ai systems engineer

Corbion

<div>At Corbion, we exist to champion preservation in all its forms, preserving food and food production, health, and our planet. 
Corbion&rsquo;s Data and AI Lab is building the future of intelligent systems&mdash;where AI agents collaborate, reason, and act autonomously across our global operations. We&rsquo;re looking for a Machine Learning / AI Engineer to help us bring this vision to life, working at our Lenexa, KS office. 
 
In this role, you&rsquo;ll design and deploy ML models and agentic AI systems that power decision-making across R&amp;D, manufacturing, supply chain, and commercial domains. You&rsquo;ll work at the intersection of data science, software engineering, and domain expertise to create scalable, cloud-native solutions that drive measurable business impact.<div></div><div> 
Essential Functions</div><ul><li>
Build intelligent systems: Develop ML models and agent-based AI systems that reason, learn, and act across domains like procurement, production, and customer engagement.</li><li>
Engineer autonomy: Design multi-agent architectures where AI agents collaborate to optimize operations from 'Idea to Launch', 'Demand to Supply', &lsquo;Order to Cash&rsquo;, etc.</li><li>
Operationalize AI: Lead MLOps practices for model lifecycle management, including monitoring, retraining, and governance.</li><li>
Collaborate cross-functionally: Partner with data scientists, analytics engineers, and business stakeholders to translate complex problems into AI-powered solutions.</li><li>
Accelerate innovation: Contribute to the development of AI-enhanced digital products, predictive tools, and decision support systems.</li></ul>
Required Education &amp; Experience<ul><li>
Bachelor&rsquo;s Degree or Master&rsquo;s Degree in Computer Science, Mathematics, Data Science, AI, or related field.</li><li>
3+ years of experience in ML engineering, applied AI, or intelligent systems development.</li><li>
Strong Python skills and experience with ML frameworks (e.g., MLlib, scikit-learn, TensorFlow, PyTorch).</li><li>
Experience with cloud platforms (preferably Azure) and CI/CD pipelines.</li><li>
Solid understanding of data modeling, software architecture, and algorithmic design.</li></ul><div></div><div> 
A very strong candidate will also have experience or exposure to the following:</div><ul><li>
Agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI) or multi-agent systems.</li><li>
LLM orchestration, retrieval-augmented generation (RAG), or domain-specific copilots.</li><li>
Azure AI Foundry, Apache Spark and data lake platforms.</li><li>
Real-time data pipelines, event-driven architectures, or streaming analytics.</li><li>
Food tech, biotech, or manufacturing environments.</li><li>
AI ethics, explainability, and responsible AI practices.</li></ul>
About Corbion
Corbion is the global market leader in lactic acid and its derivatives, and a leading supplier of emulsifiers, functional enzyme blends, minerals, vitamins, and algae ingredients. We use our unique expertise in fermentation and other processes to deliver sustainable solutions for the preservation of food and food production, health, and our planet. For over 100 years, we have been uncompromising in our commitment to safety, quality, innovation and performance. Drawing on our deep application and product knowledge, we work side-by-side with customers to make our cutting-edge technologies work for them. Our solutions help differentiate products in markets such as food, home &amp; personal care, animal nutrition, pharmaceuticals, medical devices, and bioplastics. In 2024, Corbion generated annual sales of &euro;1,288.1 million and had a workforce of 2,399 FTE. Corbion is listed on Euronext Amsterdam. For more information: www.corbion.com 
Corbion is an equal opportunity employer and committed to a diverse workplace. All applicants will be considered equally without regard to race, color, ethnicity, veteran status, religion, national origin, marital status, political affiliation, age, sex, sexual orientation, handicapping condition, membership in an organization or any other non-merit factors. 
Corbion provides reasonable accommodation to applicants. 
EOE/M/F/Vet/Disabled 
Corbion does not accept unsolicited resumes from individual recruiters or third party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers. All candidates must be submitted by approved Corbion vendors who have been expressly requested to make a submission by our Talent Acquisition team for a specific job opening. No placement fees will be paid to any firm unless such a request has been made by the Corbion Talent Acquisition team and such candidate was submitted to the Corbion Talent Acquisition Team.</div>

