your Impact</b></h5>
<p>Own your opportunity to be at the center of GDIT&rsquo;s business operations. Make an impact by collaborating across functions to make mission success achievable.</p>
<h2 class="jobSectionHeader"><b>Job Description</b></h2>
<div><p>As an <b>Agentic </b><b>AI Engineer,</b> you will be responsible for designing, developing and deploying AI models, algorithms and systems to enhance productivity, decision-making and automation within the organization.</p>
<p></p><p>If you have 1+ years of experience developing products or functional prototypes using RAG and agentic AI technologies, we want to speak with you!</p><br>
<p><br>
<b>MEANINGFUL WORK AND PERSONAL IMPACT</b>
<br>
As an <b>Agentic </b><b>AI Engineer,</b> the work you&rsquo;ll do at GDIT will be impactful to the mission.
</p><ul><li><p>Architect and implement production-grade multi-agent AI solutions with modern orchestration frameworks, enabling reliable, transparent, and secure agentic workflows</p>
</li><li><p>Build and maintain end-to-end agentic AI pipelines, from data ingestion and embedding to deployment and continuous evaluation, optimized for reusability and scalability</p>
</li><li><p>Develop, test, and deploy internal AI applications that enhances people-powered, AI-enabled productivity</p>
</li><li><p>Provide unified observability with logging, metrics, and alerts and analyze agent runtime behavior to tune latency, accuracy, and cost in production</p>
</li><li><p>Integrate agentic AI services with existing enterprise systems and uphold AIOps practices for consistent deployment and scaling</p>
</li><li><p>Collaborate with cross-functional teams including data scientists, software engineers, and product / service owners to align AI projects with business goals</p>
</li><li><p>Must stay updated on emerging AI related technologies and recommend improvements to existing AI systems</p><br>
</li></ul><p><br>
<b>WHAT YOU&rsquo;LL NEED TO SUCCEED</b>
<br>
Bring your expertise and drive for innovation to GDIT. The <b>Agentic</b> <b>AI Engineer </b>must have:
</p><ul><li><p><b>Education</b>: Bachelor&rsquo;s Degree in Computer Science, Computer Engineering, Data Science or a related field</p>
</li><li><p><b>Experience</b>:</p>
</li><li><p><b>5+ years of experience in AI and machine learning, including hands-on experience with designing, developing, and deploying AI models and systems.</b></p>
</li><li><p><b>1+ years of experience developing products or functional prototypes using RAG and agentic AI technologies.</b></p>
</li><li><p><b>Must have designed and/or implemented hands-on an agentic workflow solution (not just simply prompt engineering to LLMs)</b></p>
</li><li><p><b>Role requirements</b>:</p>
</li><li><p>Proven track record of delivering end-to-end AI projects and successfully integrating AI solutions into business processes.</p>
</li><li><p>Proficiency in programming languages such as Python, R, or Java, and deep understanding of machine learning frameworks like TensorFlow or PyTorch.</p>
</li><li><p>Strong hands-on experience with MCP, LangGraph, LlamaIndex, or similar agentic frameworks.</p>
</li><li><p>Deep understanding of prompt or context engineering, tool definition, and state management for agents.</p>
</li><li><p>Experience with cloud computing platforms, such as Azure (Preferred), OCI, AWS, or Google Cloud, including AI services like Azure AI Foundry, Bedrock, or Vertex AI.</p>
</li><li><p>Strong background in working with large datasets and performing data preprocessing, feature engineering, and model evaluation.</p>
</li><li><p><b>Preferred Skills and Abilities:</b> Masters degree. Advanced coursework or a Certification in AI, Machine Learning or related areas desirable</p>
</li><li><p><b>Location: Hybrid 3 days in Falls Church office</b></p>
</li><li><p>US Persons required</p><br>
</li></ul><div><br>
GDIT IS YOUR PLACE
<br>
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
<ul><li>Growth: AI-powered career tool that identifies career steps and learning opportunities
</li><li>Support: An internal mobility team focused on helping you achieve your career goals
</li><li>Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
</li><li>Community: Award-winning culture of innovation and a military-friendly workplace
</li></ul><br>
OWN YOUR OPPORTUNITY
<br>
Explore a career in data science and engineering at GDIT and you&rsquo;ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Work Requirements</b></h3>
</div></div><div></div><div><div>Years of Experience
<p>5 + years of related experience</p>
<ul><li>may vary based on technical training, certification(s), <b><i>or</i></b> degree</li></ul>
</div><div></div><div>Certification
</div><p></p><div>Travel Required
<p>Less than 10%</p>
</div></div></div></div><div><h3 class="jobSectionHeader"><b>Salary and Benefit Information</b></h3>
<p>The likely salary range for this position is $169,604 - $229,464. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
</p>
<h3 class="jobSectionHeader"><b>Our Identity Verification Process</b></h3>
<p>As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.</p>
<h3 class="jobSectionHeader"><b>About Our Work</b></h3>
<div></div><p>We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.</p>
<p>Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</p>
<p><i>Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></p></div></div></div></div>

