principal ai engineer

Finaira

<div>
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives.
 <br/>
 <br/>
 <strong>
  Focus:
 </strong>
 End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
 <br/>
 <br/>
 <strong>
  The difference you will make:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide technical leadership, guidance, and mentorship to a team of AI Engineer
  </li>
  <li>
   Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
  </li>
  <li>
   Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
  </li>
  <li>
   Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
  </li>
  <li>
   Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
  </li>
  <li>
   Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
  </li>
  <li>
   Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
  </li>
  <li>
   Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
  </li>
  <li>
   Act as a primary technical point of contact for stakeholders regarding AI solutions
  </li>
  <li>
   Hands-on contribution to critical code components, architectural design, and complex problem-solving
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  What you will bring to the role:
  <br/>
  <br/>
 </strong>
 <strong>
  Education:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras)
  </li>
  <li>
   Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving
  </li>
  <li>
   In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes)
  </li>
  <li>
   Strong architectural skills for building robust, scalable, and maintainable AI infrastructures
  </li>
  <li>
   Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services
  </li>
  <li>
   Excellent understanding of data engineering principles, data governance, and database technologies
  </li>
  <li>
   Ability to evaluate and make sound technical decisions on complex trade-offs
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership
  </li>
  <li>
   Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives
  </li>
  <li>
   Strong mentoring and coaching skills, with a passion for developing the talents of junior team members
  </li>
  <li>
   Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships
   <br/>
   <br/>
  </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>


Principal AI Engineer

Vizzwebsolutions Pvt Ltd

<p><b>Role Overview</b></p><p>We are seeking a highly qualified Principal AI Engineer to own and architect our core intelligence and AI processing pipelines. You will be the technical authority on how we integrate, scale, and optimize artificial intelligence across our entire platform.This is not a prompt-jockey or wrapper-developer role. You will be responsible for architecting end-to-end, multi-modal solutions that push the boundaries of what is possible with applied AI. You will design agentic workflows, build complex user profiling systems to dynamically augment LLM context windows, and create proprietary intelligence layers that serve as competitive moat.</p><p><b>Key Responsibilities</b></p><p>● End-to-End AI Architecture: Design, build, and deploy production-grade AI systems, moving from idea inception to scalable AWS infrastructure. Bridge the gap between AI research and highly reliable software engineering.</p><p>● Agentic &amp; Multi-Modal AI: Architect and implement autonomous, multi-agent systems that can reason, plan, use tools, and execute complex workflows across text, image, and data modalities.</p><p>● Custom Intelligence &amp; Deep Context: Build sophisticated user profiling mechanisms and advanced RAG (Retrieval-Augmented Generation) pipelines to dynamically inject hyper-personalized context into foundational models.</p><p>● Advanced Prompt Engineering &amp; Optimization: Lead the organization in</p><p>state-of-the-art prompt design, few-shot prompting, chain-of-thought reasoning, and structured output generation.</p><p>● Cost &amp; Performance Optimization: Implement intelligent model routing, caching strategies, and token management to ruthlessly optimize inference costs, system latency,and overall API expenditure.</p><p>● Developer Productivity &amp; Platform AI: Build internal tools, CI/CD pipelines for AI</p><p>(LLMOps), and automated evaluation frameworks to accelerate the development lifecycle and empower the broader engineering team to safely leverage AI.</p><p>● Cross-Functional Leadership: Serve as the technical visionary for AI , mentoring full-stack and front-end developers, and partnering with product leadership to identify novel ways AI can solve business problems.</p><p>Ideal Qualifications &amp; Skills</p><p>● Experience: 8-10+ years of software engineering experience, with at least 3-5 years explicitly focused on applied Machine Learning, NLP, or Generative AI in production environments.</p><p>● Core Stack: Expert-level proficiency in Python and Node.js/TypeScript.</p><p>● AI &amp; LLM Ecosystem: Deep hands-on experience with modern AI orchestration frameworks and integrating with frontier models (OpenAI, Anthropic, open-source equivalents).</p><p>● Data &amp; Retrieval: Strong expertise in vector databases, embedding strategies, semantic search, and knowledge graph integration.</p><p>● Cloud &amp; Infrastructure: Proven track record of designing scalable, distributed systems on AWS. Experience with containerization and serverless architectures.</p><p>● LLMOps &amp; Evaluation: Experience building evaluation pipelines to measure AI accuracy, hallucination rates, and performance. Familiarity with AI observability and monitoring tools.</p><p>● Vision: A passion for building novel AI solutions and a pragmatic approach to balancing cutting-edge research with maintainable, production-ready code.</p><ul><li><i><b>We Offer:</b></i></li><li><i>Competitive salary package.</i></li><li><i>Friendly and collaborative work environment.</i></li><li><i>Growth and learning opportunities in a dynamic IT company.</i></li><li><i>Job Type: Full-time</i></li><li><i>Performance Bonus</i></li><li><i>Increments</i></li><li><i>Learning Environment</i></li><li><i>CC Fund</i></li><li><i>EOBI</i></li><li><i>Health Insurance</i></li></ul><p><i>For More Details, Contact Us:</i></p><p><i>03115333221/0334-5522981</i></p><p><i>https://www.vizzwebsolutions.com/</i></p><p>Pay: Up to Rs300,000.00 per month</p><p>Work Location: In person</p>

