ai platform engineer

Deeplight

<div><p>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.</p><p>
The AI Platform Engineer helps design, build and maintain the on-premises AI Infrastructure for our client, a market leader in the environment sector. The engineer plays a key role in enabling large-scale machine learning and generative AI workloads by developing robust, scalable, and secure platform solutions that support data scientists and ML engineers across the organisation.</p><p>
The role requires deep <b>Kubernetes and infrastructure automation experience</b> to optimise performance, streamline deployments, and ensure reliability in an on-prem environment.</p><p><b>
Requirements</b></p><p></p><ul>
<li>
Design, deploy, and manage on-premises Kubernetes clusters for AI and ML workloads.</li>
<li>Develop and maintain infrastructure-as-code using tools like Terraform, Helm, or Ansible</li>
<li>Build and optimise AI/ML pipelines and MLOps workflows for model training, deployment, and monitoring.</li>
<li>Collaborate with data science and engineering teams to deliver high-performance computing environments for large model training and inference.</li>
<li>Implement resource management, observability, and scaling strategies for GPU-based workloads.</li>
<li>Manage containerisation, networking, and storage solutions for AI workloads.</li>
<li>Ensure security, compliance, and reliability of the AI platform.</li>
<li>Automate operational processes and continuously improve platform efficiency.</li>
</ul><p></p><p><b>
What we need from you:</b></p><p></p><ul>
<li>
Proven experience managing Kubernetes clusters on-premises (not just cloud-managed solutions).</li>
<li>Experience working in a Consultancy capacity.</li>
<li>Strong background in container orchestration, CI/CD, and automation.</li>
<li>Proficiency in Linux administration, Docker, and networking fundamentals.</li>
<li>Hands-on experience with infrastructure-as-code (Terraform, Helm, Ansible, etc.).</li>
<li>Experience supporting AI/ML workloads (e.g., TensorFlow, PyTorch, Hugging Face, Ray, Kubeflow).</li>
<li>Familiarity with GPU scheduling and resource management on Kubernetes.</li>
<li>Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK, etc.).</li>
<li>Strong scripting skills (Python, Bash, or Go).</li>
<li>Understanding of DevOps and MLOps best practices.</li>
</ul><p><b>
Benefits</b></p><p><b>
Benefits &amp; Growth Opportunities:</b></p><ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul><p>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</p></div>