ML / AI Engineer

Newpage Digital Healthcare solutions

Seeking a senior Lead AI Engineer to design and deliver generative and agentic AI systems end to end, from models to scalable backends, setting quality standards and owning execution.
 Benefits
 
Flexible and remote work
 
Employee-centric culture
 
Supportive peers
 
Work-life balance
 
Generous earnings
 
Opportunities for growth
 
LEAD AI ENGINEER
 
Location: Bangalore, Hybrid | Type: Full-time
 
About Newpage Solutions
 
Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organizations—including pharmaceutical, biotech, and healthcare leaders—to build transformative AI and data driven technologies addressing real-world health challenges.
 
From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices.
 
We are proud to be Great Place to Work® certified for three consecutive years, hold a top Glassdoor rating, and were named among the "Top 50 Most Promising Healthcare Solution Providers" by CIOReview.
 
We foster creativity, continuous learning, and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people’s lives.
 
Your Mission
 
We’re seeking a highly experienced, technically exceptional Lead AI Engineer to architect and deliver next-generation Generative AI and Agentic systems. You will drive end-to-end innovation—from model selection and orchestration design to scalable backend implementation—while collaborating with cross-functional teams to transform AI research into production-ready solutions. This is an individual-contributor leadership role for someone who thrives on ownership, fast execution, and technical excellence. You will define the standards for quality, scalability, and innovation across all AI initiatives.
 
What You’ll Do
 Develop AI Applications & Agentic Systems
 
Architect, build, and optimize production-grade Generative AI applications using
 Orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations
 Agentic AI frameworks (Agno, AutoGen, CrewAI etc.) Retrieval-Augmented Generation (RAG) techniques leveraging vector databases (Pinecone / ChromaDB / Weaviate / pgvector / etc), search engines such as ElasticSearch / Solr using both TF/IDF BM25 based full text search as well as similarity search techniques.
 Microservices and modular backends using Python or Javascript or Java aligned with domain driven design, SOLID principles, OOP, and clean architecture
 Databases including relational (PostgreSQL, MySQL), document (MongoDB, DocumentDB), Key-Value (Redis / DynamoDB), Graph (neo4j, Neptune, Janus Graph)
 Event driven systems using Kafka / MSK, SQS, etc.
 Cloud native deployments in hyper-scalers such as AWS / GCP / Azure using containerization and orchestration with Docker / Kubernetes or serverless architecture
 Multi-modal workflows using text, image, voice and video
 Apply industry best engineering practices: TDD, well-structured and clean code with linting, domain driven design, security-first design (secrets management, rotation, SAST, DAST), comprehensive observability (structured logging, metrics, tracing), containerization & orchestration (Docker, Kubernetes), automated CI/CD pipelines (Ex: Github Actions, Jenkins)
 Design robust prompt & context engineering frameworks to improve accuracy, repeatability, quality, cost, latency.
 Fine-tune and train models for industry or domain specific use cases
 
AI Assisted Development, Context Engineering & Innovation
 
Use AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, Roo Code, Cursor to accelerate development while maintaining code quality and maintainability (not vibe coding, but by a structured approach to AI assisted development)
 Utilise coding assistant tools with native instructions, templates, guides, workflows, sub-agents and more to create developer workflows to improve development velocity, standardisation, reliability across AI teams.
 Focus on ensuring industry best practices to develop well-structured code that is testable, maintainable, performant, scalable and secure (no compromise)
 Partner with Product, Design, and ML teams to translate conceptual AI features into scalable user-facing products.
 Provide technical mentorship and guide team members in system design, architecture reviews, and AI best practices.
 Lead POCs, internal research experiments, and innovation sprints to explore and validate emerging AI techniques.
 