Agentic AI Engineer

Salesforce

<div><p><i>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.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>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.
</p><p></p><p>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.
</p><p></p><div>Job Description
<div>Job Description
</div></div><div><div><div><div><div><div><div><div><div><p><i>ware engineers, product managers and solution engineers closely to design, implement and iterate agentic AI systems with customers.
</i><br>
<br>
<i>With your strong technical competence, strategic thinking and customer engagement, you will innovate at the frontier of the field, having the opportunity to create new solutions and define new categories of product with meaningful impact to Salesforce customers and beyond.
</i><br>
<br>
<i>We are looking for candidates who
</i></p><ul><li><p><i>Has exceptional engineering skills.
</i></p></li><li><p><i>Has deep ML knowledge with meaningful implementation track records.
</i></p></li><li><p><i>Prioritize deep and strategic thinking.
</i></p></li><li><p><i>Has dedication, patience and resilience to build exceptional product experience.
</i></p></li><li><p><i>Collaborative and win with teams.
</i></p></li><li><p><i>Proactive and bias to action, comfortable in fast-pacing environment.
</i></p></li><li><p><i>Competitive coding winner (ACM-ICPC, etc).
</i></p></li><li><p><i>Startup founders in agentic AI, LLM, area (e.g., YC backed startup)
</i></p></li><li><p><i>Programming &amp; Systems:
</i></p></li><li><p><i>Strong proficiency in Python; solid experience with C++ and/or Java
</i></p></li><li><p><i>Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
</i></p></li><li><p><i>Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
</i></p></li><li><p><i>Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
</i></p></li><li><p><i>Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
</i></p></li><li><p><i>Strong software engineering fundamentals (data structures, algorithms, system design)
</i></p></li><li><p><i>Experience building production-quality systems
</i></p></li><li><p><i>Agentic / LLM Systems
</i></p></li><li><p><i>Practical experience with LLMs and agentic workflows (tool use, planning, memory, multi-step reasoning)
</i></p></li><li><p><i>Experience building end-to-end AI agents or complex AI-driven applications
</i></p></li><li><p><i>Familiarity with prompting, orchestration, and evaluation for LLM-based systems
</i></p></li><li><p><i>Machine Learning &amp; AI
</i></p></li><li><p><i>Hands-on experience with deep learning frameworks
</i></p></li><li><p><i>Strong understanding of ML fundamentals
</i></p></li><li><p><i>Experience implementing and debugging model training, evaluation, and inference pipelines
</i></p></li><li><p><i>Infrastructure &amp; Deployment
</i></p></li><li><p><i>Experience deploying ML systems using Docker and cloud platforms (AWS, GCP, or Azure)
</i></p></li><li><p><i>Familiarity with distributed training or inference and performance optimization
</i></p></li><li><p><i>A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
</i></p></li><li><p><i>Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
</i></p></li><li><p><i>Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
</i></p></li></ul></div></div></div></div></div></div></div></div></div><p></p><p>Unleash Your Potential
</p><p>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 <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. 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.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>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.
</p><p></p><p>Posting Statement
</p><p>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.
</p><p></p>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.
<p></p>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 $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 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><p></p>