AI Platform Engineer

Microsoft

<div></div><div><h1 class="jobSectionHeader"><b>Principal Software Engineer - AI Platform Development (Azure PostgreSQL)</b></h1><div><div><p>
Multiple Locations, T&uuml;rkiye</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Oct 15, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1895153</b></div></div></div><div><div><div>
Work site</div><div><b>
0 days / week in-office - remote</b></div></div></div><div><div><div>
Travel</div><div><b>
0-25</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Software Engineering</b></div></div></div><div><div><div>
Discipline</div><div><b>
Software Engineering</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><div>
Are you passionate about advancing database systems to support the next generation of AI-powered applications? Do you thrive on building deep infrastructure like vector indexing, semantic search, and graph-aware query engines inside a trusted open-source database? Join us as we extend PostgreSQL to natively support AI workloads, combining strong systems engineering with meaningful developer impact.</div><div>
The Azure PostgreSQL team is building advanced, cloud-native capabilities that extend PostgreSQL into a trusted platform for AI workloads. This includes native support for vector search, semantic indexing, graph queries, and in-database model integration. We are looking for a Principal Engineer to lead foundational systems work that enables intelligent applications to run directly inside PostgreSQL with performance, reliability, and scale.</div><div>
This is a high-impact individual contributor role where you will define technical direction, influence platform strategy, and work across teams to build durable, scalable, and production-ready AI-native capabilities into PostgreSQL.</div><p><b>
About the Team</b></p><div>
We are a fast-moving, collaborative team focused on extending PostgreSQL to support AI workloads natively. Our work includes vector indexing, semantic query processing, graph data models, and model-aware execution capabilities, all built directly on top of the PostgreSQL engine. We operate at the intersection of distributed systems, database internals, and AI infrastructure, with a strong emphasis on technical rigor and real-world impact. Our culture values curiosity, deep systems thinking, and inclusive collaboration. We believe the best ideas emerge from engineering craftsmanship, open experimentation, and a shared commitment to excellence.</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div></div><div><div><b><br>
Required Qualifications</b></div><ul><li>
Bachelor&rsquo;s degree in computer science, Engineering, or related technical field AND significant experience in systems-level engineering, including work on database engines, distributed systems, or high-scale infrastructure</li><li>
Proficiency in one or more systems programming languages such as C, C++, or Rust</li><li>
Experience with PostgreSQL or similar engines at the extension, indexing, or query execution level</li><li>
Proven track record of leading design and implementation of complex systems and delivering them to production</li></ul><div></div><div><b><br>
Preferred Qualifications</b></div><ul><li>
Experience implementing vector indexes, ANN search algorithms, or semantic retrieval mechanisms</li><li>
Background in graph data modeling or graph query execution</li><li>
Familiarity with embedding generation, model hosting, or integration of LLMs into data pipelines</li><li>
Prior contributions to open-source databases or AI systems</li><li>
Demonstrated technical leadership, mentorship, and a collaborative, cross-functional mindset.</li><li>
Commitment to continuous learning, innovation, and building an inclusive, high-performing engineering culture.</li></ul></div></div></div><div></div><div><div><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><div><div><b>
Responsibilities</b></div><ul><li>
Design and lead the development of core AI capabilities in PostgreSQL including vector indexing, approximate nearest neighbor search, semantic query operators, and graph-native features</li><li>
Architect in-database support for embedding pipelines and model integration to enable retrieval, reasoning, and inference</li><li>
Lead system-level design efforts that span the PostgreSQL engine, extension frameworks, storage abstractions, and control plane surfaces</li><li>
Collaborate with product managers, applied AI researchers, and platform teams to define use cases and translate them into scalable and intuitive capabilities</li><li>
Contribute to production-grade implementation of complex systems, ensuring performance, reliability, and operability</li><li>
Set technical direction and engineering quality standards through code and design reviews, prototyping, and mentorship</li><li>
Act as a technical connector across teams, driving alignment on design, extensibility patterns, and developer experience</li><li>
Stay current on trends in vector databases, graph systems, and AI workloads, applying academic and open-source innovation to real-world engineering</li></ul><p></p><p><b><br>
Why Join Us</b></p><ul><li><b>
Impact: </b>Shape how developers build AI-powered applications by evolving one of the world&rsquo;s most trusted open-source databases to support vector search, semantic indexing, graph queries, and model integration.</li><li><b>
Innovation: </b>Work on technically challenging problems at the forefront of databases, distributed systems, and AI infrastructure.</li><li><b>
Growth: </b>Expand your technical leadership, influence platform direction, and build a visible track record of meaningful contributions in a critical area of cloud and AI development.</li><li><b>
Community: </b>Join a team that values deep systems thinking, open collaboration, and inclusive engineering. We care about learning, craftsmanship, and building durable technology that matters.</li></ul></div></div></div></div><div></div><div><div><div>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div></div></div></div><p></p>

Principal Software Engineer - AI Platform Development (Azure PostgreSQL)