What You Bring
 
7–12 years of total experience in software development, with at least 3 years in AI/ML systems engineering or Generative AI.
 Experience with cloud native deployments and services in AWS / GCP / Azure with the ability to architect distributed systems
 A no-compromise attitude with engineering best practices such as clean code, TDD, containerization, security, CI/CD, scalability, performance and cost optimization
 Active user of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) with demonstrable experience using structured workflows and sub-agents
 A deep understanding of how LLMs work, context engineering approaches and best practices with the ability to optimise accuracy, latency and cost
 Python or Javascript experience with strong grasp of OOP, SOLID principles, 12-factor application development and scalable microservice architecture.
 Proven track record developing and deploying GenAI/LLM-based systems in production.
 Advanced understanding of context engineering, prompt construction, optimization, and evaluation techniques.
 End-to-end implementation experience using vector databases and retrieval pipelines.
 Experience with GitHub Actions, Docker, Kubernetes, and cloud-native deployments.
 Are obsessed with clean code, system scalability, and performance optimization.
 Can balance rapid prototyping with long-term maintainability.
 Excel at working independently while collaborating effectively across teams.
 Stay ahead of the curve on new AI models, frameworks, and best practices.
 Have a founder’s mindset and love solving ambiguous, high-impact technical challenges.
 Bachelor’s or Master’s in Computer Science, Machine Learning, or a related technical discipline
 
Bonus Skills / Experience
 
Understanding of MLOps, model serving, scaling, and monitoring workflows (e.g., BentoML, MLflow, Vertex AI, AWS Sagemaker)
 Experience building streaming + batch data ingestion and transformation pipelines (Spark / Airflow / Beam)
 Mobile and front-end web application development experience
 
What We Offer
 At Newpage, we’re building a company that works smart and grows with agility—where driven individuals come together to do work that matters. We offer:
 
A people-first culture – Supportive peers, open communication, and a strong sense of belonging.
 Smart, purposeful collaboration – Work with talented colleagues to create technologies that solve meaningful business challenges.
 Balance that lasts – We respect your time and support a healthy integration of work and life.
 Room to grow – Opportunities for learning, leadership, and career development, shaped around you.
 Meaningful rewards – Competitive compensation that recognizes both contribution and potential.
 
Ready to Apply?
 Let’s build the future of health together. Apply below or reach out to Shilpa.shetty@newpage.io with any questions.
 
More about Newpage
 
Newpage is a digital health solutions company. We devote ourselves to advancing the quality of life by enhancing health and optimizing the longevity of people. We do this by, passionately building futuristic technologies for global organizations across the healthcare ecosystem. We partake at every stage from problem definition, strategy & service design, user research, UX design, and agile software development – utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation.
 
Newpage is recognized by ‘CIO’s Review’ as “Top 50 Promising Healthcare Solution Providers” and Great Place to Work Certified (GPTW) 2023 & 2024.

LEAD AI ENGINEER

OpenText

AI-First. Future-Driven. Human-Centered.
 At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us.
 
Principal AI Software Architect in Gaithersburg, MD, USA (Hybrid)
 
The AI Engineering and Enablement organization leads OpenText’s AI innovation strategy, shaping how generative and agentic AI are transformed into real products and customer-facing solutions. We work across product, engineering, and research to deliver AI capabilities that power intelligent content, secure workflows, and enterprise-scale automation across OpenText’s portfolio.
 
Our focus goes beyond platforms and tooling to building AI products, experiences, and shared foundations that accelerate innovation while maintaining the trust, security, and governance required in enterprise and regulated environments. From agentic development and orchestration to AI-powered solutions built on trusted content, we enable OpenText teams and customers to realize the full potential of AI at scale.
 
Your Impact: 
As a Principal Software Architect (GenAI Applications and Agentic Systems), you will serve as a senior engineer responsible for designing, building, and extending the agentic runtimes, orchestration flows, and shared GenAI services that form the backbone of our AI platform strategy.You will lead the implementation of reusable GenAI components such as agent frameworks, RAG pipelines, vector-augmented retrieval services, and semantic memory. You will work in close partnership with architects and fellow engineers to productionalize fast-moving incubation efforts, extend orchestration frameworks, and enable scalable agentic solutions that can be reused across products and deployment environments.
 This is a hands-on role for an experienced AI systems engineer who can take ownership of complex capabilities, deliver robust implementations, and contribute directly to the enablement of AI-powered applications across OpenText.
 