Senior Member of Technical Staff - AI Research

Procore Technologies

<div>
 <strong>
  Job Ad
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for a
 <strong>
  Senior Software Engineer - Agentic Foundation
 </strong>
 to join Procore&rsquo;s Product &amp; Technology team. In this role, you&rsquo;ll build and operate the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. The primary goal of this role is to treat AI adoption as an internal product, empowering engineering teams to achieve high velocity without compromising on quality in this critical functional domain.
 <br/>
 <br/>
 As a Senior Software Engineer - Agentic Foundation, you&rsquo;ll partner with engineering, product, product design, data, security, and business systems teams to design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle. Use your backend systems depth, DevOps instincts, and hands-on AI workflow expertise to accelerate developer productivity and shape the agentic future of construction software. Shape the cutting-edge future of AI-driven developer platforms &mdash; join us today!
 <br/>
 <br/>
 This position reports into a Senior Manager, Software Engineering and will be based in our Cairo, Egypt office. We&rsquo;re looking for someone to join us immediately.
 <br/>
 <br/>
 <strong>
  What you&rsquo;ll do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction.
  </li>
  <li>
   Design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle &mdash; from code generation and review to test orchestration and deployment.
  </li>
  <li>
   Build the feedback loop between AI tool usage and engineering outcomes by instrumenting how agentic workflows impact cycle time, change failure rate, and developer throughput.
  </li>
  <li>
   Evaluate and integrate AI tools and frameworks into Procore's supported agentic tooling suite, making build-vs-buy decisions grounded in real usage and team feedback.
  </li>
  <li>
   Vet community-built skills and tools contributed by engineers across the organization, define evaluation criteria, and promote successful solutions into the officially supported tooling suite.
  </li>
  <li>
   Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
  </li>
  <li>
   Master generative tools and agentic workflows to actively build the automated future of construction software.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What we&rsquo;re looking for:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, a related technical field, or equivalent practical experience.
  </li>
  <li>
   Strong technical fundamentals in at least one of the following: Ruby on Rails, Python, or TypeScript, alongside comfort reading and contributing across multiple languages.
  </li>
  <li>
   Hands-on experience with AI coding tools (e.g., Claude, Cursor, Copilot) and building or customizing AI-assisted workflows (e.g., prompt engineering, MCP integrations, evals, or agentic pipelines).
  </li>
  <li>
   Solid DevOps instincts regarding deployment strategies, rollback mechanisms, feature flags, Kubernetes service operation, and CI/CD pipeline management.
  </li>
  <li>
   Adaptable and experimental characteristic mindset with the ability to explore uncharted territory, evaluate fast-moving AI technologies critically, and distinguish proven solutions from trends.
  </li>
  <li>
   Experience building or integrating AI-native developer tooling, LLM evaluation frameworks, or AI/LLM Gateways (such as MCPs or MCP Gateways) is highly preferred.
  </li>
  <li>
   Familiarity with how AI Agents and LLMs work under the hood, or previous experience working within Developer Platform, DevOps, or Developer Experience teams is a plus.
  </li>
 </ul>
</div>