Careem

<div><div><p>Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.<br>
Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.</p>
<p><b><i>
We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.</i></b></p></div><div><h3 class="jobSectionHeader"><b>
About the team:</b></h3>
<p>
The AI Acceleration Office builds the intelligence layer that powers Careem&rsquo;s ecosystem, and we are looking for a Senior Software Engineer to drive architecture and development of it. Our mission is to drive competitive value through an Agentic AI Platform, a system that can design, orchestrate, and manage autonomous AI agents across customer and operational journeys.</p>
<h3 class="jobSectionHeader"><b>
About the role:</b></h3>
<p>
As a Senior Software Engineer, you&rsquo;ll lead the architecture and development of the AI Agent Creation and Management Platform, an intelligent layer that enables scalable agent creation, orchestration, lifecycle management, and performance monitoring. You&rsquo;ll work across<b> </b>backend systems, AI infrastructure, and data orchestration, designing abstractions that connect LLMs, context, memory, and state into real-time adaptive agents. This is a hands-on leadership role, you&rsquo;ll design systems, ship code, mentor engineers, and influence Careem&rsquo;s long-term AI platform strategy.</p>
<h3 class="jobSectionHeader"><b>
What you&rsquo;ll do:</b></h3>
<ul>
<li><p>Architect and implement the foundational services for Careem&rsquo;s Agentic AI Platform, covering agent creation APIs, orchestration pipelines, state machines, and monitoring layers.</p>
</li>
<li><p>Design abstractions for multi-agent collaboration, memory persistence, and reasoning cycles integrated.</p>
</li>
<li><p>Build scalable orchestration frameworks (LangGraph, or custom) that coordinate model calls, context injection, and multi-turn workflows across internal and external agents.</p>
</li>
<li><p>Develop observability and governance systems for AI agents: tracing, metrics, auditing, and self-healing.</p>
</li>
<li><p>Integrate LLM-based and retrieval-augmented components into backend services with strict latency, reliability, and compliance requirements.</p>
</li>
<li><p>Work with data scientists and ML engineers to operationalize models (embedding stores, vector databases, evaluation pipelines, model versioning).</p>
</li>
<li><p>Establish standards for agent safety, lifecycle management, and deployment reliability across Careem&rsquo;s product ecosystem.</p>
</li>
<li><p>Mentor engineers and shape platform-wide engineering practices around AI integration and distributed systems design.</p>
</li>
</ul><h3 class="jobSectionHeader"><b>What you&rsquo;ll need:</b></h3>
<ul>
<li><p>6+ years of backend or distributed systems engineering experience, with 2&ndash;3 years in AI/ML infrastructure or LLM-based systems.</p>
</li>
<li><p>Deep hands-on experience in Python and Go, with production experience in building scalable, event-driven architectures.</p>
</li>
<li><p>Expertise in orchestration and distributed compute (Kubernetes).</p>
</li>
<li><p>Experience in building end-to-end event-drive architecture and data pipelines (Kafka, Airflow and Flink)</p>
</li>
<li><p>Familiarity with agentic frameworks (LangGraph, LangChain, AutoGen) and design of multi-agent or RAG systems.</p>
</li>
<li><p>Experience in integrating LLMs and vector stores (FAISS, Pinecone, Weaviate, Milvus) into backend applications.</p>
</li>
<li><p>Solid understanding of model and agent observability, monitoring, and continuous evaluation.</p>
</li>
<li><p>Strong architectural skills, capable of designing systems that balance scalability, cost, and experimentation velocity.</p>
</li>
<li><p>Experience working with data streaming, metrics, and real-time feedback loops.</p>
</li>
<li><p>Growth mindset and bias for ownership, you thrive in high-autonomy, fast-paced, and purpose-driven environments.</p>
</li>
</ul><h3 class="jobSectionHeader"><b>What we&rsquo;ll provide you:</b></h3>
<p>
We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:</p>
<ul>
<li>Work and learn from great minds by joining a community of inspiring colleagues.</li>
<li>Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.</li>
<li>Explore new opportunities to learn and grow every day.</li>
<li>Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)</li>
<li>Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.</li></ul></div></div><p></p>