What the role offers: 
As aPrincipal Software Architect (GenAI Applications and Agentic Systems), you will:
 
<ul>
<li>Designing and developing production-ready components for GenAI applications, including agent workflows, tool execution layers, vector search integrations, and memory modules.</li>
<li>Implementing and optimizingretrieval-augmented generation (RAG) pipelines, including embeddings, hybrid retrieval, and contextual grounding.</li>
<li>Building reusableagent runtimes and orchestration logic, using frameworks like LangChain, LangGraph, CrewAI, or equivalent.</li>
<li>Participating in the development ofmulti-agent patterns, including asynchronous workflows and Agent-to-Agent (A2A) coordination.</li>
<li>Contributing to the integration of theModel Context Protocol (MCP) for standardized agent-to-tool and resource interactions.</li>
<li>Extending and integrating semantic reasoning into agent flows usingknowledge graphs or other structured sources.</li>
<li>Collaborating with architects and cross-functional teams to translate high-level designs into modular, maintainable code.</li>
<li>Supporting internal enablement by delivering reference implementations, engineering documentation, and code-level onboarding materials.</li>
</ul>
What you need to succeed: 
<ul>
<li>Writing clean, modular Python code usingFastAPI, with a strong understanding of system integration and runtime performance.</li>
<li>Applying and adapting frameworks such asLangChain, LangGraph, CrewAI, or other orchestration platforms to enterprise use cases.</li>
<li>Designing agent workflows that incorporatetools, memory, vector search, structured reasoning, and secure execution.</li>
<li>Understanding and implementingA2A interaction flows and integrating agents with tools and resources usingMCP.</li>
<li>Building scalable RAG systems, and optimizing embedding usage, query strategies, and semantic relevance scoring.</li>
<li>Working across the full development lifecycle from prototype to hardened implementation, with strong test and monitoring practices.</li>
<li>Collaborating with teams working inJava and TypeScript environments, contributing to cross-language integration and API design.</li>
<li>Mentoring developers and reviewing pull requests to uphold engineering standards across agentic codebases.</li>
</ul>
What It Takes: 
<ul>
<li>10+ years of software development experience, including 2–4 years focused on GenAI or agentic AI development.</li>
<li>Strong proficiency inPython, with real-world experience usingFastAPI to build service-oriented systems.</li>
<li>Direct experience implementing agent flows usingLangChain, LangGraph, CrewAI, or similar frameworks.</li>
<li>Experience implementing RAG pipelines, working with vector databases, embedding models, and hybrid retrieval strategies.</li>
<li>Working knowledge ofMCP and A2A patterns, with hands-on experience integrating agents, tools, and services into orchestrated flows.</li>
<li>Familiarity withknowledge graphs and structured reasoning models is a strong plus.</li>
<li>Ability to work with and aroundJava and TypeScript-based applications, including REST and event-driven interfaces.</li>
<li>Demonstrated ability to ship complex systems in collaboration with architects, product managers, and infrastructure teams.</li>
<li>Strong documentation and communication skills to support reusability and onboarding</li>
</ul>
One last thing: 
OpenText is more than just a corporation, it's a global community where trust is foundational, the bar is raised, and outcomes are owned. 
 
Join us on our mission to drive positive change through privacy, technology, and collaboration. At OpenText, we don't just have a culture; we have character. Choose us because you want to be part of a company that embraces innovation and empowers its employees to make a difference.
 
#LI-KP2
 
OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.
 If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please submit a ticket atAsk HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.
 
Compensation: At OpenText, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. As you move through the hiring process, we’re happy to provide more details about our compensation programs, including variable and commission compensation opportunities for eligible roles, vacation entitlement, and paid time off.
 
Salary Range: $190,890.00 - $313,605.00; Depending on the candidate’s education, experience, skills, geographical location, and alignment with internal equity and external market, actual salary may vary and be higher or lower than the range posted.

