ai integration engineer

Siemens

<div>
 Siemens Gebze factory is the lead factory for Air Insulated Switchgear production in Siemens World and exporting to more than 80 countries worldwide! We are searching for a &ldquo;
 
 AI Integration &amp; Deployment Engineer
 
 &rdquo;. You will join an exciting team and develop world-class solutions in a manufacturing facility. A great opportunity to experiment the harmony of code and real life!
 
 
 The successful candidate will be responsible for integrating AI-driven solutions and large language models (LLMs) into existing digital platforms, ensuring secure, scalable, and efficient deployment within an industrial environment.
 
 
 This position requires strong technical expertise in backend development, AI service integration, and deployment orchestration. The ideal candidate will play a key role in bridging artificial intelligence capabilities with enterprise-level systems to accelerate digitalization and automation initiatives.
 
 
 Additionally, the role involves designing AI-driven data understanding layers &mdash; tagging, classifying, and enriching existing database records to enable semantic search and complex natural language queries across structured and unstructured data sources.
 
 
 The engineer will help establish intelligent data pipelines that transform conventional SQL-based repositories into AI-accessible knowledge layers, supporting context-aware query generation and advanced analytics.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and maintain AI-powered integrations within enterprise digital platforms
 </li>
 <li>
 Develop RESTful APIs and backend microservices for connecting internal systems with AI services
 </li>
 <li>
 Manage the deployment lifecycle of AI components using Docker, Kubernetes, and CI/CD pipelines
 </li>
 <li>
 Build AI orchestration pipelines including prompt processing, intent mapping, and data retrieval mechanisms
 </li>
 <li>
 Ensure adherence to corporate standards on data privacy, access control, and cybersecurity
 </li>
 <li>
 Conduct functional and performance testing of deployed AI services
 </li>
 <li>
 Monitor and continuously optimize AI workloads in production environments
 </li>
 <li>
 Design data labeling and embedding strategies to make enterprise datasets searchable through AI.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Engineering, Software Engineering, Electrical-Electronics, or Artificial Intelligence
 </li>
 <li>
 (Must have)Proven experience in delivering AI-driven integration or deployment projects in a production or enterprise environment, demonstrating measurable results or operational impact
 </li>
 <li>
 Proficiency in modern programming languages and frameworks commonly used for API and backend development (e.g., Python, JavaScript, or similar technologies)
 </li>
 <li>
 Hands-on experience with OpenAI, Azure OpenAI, Anthropic, or Hugging Face APIs
 </li>
 <li>
 Working knowledge of relational or analytical databases (e.g., MySQL, Snowflake)
 </li>
 <li>
 Understanding of vector databases (e.g., Pinecone, Weaviate, FAISS) and semantic search principles
 </li>
 <li>
 Experience working in secure, large-scale enterprise software environments
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Familiarity with prompt engineering and model tuning concepts
 </li>
 <li>
 Experience in transforming tabular and textual datasets into knowledge graphs or AI-queryable structures
 
 
 </li>
 </ul>
 
 What We Offer?
 
 
 
 <ul>
 <li>
 Speaking up Culture
 </li>
 <li>
 Respectful Workplace
 </li>
 <li>
 Being part of a global work environment
 </li>
 <li>
 Attractive remuneration package
 </li>
 <li>
 Excellent recognition tools providing spot awards
 </li>
 <li>
 Learning &amp; Development opportunities for both personal and professional growth
 </li>
 <li>
 Leave days for parents and a variety of flexible working models that allow time off for yourself and your family
 </li>
 <li>
 Creche allowance for mothers
 </li>
 <li>
 Share matching programs to become a shareholder of Siemens AG
 </li>
 <li>
 Remote working and remote living flexibility only for relevant positions
 </li>
 <li>
 Find more benefits here
 
 
 </li>
 </ul>
 
 Individual benefits are adapted to meet local legal regulations, the requirements of different job profiles, locations, and individual preferences.
 
 
 
 &ldquo;At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow &lsquo;s reality.
 
 
 As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.
 
 
 Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.
 
 
 We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.
 
 
 Please find more information from our web site:
 
 
 https://new.siemens.com/tr/tr.html
 
 
</div>

AI Integration & Deployment Engineer

Fortes Education

Job
 Description: AI Engineer – Open Source LLMs & AI Integration
 
We are looking for a hands-on AI Engineer with deep expertise in open-source,
 open-weight large language models (LLMs) and end-to-end software
 integration. This role is ideal for someone excited to build
 production-ready AI systems across education, fintech, and business
 automation.
 