Senior Software Engineer II - AI Platform

Trimble

<div><div>Business Title: Lead Agentic AI Engineer</div><div>
Job Location(s): Chennai, India (In-Office)<br>
The Team: AECO Segment, Agentic AI Platform Team</div><ul><li><div><br>
At Trimble, we are enabling our customers by leveraging cutting-edge artificial intelligence. We believe that intelligent agents will fundamentally transform how businesses operate. We are building a foundational Agentic AI Platform to power these next-generation applications, and we're looking for passionate, experienced engineers to lead the way.</div><div></div><div>
What you will do<br>
As a Full-Stack Software Engineer on the Agentic AI Platform team, you will be instrumental in building both the backend systems and the frontend interfaces that power our sophisticated AI agents. You will tackle challenging technical problems across the stack, implementing robust backend services, APIs, and scalable infrastructure, as well as developing intuitive user interfaces for internal tools, testing environments, or agent interaction components. You will contribute to the architectural direction, collaborating closely with backend specialists, frontend developers, designers, and AI researchers. This role requires strong software engineering fundamentals across both backend and frontend development, practical experience building scalable systems, and a keen interest or experience in modern AI technologies, especially Large Language Models (LLMs).</div><div></div><div>
1. Full-Stack Development &amp; Implementation:</div><ul><li><div>
Design, implement, test, and deploy robust backend components for the agentic AI platform (APIs, services, orchestration, data persistence) using languages like Python, Typescript, Java, etc. (Python highly relevant).</div></li><li><div>
Design, implement, test, and deploy user-facing features and internal tools using modern frontend technologies, including JavaScript, TypeScript, React, HTML, and CSS.</div></li><li><div>
Develop core libraries, SDKs, and components across the stack to enable efficient development and deployment of AI agents and associated tooling.</div></li><li><div>
Write high-quality, maintainable, and well-tested code for both backend and frontend systems.</div></li><li><div>
Implement and improve monitoring, logging, and alerting across the full stack.</div></li><li><div>
Participate actively in code reviews for both frontend and backend code.</div></li></ul><div></div><div>
2. Technical Design &amp; Contribution:</div><ul><li><div>
Contribute significantly to technical design and architecture discussions, considering both backend and frontend implications for new features and system improvements.</div></li><li><div>
Collaborate with principal engineers, product managers, UX/UI designers, and researchers to refine requirements and translate them into effective full-stack technical solutions.</div></li><li><div>
Evaluate and prototype new technologies, algorithms, and frameworks relevant to agentic AI, platform infrastructure, and frontend development.</div></li><li><div>
Take ownership of the technical implementation for specific features or components spanning the full stack.</div></li></ul><div></div><div>
3. Collaboration &amp; Knowledge Sharing:</div><ul><li><div>
Work closely with teammates and cross-functional partners (Product, Design, Research, other Engineering teams) to deliver cohesive user experiences and robust backend capabilities.</div></li><li><div>
Share knowledge, document designs and processes effectively for both backend and frontend aspects.</div></li><li><div>
May mentor junior engineers on full-stack development practices.</div></li></ul><div></div><div>
4. Operational Excellence:</div><ul><li><div>
Troubleshoot and debug complex issues in production environments, potentially spanning frontend, backend, and infrastructure layers.</div></li><li><div>
Participate in addressing issues across the stack.</div></li><li><div>
Contribute to improving the scalability, performance, security, usability, and cost-effectiveness of the platform and its interfaces.</div></li></ul><div></div><div>
What You Should Bring</div><ul><li><div>
Bachelor's degree in Computer Science, Engineering, or a related field.</div></li><li><div>
5+ years of professional full-stack software development experience.</div></li><li><div>
Strong proficiency in one or more backend programming languages such as Python, Javascript/Typescript or Java (Python highly relevant for the AI domain).</div></li><li><div>
Strong proficiency in frontend technologies including JavaScript, TypeScript, HTML, CSS, and modern frontend frameworks (specifically React).</div></li><li><div>
Experience building developer tools or interfaces for complex technical products (e.g., AI/ML tooling, data platforms).</div></li><li><div>
Hands-on experience with agentic AI concepts/frameworks (e.g., LangChain, LlamaIndex), vector databases (e.g., Pinecone, Weaviate), or RAG techniques.</div></li><li><div>
Experience in computer science fundamentals (data structures, algorithms, operating systems, networking).</div></li><li><div>
Experience building, deploying, and operating backend services and APIs in a cloud environment (AWS, GCP, or Azure).</div></li><li><div>
Experience building and deploying responsive and performant user interfaces.</div></li><li><div>
Experience with system design and architecture, with the ability to contribute to complex design discussions covering the full stack.</div></li><li><div>
Interest in or practical experience with AI/ML concepts, particularly working with or integrating Large Language Models (LLMs).</div></li><li><div>
Experience with software development best practices (testing frameworks for backend and frontend, CI/CD, monitoring, code reviews).</div></li><li><div>
Strong problem-solving skills and attention to detail.</div></li><li><div>
Good communication and collaboration skills, including working with designers.</div></li></ul><div></div><div>
Preferred Qualifications</div><ul><li><div>
Experience building platform or infrastructure-as-a-service components.</div></li><li><div>
Experience with state management libraries (e.g., Redux, Zustand) and frontend build tools (e.g., Webpack, Vite).</div></li><li>
Experience with MLOps practices and tools.</li><li><div>
Experience with containerization (Docker) and orchestration (Kubernetes).</div></li><li><div>
Experience with infrastructure-as-code (e.g., Terraform).</div></li><li><div>
Experience optimizing the performance and scalability of both backend distributed systems and frontend applications.</div></li></ul><div></div><div>
About the Agentic AI Platform Team</div><div>
The Agentic AI Platform Team is a new team. This role will have significant influence on the technical strategy and implementation. The team is currently reporting through Trimble&rsquo;s AECO segment, though we fully expect the Agentic AI Platform services will be leveraged to build AI-powered products across Trimble Construction (AECO + FS).</div><div></div><div>
Trimble&rsquo;s Inclusiveness Commitment</div><div>
We believe in celebrating our differences. That is why our diversity is our strength. To us, that means actively participating in opportunities to be inclusive. Diversity, Equity, and Inclusion have guided our current success while also moving our desire to improve. We actively seek to add members to our community who represent our customers and the places we live and work.</div><div>
We have programs in place to make sure our people are seen, heard, and welcomed and most importantly that they know they belong, no matter who they are or where they are coming from.</div></li></ul><div><br>
How to Apply: Please submit an online application for this position by clicking on the &lsquo;Apply Now&rsquo; button located in this posting.</div><div><br>
Application Deadline: Applications could be accepted until at least 30 days from the posting date.</div><div></div><div>
Join a Values-Driven Team: Belong, Grow, Innovate.</div><div></div><div>
At Trimble, our core values of Belong, Grow, and Innovate aren't just words&mdash;they're the foundation of our culture. We foster an environment where you are seen, heard, and valued (Belong); where you have an opportunity to build a career and drive our collective growth (Grow); and where your innovative ideas shape the future (Innovate). We believe in empowering local teams to create impactful strategies, ensuring our global vision resonates with every individual. Become part of a team where your contributions truly matter.</div><div></div><div><div>
Trimble&rsquo;s Privacy Policy</div></div><div></div><div>
If you need assistance or would like to request an accommodation in connection with the application process, please contact AskPX@px.trimble.com.</div></div>