Principal AI Software Architect US

Scale AI

<div>Software Engineer - Robotics &amp; Autonomous Systems
<div>
Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.</div>
<div>
You Will:</div>
<ul>
<li>Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets</li>
<li>Build ML training and fine-tuning pipelines using Scale's robotics data</li>
<li>Work across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions</li>
<li>Develop tools and systems for robotics data collection, teleoperation, and model evaluation</li>
<li>Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development</li>
<li>Build real-time systems for robotic control, sensor fusion, and perception pipelines</li>
<li>Design comprehensive monitoring and evaluation frameworks for robotics models and data quality</li>
<li>Collaborate with ML engineers and researchers to bring robotics research into production</li>
<li>Deliver features at high velocity while maintaining system reliability and performance</li>
</ul>
<div>Ideally, You Have:</div>
<ul>
<li>3+ years of software engineering experience in robotics, autonomous vehicles, or related fields</li>
<li>Strong programming skills in Python and TypeScript/Node.js for production systems</li>
<li>Experience with React and modern frontend development for 3D interfaces</li>
<li>Practical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systems</li>
<li>Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)</li>
<li>Experience with databases (MongoDB, PostgreSQL) and data processing at scale</li>
<li>Track record of working with cross-functional teams including ML engineers, researchers, and customers</li>
<li>Strong communication skills and ability to operate with high autonomy</li>
</ul>
<div>Nice to Haves:</div>
<ul>
<li>Experience with C++</li>
<li>Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization</li>
<li>Background in computer vision, SLAM, motion planning, or imitation learning</li>
<li>Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing</li>
<li>Experience with ML model deployment and serving frameworks</li>
<li>Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces</li>
<li>Experience with workflow orchestration systems (Temporal, Airflow)</li>
<li>Published research or open-source contributions in robotics or autonomous systems</li>
</ul><div><div><div><div>
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You&rsquo;ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</div></div><div>
The base salary range for this full-time position in the location of San Francisco is:</div><div>
$216,200&mdash;$270,250 USD</div></div></div><div><div>
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</div>
<div>
About Us:</div>
<div>
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</div>
<div>
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</div>
<div>
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.</div>
<div>
We comply with the United States Department of Labor's Pay Transparency provision.</div>
<div>
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.</div></div></div>

Software Engineer - Robotics & Autonomous Systems

Microsoft

<div>Overview 
Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft&rsquo;s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers&rsquo; heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.
The Microsoft AI Red Team is an interdisciplinary group of security experts, adversarial ML researchers, and software engineers with the mission of proactively identifying failures in Microsoft&rsquo;s AI systems before they impact customers. Within the AI Red Team, our Tooling group builds platforms and developer experiences that enable teams across Microsoft to evaluate AI-powered systems at scale. Our team is the home of PyRIT (https://github.com/Azure/PyRIT), an open-source framework used for AI risk identification and evaluation. We are expanding this space by building a new platform that enables product teams to run system-level evaluations of agentic applications and model-enabled experiences inside normal engineering workflows. We are looking for a Software Engineer II to help build a new system-level evaluation platform for agentic applications and model-enabled experiences. These systems increasingly involve multi-step reasoning, tool and API use, multimodal inputs, and memory. In this role, you will contribute to the design and implementation of core platform capabilities and integration patterns that allow engineering teams to run evaluations in their workflows and pipelines.
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. 
Responsibilities 
<ul><li>
Build core platform features that enable repeatable, scalable evaluations of agentic applications and model-enabled experiences (execution workflows, integration patterns, developer-facing interfaces).</li><li>
Partner with product teams to gather requirements and deliver integrations that work across different system surfaces (chat experiences, APIs, and tool/orchestration layers) with minimal friction.</li><li>
 Ship high-quality, reliable code through strong engineering practices (design docs, code reviews, CI, unit/integration testing) to ensure correctness and reproducibility.
</li><li>Make results actionable by producing clear, structured outputs and reporting artifacts (summaries, diagnostics, signals) that fit naturally into engineering workflows.
</li><li>Serve as a Designated Responsible Individual (DRI) on-call for your area, monitoring for degradation or downtime, responding to incidents, and driving root-cause analysis and reliability improvements</li></ul> 

Qualifications 
Qualifications - Minimum Requirements:<ul><li>
Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li><li>
1+ years of experience building systems with emphasis on reliability, durability, and operational efficiency, including experience with live site operations, incident response, and performance optimization.</li></ul> 
Qualifications - Other Requirements:<ul><li>
Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python<ul><li>
OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li></ul></li><li>
1+ years of experience designing, building, and operating scalable, highly available cloud services or distributed systems on platforms such as Azure, AWS, GCP, or comparable cloud environments, with production ownership and CI/CD pipeline integration.</li></ul> 
 