<div><p>The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives.</p><p></p><p><b><br>
Focus:</b> End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship</p><p><b>
The difference you will make:</b></p><ul><li>
Provide technical leadership, guidance, and mentorship to a team of AI Engineer.</li><li>
Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production.</li><li>
Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans.</li><li>
Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing.</li><li>
Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments.</li><li>
Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation.</li><li>
Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency.</li><li>
Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth.</li><li>
Act as a primary technical point of contact for stakeholders regarding AI solutions.</li><li>
Hands-on contribution to critical code components, architectural design, and complex problem-solving.</li></ul><br>
<b>
Requirements</b><p><b><br>
What you will bring to the role:</b></p><p><b>
Education:</b></p><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred.</li></ul><p><b>
Experience:</b></p><ul><li>
8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end.</li></ul><p><b>
Technical Skills:</b></p><ul><li>
Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).</li><li>
Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving.</li></ul><ul><li>
In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes).</li><li>
Strong architectural skills for building robust, scalable, and maintainable AI infrastructures.</li><li>
Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services.</li><li>
Excellent understanding of data engineering principles, data governance, and database technologies.</li><li>
Ability to evaluate and make sound technical decisions on complex trade-offs.</li></ul><p><b>
Soft Skills:</b></p><ul><li>
Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership.</li><li>
Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives.</li><li>
Strong mentoring and coaching skills, with a passion for developing the talents of junior team members.</li><li>
Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships.</li></ul><p></p><p>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</p></div>

DataCamp

<div><p><b>About DataCamp</b></p>
<p>
DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over<b> 17 million learners</b> and<b> 6,000+ companies</b>, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.</p>
<p><b>
About the role</b></p>
<p>
Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction&mdash;a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.</p>
<p>
We're building an AI Creator that turns learning into action&mdash;empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. <b>If you're excited about building the future of human learning, this role is for you.</b></p>
<p><b>
About you</b></p>
<p>
At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets&mdash;you aim to understand the &quot;why&quot; behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!</p>
<p><b>
Responsibilities</b></p>
<ul>
<li><b>Build and evolve the core AI tutoring system</b>, including prompt architectures, agentic workflows, and real-time adaptive behaviors.</li>
<li><b>Run rigorous experimentation and evaluation</b>, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.</li>
<li><b>Design and implement scalable, maintainable software</b>, integrating AI capabilities with platform systems, content pipelines, and user experience components.</li>
<li><b>Collaborate cross-functionally</b> with educators, content creators, and product teams to translate pedagogical goals into technical solutions.</li>
<li><b>Prototype and productionize novel model interactions</b>, leveraging emerging research and capabilities to advance the tutor's intelligence.</li>
<li><b>Ensure quality, safety, and observability</b> through monitoring, testing, guardrails, and iterative refinement of model behavior.</li>
<li><b>Share knowledge and elevate teammates</b>, contributing to a culture of clarity, simplicity, and continuous learning.</li>
</ul>
<p><b>Qualifications</b></p>
<h3 class="jobSectionHeader"><b>
Technical</b></h3>
<ul><li>1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.</li>
<li>Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.</li>
<li>Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.</li>
<li>Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.</li>
</ul><h3 class="jobSectionHeader"><b>Product &amp; Pedagogy</b></h3>
<ul><li>Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.</li>
<li>Ability to reason holistically across AI behavior, content structure, platform features, and user experience.</li>
<li>Familiarity with learning science or a desire to develop expertise.</li>
</ul><h3 class="jobSectionHeader"><b>Character &amp; Collaboration</b></h3>
<ul><li>Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.</li>
<li>Preference for elegance and simplicity in system design.</li>
<li>Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.</li>
</ul>
<p><b>Why Datacamp?</b></p>
<p>
Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:</p>
<ul>
<li>Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.</li>
<li>Competitive compensation: We offer a competitive salary with attractive benefits.</li>
<li>Flexibility: Benefit from flexible working hours because the future is flexible!</li>
<li>Continuous learning: Access a yearly learning budget for conferences &amp; training to support your professional growth.</li>
<li>Global retreats: Participate in international company retreats, fostering a global team spirit.</li>
<li>Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.</li>
<li>Amazing team: Collaborate with a truly exceptional team&mdash;seriously, we're awesome!</li></ul></div><p></p>