Agentic Artificial Intelligence Engineer

Dataiku

<div> <p>Dataiku s SaaS, cloud or on-premise deployed platform connects many Data Science technologies. Our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll  work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here. </p> <p>As a Field Engineer, you ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms.</p> <p>This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.</p> <ul> <li>Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations</li> <li>Deploy Dataiku in a large variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem)</li> <li>Automate operation, installation, and monitoring of the Data Science ecosystem components in our infrastructure stack</li> <li>Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers</li> <li>Drive technical success by being a trusted advisor to our customers and our internal account teams </li> </ul> </div>

Field Engineer

OutSystems

<div><p><b>There are NO limits to your career: come shape the future and be part of a truly unique global culture at OutSystems!
</b></p><p></p><h1 class="jobSectionHeader"><b>About This Role
</b></h1><p>As a Lead AI Engineer at OutSystems, you will bridge research innovations and production systems to deploy cutting-edge AI across the full application lifecycle, from design to development and production. You'll work closely with Research Scientists and AI Engineers to transform state-of-the-art models into robust, scalable, and efficient software development experiences. Your expertise will directly impact how developers interact with our platform, making complex development tasks intuitive and accessible.
</p><p>This role is critical in scaling our AI &amp; Data Platform serving as the foundational layer for OutSystems' growing Artificial Intelligence and Machine Learning initiatives. You will play a key part in ensuring our AI &amp; Data platform meets the demanding requirements of AI/ML model training, evaluation, and serving, supporting our goal to deploy cutting-edge AI across the full application lifecycle.
</p><p></p><h1 class="jobSectionHeader"><b>What You Will Lead/Do or Key Responsibilities
</b></h1><ul><li><p>Design of Data/ML/AI systems, cross teams, and in collaboration with multiple stakeholders.
</p></li><li><p>Implementation of OutSystems&rsquo; AI platform and services.
</p></li><li><p>Design and implement highly available, fault-tolerant systems for serving sophisticated AI models, focusing on reliability, efficiency, and best practices.
</p></li><li><p>Deep knowledge of and demonstrated expertise in designing and building a highly scalable data platform for ingesting, processing, storing, and forwarding large amounts of data.
</p></li><li><p>Shape data collection strategies and feedback loops, enabling continuous learning and improvement of our AI capabilities and product offerings.
</p></li><li><p>Guide, mentor, and elevate the technical capabilities of other AI Engineers, fostering best practices in design, implementation, and AI development.
</p></li><li><p>Maintain deep knowledge of the state-of-the-art in AI/ML models, agents, and dev tools, championing the adoption of relevant advancements within the team and company.
</p></li><li><p>Interact and collaborate cross-functionally with different teams to identify opportunities and improve our AI products and data infrastructure.
</p></li><li><p>Work with Product Engineering teams to turn internal and product requirements into sustainable solutions that enable efficient software engineering and system visibility for our clients.
</p></li><li><p>Lead the end-to-end design and development of scalable data platforms and pipelines for ingesting, processing, and storing large-scale data, specifically considering the unique requirements of AI/ML model training, evaluation, feature serving, and inference workloads.
</p></li><li><p>Develop architectural patterns and best practices that align with business and technical goals, focusing on cost efficiency and scalability.
</p></li></ul><p></p><h1 class="jobSectionHeader"><b>Qualifications / What You Need To Succeed:
</b></h1><ul><li><p>Bachelor's and preferably Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field (e.g., Electrical Engineering, Physics, Statistics).
</p></li><li><p>8+ years of hands-on professional experience with 5+ years in SW Engineering and 5+ years in applied AI/ML roles, with a proven track record of delivering impactful products.
</p></li><li><p>Demonstrable experience deploying and managing Large Language Models (LLMs) in production environments
</p></li><li><p>Proven ability in designing, building, and shipping complex, data-intensive, and scalable systems in a real-world setting.
</p></li><li><p>Strong problem-solving skills and programming proficiency, with the ability to architect and implement end-to-end solutions (from data processing and model development to deployment and monitoring). Experience in Python is a must, in C# is valued.
</p></li><li><p>Be creative, ambitious and curious. Be resourceful and innovative.
</p></li></ul><p></p><p><b>The Longer Story:
</b></p><div>OutSystems enables enterprise teams to build AI-powered applications and agents that reduce manual work, streamline internal operations, and accelerate impact. A proven low-code foundation combined with agentic AI and AI app generation capabilities empowers teams to move up to 10x faster with the assurance of security, scalability, and governance built in.
</div><p></p><div>As the future becomes agentic, our customers need us now more than ever. AI has opened the door to extraordinary possibilities&mdash;but inside the enterprise, things are moving fast and feeling chaotic. Some early adopters are making progress in production, but for many, AI tools are sprawling without governance, data isn&rsquo;t ready, and talent isn&rsquo;t there yet. Enterprises are still drowning in application backlogs and struggling with legacy systems. But with the right platform, AI doesn&rsquo;t have to add to the chaos. It can become the breakthrough that brings clarity&mdash;and drives real, enterprise-wide impact. At OutSystems, we&rsquo;ve built that platform, providing the tools necessary for enterprises to overcome these hurdles.
</div><p></p><div>We are looking for passionate, talented, and motivated people to join us in helping our customers build, deploy, and scale apps and agents&mdash;fast, helping them accelerate innovation while enabling secure, governed human-AI collaboration.
</div><p></p><div>OutSystems is a truly global company, with more than 850,000 developer community members, 1,700 employees, more than 500 partners, and thousands of active customers in over 75 countries and across 21 industries. Founded in 2001, OutSystems has offices in the United States, United Kingdom, the Netherlands, Portugal, Germany, the UAE, Japan, Hong Kong, Malaysia, Australia, India, and Singapore, and of course has a thriving, worldwide community of remote employees.
</div><p></p><div>Amongst our customers are some of the world's most recognizable brands across diverse industries&mdash;brands like Toyota, Heineken, Bosch, KeyBank, and UCLA. These customers are the reason we have a 4.6 star rating on G2. Their success is ours, and their stories demonstrate tangible ROI and transformational impact. We are a 9x Gartner Magic Quadrant Leader for Low-Code Application Platforms and a multi-year leader in the Forrester Wave. We&rsquo;re recognized not just as leaders but as visionaries with a strong ability to execute, now extending our leadership into the AI and agentic application development arena.
</div><p></p><p><b>Working at OutSystems
</b></p><p>Our goal is to ensure that OutSystems is a place for bright, happy, and motivated people who share a common purpose and take pride in doing excellent work to pursue our vision of providing the AI-powered low-code development platform enterprise leaders trust to build, secure, and evolve their business applications, agents, and core systems. Our culture is focused on our core values of trust, customer success, innovation, and alignment. Our team members operate with transparency, integrity, and accountability, define success through the lens of the outcomes we deliver for our customers, push the boundaries with excellence, and work together toward our shared vision to deliver on what matters most.
</p><p></p><p><b>What do we have to offer you?
</b></p><ul><li><p>A company that is always growing, changing, and innovating. We challenge each other to innovate in our products, in our team, and how we use our own technology. And we give our teams space to be proactive and creative.
</p></li><li><p>Real career opportunities. We care about growth and development. Yes, vertical career progression is a possibility, but it's not the only one. From lateral moves and joining different teams to mastering specialized skills, we support your growth no matter what your goals are.
</p></li><li><p>Work colleagues that are as smart, hard-working, and driven as you. We act as one global OutSystems team, taking ownership and working together toward a shared vision.
</p></li><li><p>Disrupting the status quo is in our DNA. In fact, it&rsquo;s why our company exists.
</p></li><li><p>We ask &ldquo;why&rdquo; a lot. It helps us connect our individual work to the bigger picture and sometimes even uncover a better way.
</p></li></ul><p></p><p>Are you ready for the next step in your career? Then we&rsquo;d love to hear from you!
</p><p>OutSystems nurtures an inclusive culture of diversity, where everyone feels empowered to be their authentic self and perform at their best. A company that embraces the creativity and innovation that comes through diverse perspectives. We are committed to creating a team that reflects society through inclusive programs and initiatives and are proud to be an equal opportunity employer. All qualified applicants receive equal consideration regardless of race, place of origin, color, age, marital status, religion, sex, sexual orientation, gender expression or identity, protected veteran status, disability status or any other status protected by law.</p></div><p></p>