Senior Software Engineer, Agentic Foundation

Confidential

<p><strong>Role: : QA Engineer</strong></p><p><strong>Location: Remote</strong></p><p><strong>Duration: Long Term Contract</strong></p><p><strong> </strong></p><p><strong>Job Description:</strong></p><p><strong>Overview:</strong></p><p><strong>We are seeking a skilled  Quality Assurance (QA) Engineer with 3–7 years of experience in testing, QA, and reporting within the dynamic fields of Conversational AI and Agentic AI/LLMs. The ideal candidate will be passionate about ensuring the quality of cutting-edge AI systems, with a particular focus on conversational platforms, intelligent agents, and large language models (LLMs). </strong></p><p><strong> </strong></p><p><strong>Mandatory Skills-</strong></p><p>Experience into any Manual and Automation testing.</p><p>Experience into Conversational AI/ Chatbot.</p><p>Experience into either Agentic AI or LLM (any one)</p><p><strong> </strong></p><p><strong>Key Responsibilities:</strong></p><p>Develop and execute test cases, scripts, and procedures for both Conversational AI applications and Agentic AI/LLM systems. </p><p>Collaborate with product managers, developers, and stakeholders to maintain quality standards throughout the product lifecycle. </p><p>Conduct functional, regression, integration, and performance testing on Conversational AI platforms, agentic AI frameworks, and LLM-based solutions. </p><p>Identify, document, and track defects using JIRA, providing detailed insights and reports on testing outcomes. </p><p>Analyze business and technical requirements to design test strategies tailored to Conversational AI and Agentic AI/LLM use cases. </p><p>Evaluate the usability, effectiveness, and scalability of AI-driven applications, offering actionable feedback. </p><p>Generate comprehensive test reports and summaries for stakeholders, highlighting key findings and recommendations. </p><p>Continuously improve QA methodologies to meet the evolving demands of Conversational AI and Agentic AI technologies. </p><p><strong> </strong></p><p><strong>Required Qualifications:</strong></p><p>3–7 years of experience in software testing and quality assurance, with expertise in Conversational AI and Agentic AI/LLMs. </p><p>Strong understanding of standard testing practices, methodologies, and tools for AI applications. </p><p>Hands-on experience with JIRA for defect tracking and project management. </p><p>Proficiency in Excel for data analysis and reporting. </p><p>Knowledge of functional and non-functional testing, including performance and security testing. </p><p>In-depth familiarity with LLMs, agentic AI systems, and conversational technologies. </p><p>Proven ability to work effectively in cross-functional teams within fast-paced environments. </p><p>Excellent problem-solving and analytical skills. </p><p><strong> </strong></p><p><strong>Desired Qualifications: </strong></p><p>Experience with automated testing tools and scripting languages. </p><p>Exposure to natural language processing (NLP) testing and validation of intelligent agents. </p><p>Familiarity with version control systems. </p><p><strong> </strong></p><p><strong>Personal Attributes:</strong></p><p>Exceptional attention to detail and a strong commitment to quality. </p><p>Excellent communication skills, both written and verbal. </p><p>Self-driven and motivated to innovate within the AI domain. </p><p>Ability to prioritize and manage multiple tasks in a dynamic, fast-evolving environment</p>

QA Engineer

pointer infotech L.L.C

<p><b>Overview</b></p><p>Join our innovative team as an AI Engineer and be at the forefront of developing cutting-edge artificial intelligence solutions that transform data into actionable insights. In this dynamic role, you will design, implement, and optimize AI models and machine learning frameworks to solve complex problems across various domains. Your expertise will drive the deployment of scalable AI systems, leveraging big data technologies and cloud services to deliver impactful results. This position offers an exciting opportunity to work with advanced tools and methodologies in a collaborative environment dedicated to pushing the boundaries of AI innovation.</p><p><b>Responsibilities</b></p><ul><li><b>Job Summary:</b></li><li>We are looking for an experienced AI Engineer / Senior AI Architect with strong expertise in Agentic AI, Conversational AI, and AI solution development. The ideal candidate will have hands-on experience building AI solutions across Microsoft and Google ecosystems.Key Skills &amp; Responsibilities:Develop Agentic AI solutions, conversational agents, and virtual assistants.Hands-on experience with Microsoft Foundry and Azure AI services.Experience with Azure AI Search, Azure AI Language, Power Platform, and Copilot Studio.Develop AI conversational solutions using Google Dialogflow CX, Google Conversational Agents, and Google CCAI Services.Build and integrate APIs and web services with AI applications.Experience with NLP, Generative AI, LLMs, and AI/ML.Develop and maintain SharePoint Online solutions using Microsoft Power Platform.Train, deploy, monitor, and optimize AI models.Create Looker dashboards for monitoring AI agent performance.Strong programming skills in C#, .NET, JavaScript, or Python.Ensure AI solutions follow security, privacy, governance, and responsible AI practices.Collaborate with business SMEs and cross-functional technical teams.Lead AI Proof of Concept (POC) initiatives and present AI solutions to stakeholders.Required Experience:5+ years of IT experience.2+ years of AI Conversational Agent implementation experience.1+ year of Power Platform experience.Mandatory: Agentic AI development using Microsoft Foundry.Mandatory: SharePoint Online + Microsoft Power Platform.Mandatory: Google Conversational Agents / Dialogflow CX / Google CCAI Services.Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.*</li><li>No Visa sponsorship is available this time</li></ul><p>Pay: $65.00 - $70.00 per hour</p><p>Work Location: In person</p>