 
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 
https://careers.microsoft.com/us/en/us-corporate-pay 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

Software Engineer II

Axix Technologies

About the Role:Axix Technologies is hiring a high-caliber AI Agent Automation Intern to work on enterprise-grade AI automation systems used across security, surveillance, operations, and digital workflows. This role is for serious builders, not beginners. You will design, integrate, and deploy AI-driven automation, intelligent agents, and computer vision pipelines that operate in real production environments.This internship is strictly onsite and leads directly to a permanent role for high performers.Core Responsibilities:<ul><li>Build AI Agent automation workflows for enterprise use cases</li><li>Design agent orchestration &amp; decision flows using modern frameworks</li><li>Implement n8n-based automation pipelines integrated with AI models</li><li>Develop Computer Vision modules (object detection, tracking, events)</li><li>Work on AI-powered security &amp; surveillance systems</li><li>Build API-first, microservices-based AI backends</li><li>Containerize services using Docker and deploy on Kubernetes</li><li>Optimize inference pipelines for real-time &amp; edge deployments</li><li>Use Cursor / AI-assisted IDEs to accelerate development</li><li>Collaborate with product, CV, and platform teams onsite</li></ul>Required Tools, Frameworks &amp; Skills:Candidates must have hands-on experience with most of the following:AI Agents &amp; Automation<ul><li>n8n (workflow automation)</li><li>LangGraph / LangChain (agent orchestration)</li><li>Multi-agent systems &amp; decision trees</li><li>LLM-based automation &amp; tool calling</li></ul>Computer Vision &amp; AI<ul><li>Object detection (YOLO, OpenCV, CNNs)</li><li>Person detection &amp; tracking (DeepSORT / ByteTrack preferred)</li><li>Real-time video analytics pipelines</li><li>Model optimization (quantization, distillation)</li><li>OpenVINO / ONNX Runtime (preferred)</li></ul>Backend, DevOps &amp; Architecture<ul><li>Python (mandatory)</li><li>REST APIs (FastAPI / Flask / Node.js)</li><li>Microservices architecture</li><li>Docker &amp; containerized deployments</li><li>Kubernetes (K8s) basics</li><li>Event-driven &amp; message-based systems</li></ul>Full-Stack (Working Knowledge Required)<ul><li>Frontend dashboards (React / Vue or similar)</li><li>AI system visualization &amp; monitoring panels</li></ul>Developer Productivity<ul><li>Cursor or AI-powered coding tools</li><li>Git &amp; collaborative development workflows</li></ul>Eligibility Criteria:<ul><li>Completed Bachelor&rsquo;s degree (CS, AI, SE, Data Science, or related)</li><li>Strong problem-solving &amp; system-level thinking</li><li>Ability to work onsite in Gulberg, Lahore</li><li>Serious intent to convert into a long-term role</li></ul>What You&rsquo;ll Get:<ul><li>PKR 20,000 monthly stipend (fixed)</li><li>Work on production-level AI automation systems</li><li>Exposure to enterprise security &amp; surveillance platforms</li><li>Mentorship from senior AI &amp; system architects</li><li>Direct career path to full-time employment</li><li>Experience with cutting-edge AI agent &amp; automation stack</li></ul>How to Apply:Email: careers@axixtechnologies.com Contact: 0300-1119405 Office: 138 D1, Main Boulevard, Gulberg III, LahoreSubject Line: AI Agent Automation Intern &ndash; LahoreJob Type: Full-timePay: Rs20,000.00 per monthWork Location: In person

AI Agent Automation Intern (Enterprise AI, CV & Workflow Automation) – Leading to Job

DataCamp

<div>About DataCamp

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 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role

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.

We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.

About you

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!

Responsibilities
<ul>
<li>Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.</li>
<li>Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.</li>
<li>Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.</li>
<li>Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.</li>
<li>Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.</li>
<li>Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.</li>
<li>Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.</li>
</ul>
Qualifications
<h3 class="jobSectionHeader">
Technical</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">Product &amp; Pedagogy</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">Character &amp; Collaboration</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>
Why Datacamp?

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:
<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>

Principal AI Engineer

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