Principal AI Engineer - AI Creator

ImagineArt

<div><h1 class="jobSectionHeader"><b>Principal AI Engineer (LLM Agents &amp; Orchestration)</b></h1><p><b><br>
Role Title:</b> Principal AI Engineer (LLM Agents &amp; Orchestration) <b>Team:</b> Chatly Engineering <b>Focus:</b> Building Autonomous &quot;Super Agents&quot;</p><h2 class="jobSectionHeader"><b><br>
Who We Are</b></h2><p>
Vyro is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.</p><p>
With a global user base of over 5 million active creators every month, Vyro&rsquo;s 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.</p><p>
From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.</p><p>
At Vyro, we&rsquo;re a team of innovators, builders, and dreamers &mdash; known as Vyronauts &mdash; driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.</p><h3 class="jobSectionHeader"><b>
If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be.</b></h3><h3 class="jobSectionHeader"><br>
<b>
About the Role</b></h3><p>
We are looking for a deep expert in Large Language Models (LLMs) to lead the architectural development of our new &quot;Super Agent&quot; within Chatly. You will move beyond simple chat interfaces to build autonomous agents capable of complex reasoning, tool usage, and seamless integration with external workflows.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><p><b>
Agent Architecture:</b> Design and implement stateful agentic workflows (using frameworks like LangGraph or custom Python/TypeScript solutions) that can plan, execute, and self-correct.</p></li><li><p><b>
Integration Ecosystem:</b> Build the &quot;hands&quot; of the agent. Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably.</p></li><li><p><b>
Latency &amp; Reliability:</b> Optimize inference pipelines for speed (streaming, token optimization) and reliability (handling hallucinations, structured output validation).</p></li><li><p><b>
Memory Systems:</b> Architect advanced RAG (Retrieval-Augmented Generation) systems to give the Super Agent persistent memory and context awareness across sessions.</p></li><li><p><b>
Evaluation &amp; Observability:</b> Establish a rigorous testing framework for non-deterministic model outputs to ensure the agent behaves as expected in production.</p></li></ul><h3 class="jobSectionHeader"><b>
Technical Requirements</b></h3><ul><li><p><b>
Core Stack:</b> Deep proficiency in Python (or TypeScript) and the modern AI stack (LangChain, LlamaIndex, DSPy).</p></li><li><p><b>
Model Internals:</b> Strong grasp of how to leverage specific model strengths (e.g., GPT-4o for reasoning, Haiku/Flash for speed) and experience with <b>Function Calling/Tool Use</b>.</p></li><li><p><b>
Vector Search:</b> Hands-on experience with vector databases (Pinecone, Milvus, Weaviate) and embedding strategies.</p></li><li><p><b>
System Design:</b> Experience designing event-driven architectures where agents respond to triggers, not just user prompts.</p></li></ul><p><b>
Why Join Us?</b></p><ul><li><p>
Opportunity to work on innovative AI products like <b>Chatly</b> and <b>Imagine</b>, shaping the future of creativity and user interaction.</p></li><li><p>
Be part of a passionate, fast-moving team that values innovation and data-driven decisions.</p></li><li><p>
Competitive compensation and benefits.</p></li><li><p>
A culture where learning, growth, and experimenting with new ideas are deeply encouraged.</p></li></ul></div><p></p>