AI Engineer

Coforge

AI Engineer -Practitioners who build and deploy AI models and agentic workflows in production, including prompt engineering, fine-tuning, RAG pipelines, and AI-infused application development. These individuals design, develop, customize, and implement AI solutions for others to use. Technology - Java, Frontend and QE (Playwright).
<br>We are seeking an experiencedAI Engineer to design, develop, and deploy AI-powered applications and agentic workflows into production environments. The ideal candidate will have hands-on expertise in building AI solutions using Large Language Models (LLMs), Retrieval Augmented Generation (RAG), prompt engineering, AI orchestration frameworks, and modern application development practices.
<br>This role requires a combination ofAI engineering, Java development, Frontend development, and Quality Engineering (Playwright) to deliver scalable, reliable, and enterprise-grade AI solutions.
<br><br>
Key Responsibilities
<br><br>
AI Solution Development
<br><br>
<ul>
<li>Design, develop, and deploy AI-powered applications using modern LLM technologies.</li>
<li>Build and implement agentic workflows leveraging AI agents, orchestration frameworks, and automation platforms.</li>
<li>Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.</li>
<li>Perform prompt engineering, prompt optimization, and model evaluation to improve AI solution accuracy and reliability.</li>
<li>Fine-tune foundation models where applicable to meet business-specific requirements.</li>
<li>Integrate AI capabilities into existing enterprise applications and platforms.</li>
<li>Monitor, optimize, and maintain AI systems in production environments.</li>
</ul>
Application Development
<br><br>
<ul>
<li>Develop backend services and APIs using Java-based frameworks.</li>
<li>Build responsive and scalable frontend applications to deliver AI-driven user experiences.</li>
<li>Collaborate with architects, product owners, and business stakeholders to translate requirements into technical solutions.</li>
<li>Implement integrations with internal and external systems through APIs and microservices.</li>
</ul>
Quality Engineering Testing
<br><br>
<ul>
<li>Develop automated test strategies for AI-enabled applications.</li>
<li>Design and execute UI and API automation using Playwright.</li>
<li>Validate AI outputs through functional, regression, and performance testing.</li>
<li>Establish test frameworks and quality gates for AI solutions deployed in production.</li>
<li>Ensure security, performance, and reliability standards are met.</li>
</ul>
Collaboration Innovation
<br><br>
<ul>
<li>Work closely with AI Architects, Data Scientists, Product Teams, and Business SMEs.</li>
<li>Stay current with emerging AI technologies, frameworks, and industry best practices.</li>
<li>Contribute to AI governance, responsible AI practices, and solution documentation.</li>
</ul>
Required Skills
<br><br>
AI GenAI
<br><br>
<ul>
<li>Prompt Engineering</li>
<li>Large Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini, etc.)</li>
<li>Agentic AI Frameworks</li>
<li>Retrieval-Augmented Generation (RAG)</li>
<li>Vector Databases</li>
<li>Model Evaluation and Optimization</li>
<li>Fine-tuning Concepts</li>
<li>AI Application Development</li>
<li>AI Orchestration Frameworks (LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, etc.)</li>
</ul>
Backend Development
<br><br>
<ul>
<li>Java 8+/11+/17+</li>
<li>Spring Boot</li>
<li>REST APIs Microservices Architecture</li>
<li>API Integration</li>
</ul>
Frontend Development
<br><br>
<ul>
<li>React.js / Angular / Modern JavaScript Frameworks</li>
<li>HTML5, CSS3, JavaScript, TypeScript</li>
</ul>
Quality Engineering
<br><br>
<ul>
<li>Playwright Automation</li>
<li>API Testing</li>
<li>Test Automation Framework Design</li>
<li>Functional Regression Testing</li>
<li>CI/CD Testing Practices</li>
</ul>
Cloud DevOps
<br><br>
<ul>
<li>Azure / AWS / GCP</li>
<li>Docker Kubernetes</li>
<li>CI/CD Pipelines</li>
<li>Git, GitHub, Azure DevOps</li>
</ul>