Lead AI Engineer

Techsurge Pvt. Ltd.

<p>Solution Development</p><p>Design, build, and deploy AI/ML models and agentic systems for enterprise use cases.</p><p>Develop and maintain MLOps pipelines for model training, deployment, and monitoring.</p><p>Optimize model performance, scalability, and reliability.</p><p>Integration &amp; Platform Enablement</p><p>Integrate AI solutions with enterprise data platforms, APIs, and cloud-native architectures.</p><p>Support the evolution of the enterprise AI platform and adoption of new technologies.</p><p>Governance &amp; Compliance</p><p>Ensure AI solutions adhere to internal governance frameworks, security, and regulatory requirements.</p><p>Implement responsible AI principles, including explainability and bias mitigation.</p><p>Collaboration &amp; Innovation</p><p>Work closely with Data Scientists, Engineers, and Business stakeholders to deliver high-impact solutions.</p><p>Participate in innovation initiatives, sandbox environments, and vendor collaborations.</p><p><b>Required Experience and Skills:</b></p><p>Bachelor&rsquo;s or Master&rsquo;s in CS, AI/ML, Data Science, or related field.</p><p>6+ years in AI/ML engineering, model development, and deployment in technology or financial services.</p><p>Proficiency in AI/ML frameworks, containerization (Docker/Kubernetes), cloud platforms (Azure preferred), and distributed computing.</p><p>Analytical thinking, problem-solving, teamwork, and effective communication.</p><p>Must have experience of deploying agentic AI solution in production.</p><p>Job Type: Full-time</p><p>Work Location: On the road</p>

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