Agentic AI Engineer

General Dynamics Information Technology

<p></p><div><div><div><p>Your Impact</p><p>
Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.</p><p>
Job Description</p><div><p>
Own your opportunity to shape the future of AI at GDIT<br>
As an AI Engineer supporting the mission of the United States Postal Service (USPS), you will help design, develop, and deploy AI solutions that modernize and optimize essential nationwide operations. Your work will directly contribute to improved efficiency, automated processes, and data‑driven decision making across a high‑impact federal environment.</p><p></p><p>
MEANINGFUL WORK AND PERSONAL IMPACT<br>
As an AI Engineer, you will play a critical role in identifying where AI can streamline business processes and deliver measurable outcomes. You will:</p><ul><li>
Develop and advance AI capabilities across USPS business functions.</li><li>
Build tools that automate requirements and test case generation using technologies such as Visual Studio Code, Python, Microsoft Copilot, CrewAI, and other USPS‑approved platforms.</li><li>
Integrate AI solutions with existing automation frameworks to reduce manual effort and enhance quality.</li><li>
Evaluate opportunities to embed AI across enterprise workflows and design solutions aligned with mission needs.</li><li>
Collaborate with cross‑functional teams and communicate technical concepts to both technical and non‑technical stakeholders.</li><li>
Ensure all AI solutions meet USPS security, compliance, and execution requirements.</li><li>
Train designated team members to maintain and operate AI‑driven tools and scripts.</li></ul><p>
WHAT YOU&rsquo;LL NEED TO SUCCEED</p><p>
Education</p><ul><li>
Bachelor&rsquo;s degree in a related field with strong mathematics</li><li>
OR an additional four years of relevant professional experience in lieu of a degree.</li></ul><p>
Required Experience<br>
Candidates will be evaluated for one of the following levels:</p><ul><li>
Associate AI Engineer: 1&ndash;2 years of experience developing AI or automation solutions.</li><li>
Senior AI Engineer: 3&ndash;7 years of hands‑on AI development experience.</li><li>
Principal AI Engineer: 8+ years of experience leading or delivering AI, automation, or software development projects.</li></ul><p>
Additional expectations for all levels:</p><ul><li>
Proven experience contributing to or leading AI/automation initiatives.</li><li>
Experience working in analytics, data‑driven environments, or team leadership roles is highly desirable.</li><li>
Strong agentic AI experience, including familiarity with agent frameworks, orchestration tools, and automation workflows.</li><li>
Experience working across the infrastructure plane to ensure AI systems operate reliably within enterprise environments.</li><li>
Strong mathematical foundation in algebra, statistics, calculus, or related fields applied to AI/ML model development.</li><li>
Hands‑on experience developing, training, and evaluating AI or ML models.</li><li>
Experience performing optimization to improve model performance, scalability, or efficiency.</li><li>
Practical experience applying machine learning methods to real‑world business or operational challenges.</li></ul><p>
Required Technical Skills</p><ul><li>
Proficiency in building AI solutions using Python, Visual Studio Code, and relevant programming or scripting languages.</li><li>
Strong understanding of generative AI, LLM integration, and modern AI frameworks.</li><li>
Ability to develop AI‑driven tools that convert business user stories into technical requirements.</li><li>
Experience integrating AI capabilities into existing enterprise automation frameworks.</li><li>
Ability to deliver AI scripts and programs that run reliably on USPS‑approved environments.</li><li>
Capability to document, train, and transition AI tools to operational teams.</li></ul><p>
Preferred Skills</p><ul><li>
Strong analytical and problem‑solving skills with a creative approach to complex technical challenges.</li><li>
Excellent communication skills with the ability to explain sophisticated AI concepts to non‑technical stakeholders.</li><li>
Demonstrated ability to work in a collaborative, cross‑functional team environment.</li><li>
Familiarity with Agile methodologies, cloud platforms, or enterprise‑scale AI deployments is a plus.</li></ul><p>
Security Clearance Level:</p><ul><li>
Ability to obtain and maintain a Public Trust clearance and successfully pass a thorough Government background screening process requiring the completion of detailed forms and fingerprinting</li><li>
This position has a U.S. residency requirement. The USPS security clearance process requires the selected candidate to have resided in the U.S. (including U.S. Territories) for the last five years as follows: U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 6 months consecutively in the last 3 years (unless they meet certain exceptions). Non-U.S. Citizens cannot have left the U.S. (including U.S. Territories) for longer than 90 days consecutively in the last 3 years.</li></ul><p>
Location:</p><ul><li>
Remote</li></ul><p>
GDIT IS YOUR PLACE</p><p>
At GDIT, the mission is our purpose, and our people are at the center of everything we do.</p><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, competitive pay and paid time off</li><li>
Community: Award-winning culture of innovation and a military-friendly workplace</li></ul><p>
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.</p><p></p><p>
#zxc726 #AIEngineer</p>
</div></div><div><div><div><p>Work Requirements</p></div></div><div></div><div><div>
Years of Experience<div>
2 + years of related experience</div><ul><li>may vary based on technical training, certification(s), <i>or</i> degree</li></ul></div><div></div><div>
Certification</div><p></p><div>
Travel Required<div>
Less than 10%</div></div></div></div></div><div><p>
Salary and Benefit Information</p><div>
The likely salary range for this position is $111,155 - $150,385. 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.<br>
View information about benefits and our total rewards program.</div><p>
About Our Work</p><div>
We are GDIT. A global technology and professional services company that delivers technology 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 over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div><i>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></div></div></div>