Envision Employment Solutions

<div><p><b>Envision Employment Solutions</b> is currently looking for a<b> Senior Data Scientist - AI &amp; ML Engineer </b>for one of our partners, a global leader in <b>consulting, digital transformation, technology and engineering services!</b></p><p></p><p><b>
About:</b></p><p>
The <b>Senior Data Scientist - AI &amp; ML Engineer </b>will be responsible for delivering end-to-end machine learning solutions, designing scalable AI architectures, and developing Agentic AI applications that drive intelligent automation and business value.</p><p></p><p><b>
Responsibilities:</b></p><p><b>
AI &amp; Machine Learning Development</b></p><ul><li>
Design, develop, and deploy AI and machine learning solutions that address business needs.
</li><li>Build and implement Agentic AI applications using modern AI frameworks.
</li><li>Lead the full machine learning lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
</li><li>Optimize models to improve accuracy, scalability, and performance in production environments.
</li><li>Implement model monitoring, drift detection, and retraining strategies.
</li></ul><p><b>Data Engineering &amp; MLOps</b></p><ul><li>
Design scalable data pipelines to support machine learning workloads.
</li><li>Collaborate with data engineers to ensure reliable data ingestion, transformation, and storage.
</li><li>Develop and maintain ML-focused CI/CD pipelines.
</li><li>Implement model versioning, automated testing, and deployment best practices.
</li><li>Support containerized and cloud-native ML deployments.
</li></ul><p><b>Cloud &amp; Solution Architecture</b></p><ul><li>
Design AI and ML solutions using cloud platforms such as Azure, AWS, or GCP.
</li><li>Architect scalable infrastructure to support enterprise AI applications.
</li><li>Recommend technology solutions aligned with business and technical requirements.
</li><li>Ensure AI solutions meet security, reliability, and performance standards.
</li></ul><p><b>Collaboration &amp; Leadership</b></p><ul><li>
Partner with business stakeholders to understand objectives and translate them into technical solutions.
</li><li>Collaborate with cross-functional teams throughout the solution lifecycle.
</li><li>Mentor junior data scientists and ML engineers.
</li><li>Promote best practices in machine learning, software engineering, and MLOps.
</li><li>Stay informed about emerging AI technologies and industry trends.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
6-10 years of experience working with complex datasets and solving real-world business problems using AI</li><li>
Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.</li><li>
Strong proficiency in Python, data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.g. LangChain, LangGraph).</li><li>
Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).</li><li>
Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.</li><li>
Skilled in MLOps practices including CI/CD, containerization (e.g. Docker), and orchestration (Kubernetes).</li><li>
Strong command of Git and collaborative development workflows.</li><li>
Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.</li><li>
Fluent in Arabic &amp; English, both spoken and written (German is a plus!)</li><li>
Able to listen to and understand customer needs and articulate them as technical requirements to the team.</li><li>
Strong problem-solving abilities and attention to detail.</li><li>
Strategic thinking with the ability to align data science initiatives with business objectives.</li><li>
Strong leadership and team management skills with the ability to inspire and motivate.</li><li>
Ability to work collaboratively in a team environment.</li><li>
Self-motivated with a strong growth mindset.</li></ul></div>

Senior Data Scientist - AI & ML Engineer

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