AI Engineer

Zoolatech

<div><div><div><div><div><div><div><div>OVERVIEW</div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>ATRC's Data &amp; AI Office is a product and platform execution team &mdash; not a traditional enterprise data function. We build and operate AI-enabled systems that create measurable operational impact across the organization. Our primary output is working software in production.</p><p><b>
What we are building &mdash; now:</b></p><ul><li><p>
An executive reporting portal serving senior leadership, integrating live data from SAP, Microsoft 365, SuccessFactors, and internal systems across multiple operational views (finance &amp; budget, KPIs, technology portfolio, news, wellbeing, and a personalized executive home)</p></li><li><p>
A sovereign data and AI platform: data warehouse, governed pipelines, metadata catalog, and classification enforcement across all entities</p></li><li><p>
Data mesh architecture with federated ownership &mdash; each entity owns its data products; the platform provides governed access</p></li><li><p>
Data readiness for the organization's agentic AI platform &mdash; clean, structured, governed data so AI agents can operate on trusted sources</p></li><li><p>
Operational AI agents delivering real value on top of the agentic platform (document triage, anomaly detection, automated briefings, classification automation)</p></li><li><p>
AI-enabled situational awareness and crisis management systems</p></li><li><p>
Data governance and classification &mdash; managing an active external vendor engagement, bridging framework deliverables into platform-enforced rules, and building the ongoing</p><p>
governance operations the organization requires</p></li></ul><p><b>
How we work:</b></p><ul><li><p>
Small team, high ownership &mdash; every engineer owns a module end-to-end</p></li><li><p>
Two-week sprints with demonstrated output at every review</p></li><li><p>
Ship and improve &mdash; working systems beat perfect designs</p></li><li><p>
Core team owns all architecture and product decisions; external capacity executes within defined scope</p></li><li><p>
Decisions take hours, not weeks. Daily technical choices are made by the engineer.</p></li><li><p>
Feature scope decisions take 24 hours. Architecture pivots take 48 hours. Nothing sits in limbo.</p></li><li><p>
Oversee 5 other workstreams powered by 3rd party vendors within the ecosystem but whom we are ultimately accountable for</p></li></ul>
</div><div><p>Builds the AI capabilities that operations depend on &mdash; classification automation, production agents, and the data bridge to the agentic platform.</p><p><b>
Mission</b></p><p>
Build, own, and continuously improve the AI capabilities across the office's production systems, working under the direction of the Principal AI Engineer. Your scope: automated data classification (remediating what's currently broken), AI-generated briefings, and operational AI agents that deliver real value in weeks.</p><p>
An external partner is building an agentic platform that ATRC will use. Your role in that relationship: define the data contracts the platform consumes, evaluate the sample agents delivered, and build the production agents on top of the platform that go beyond demonstrations into real operational use. You don't build the platform &mdash; you make sure ATRC's data is ready for it and that what gets built on top of it actually works.</p><p><b>
What This Role Owns</b></p><ul><li><p>
Data classification automation: implementing automated classification to remediate current failures, embedding classification into data pipelines alongside the Governance</p></li><li><p>
Lead Operational AI agents: building production agents on top of the agentic platform &mdash; going beyond the sample agents the external partner delivers into real operational workflows</p></li><li><p>
Agentic platform data contracts: defining what data the platform needs, in what format, with what quality guarantees &mdash; working with the Principal AI Engineer</p></li><li><p>
AI service implementation: FastAPI service around LLM APIs with versioned prompt templates</p></li><li><p>
Classification and briefing prompts: structured prompts returning validated JSON with tags, confidence levels, source attribution</p></li><li><p>
Prompt versioning: templates in configuration, editable without code changes</p></li><li><p>
Observability: every LLM call logged with input hash, model version, output, latency, token count</p></li><li><p>
Fallback logic: graceful degradation when LLM APIs are unavailable</p></li><li><p>
Quality evaluation: running precision/recall evaluations against human reviewer samples, reporting results, iterating prompts</p></li></ul><p><b>
Key Decisions</b></p><ul><li><p>
Prompt implementation &mdash; few-shot examples, output parsing, error handling</p></li><li><p>
Confidence threshold tuning based on evaluation results</p></li><li><p>
Context window packing &mdash; what data fits within token budgets</p></li><li><p>
Fallback behavior when APIs degrade</p></li><li><p>
Agent evaluation &mdash; whether an external partner's sample agent is production-ready or needs rework</p></li><li><p>
Bug triage for AI components &mdash; autonomous fix vs. escalate to Principal AI Engineer</p></li></ul><p><b>
Does Not Do</b></p><ul><li><p>
Define AI architecture or agent design patterns (Principal AI Engineer)</p></li><li><p>
Build the agentic platform itself (external partner)</p></li><li><p>
Build the backend API or data pipelines</p></li><li><p>
Fine-tune or train models</p></li><li><p>
Define governance policies (Governance Lead)</p></li></ul><p><b>
Ideal Candidate</b></p><p>
Has shipped an LLM-based feature that non-technical users depend on daily &mdash; and has been responsible when it breaks. Knows the hardest part of applied AI is the fallback, the observability, and the human review loop &mdash; not the prompt. Can evaluate someone else's agent demo and quickly identify whether it's production-ready or held together with string. Works well under a senior AI lead &mdash; takes architectural direction and executes with high quality and speed. Not attached to a particular model &mdash; the job is reliable output.</p>
</div><div><ul><li><p>LLM APIs (Claude, GPT-4, open-weight models) &mdash; structured output, JSON mode, system prompts</p></li><li><p>
Prompt engineering for classification &mdash; zero-shot and few-shot</p></li><li><p>
Python &mdash; async API calls, retry logic, exponential backoff</p></li><li><p>
LLM evaluation &mdash; precision/recall, human-AI agreement scoring</p></li><li><p>
Structured output &mdash; JSON schema enforcement, Pydantic validation</p></li><li><p>
Open-weight / sovereign model APIs (Falcon, Llama, or equivalent)</p></li><li><p>
Token budgeting and context window management</p></li><li><p>
AI observability &mdash; output quality monitoring, anomaly detection</p></li><li><p>
FastAPI and Docker</p></li></ul>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>Python
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

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