As part of our innovation-driven team, you’ll work on projects ranging from:
 <ul>
<li>Building personal AI tutors for students and teachers in schools</li>
<li>Designing AI-powered payments & fintech platforms</li>
<li>Automating workflows for brick-and-mortar businesses (AI agents</li>
</ul>
handling outbound lead nurturing calls, follow-ups, and sales closure)
 
Key Responsibilities
 <ul>
<li>Fine-tune and optimize open-source/open-weight models (LLaMA,</li>
</ul>
Mistral, Falcon, etc.) for real-world use cases
 <ul>
<li>Integrate models with applications, APIs, and databases to deliver</li>
</ul>
scalable AI solutions
 <ul>
<li>Develop and deploy AI agents for tasks such as tutoring, lead</li>
</ul>
nurturing, and workflow automation
 <ul>
<li>Work with retrieval-augmented generation (RAG) pipelines, vector</li>
</ul>
databases, and orchestration frameworks (LangChain, LlamaIndex)
 <ul>
<li>Collaborate with cross-functional teams to design production-ready AI</li>
</ul>
workflows
 <ul>
<li>Stay ahead of new advancements in AI/ML, generative AI, and agent</li>
</ul>
frameworks
 
Core Technical Skills
 <ul>
<li>LLM Fine-Tuning & Optimization: Hugging Face, PyTorch,</li>
</ul>
TensorFlow, LoRA, PEFT
 <ul>
<li>AI Agent Frameworks: LangChain, LlamaIndex, AutoGen, SmolAgents</li>
<li>Vector Databases: Pinecone, Weaviate, FAISS, ChromaDB</li>
<li>Programming: Python (expert), JavaScript/TypeScript (bonus)</li>
<li>DevOps & Cloud: Microsoft Azure, Docker, Kubernetes, CI/CD, Git</li>
<li>Workflow Automation: API integration, microservices, REST/GraphQL</li>
<li>Databases: PostgreSQL, NoSQL, Redis</li>
</ul>
Ideal Candidate
 <ul>
<li>Proven experience training/fine-tuning LLMs and deploying them in</li>
</ul>
production
 <ul>
<li>Strong background in software engineering (microservices, APIs, web</li>
</ul>
integrations)
 <ul>
<li>Familiarity with AI for education, fintech, or workflow automation</li>
<li>Entrepreneurial mindset with the ability to take projects from concept</li>
</ul>
to deployment
 <ul>
<li>Excited to experiment, innovate, and push the boundaries of applied AI</li>
</ul>
Location & Opportunity
 <ul>
<li>Based in Dubai, with projects spanning global education, fintech, and</li>
</ul>
enterprise automation
 <ul>
<li>Be part of a fast-moving, innovative team shaping the future of</li>
</ul>
AI-driven businesses
 
If you’re passionate about building real-world
 AI systems that make an impact — from classrooms to financial platforms to
 local businesses — we’d love to hear from you.
 
Apply now and let’s build the future of AI together.
 
Interested candidates can apply on our website: 
http://www.fortes.co/Careers

AI Engineer – Open Source LLMs & AI Integration

Pharmnova Medical Research Pvt Ltd

About the CompanyPharmnova is a technology-focused contact research organization building advanced AI-driven SaaS platforms deployed on the cloud.Role OverviewWe are seeking a Senior Software Engineer / SaaS Solution Architect to lead and support the development and architecture design of AI-driven SaaS applications deployed on Microsoft Azure.This role requires hands-on SaaS application development, architecture design, and mandatory experience in AI integration and Azure deployment. The candidate will work closely with other developers, AI Engineers and Data Scientists and contribute to both technical execution and project coordination.Key Responsibilities<ul><li>Design and implement SaaS application architecture with scalability, security, and performance in mind</li><li>Develop and maintain backend services using Node.js and MongoDB</li><li>Lead and contribute to AI integration into SaaS applications in collaboration with AI/Data Science teams</li><li>Deploy, manage, and optimize applications on Azure Cloud (mandatory)</li><li>Participate in architecture planning, technical documentation, and design reviews</li><li>Coordinate with cross-functional teams and support project planning and execution</li><li>Ensure best practices for cloud-native development, security, and performance</li><li>Troubleshoot production issues and continuously improve system reliability</li></ul>Mandatory Skills and Experience<ul><li>3 - 10 years of professional experience in software engineering</li><li>Mandatory experience in SaaS application development and architecture design</li><li>Mandatory Azure cloud deployment experience</li><li>Mandatory hands-on experience with AI integration in production systems</li><li>Strong proficiency in Node.js backend development</li><li>Experience with MongoDB or similar NoSQL databases</li><li>Experience working directly with AI Engineers / Data Scientists</li><li>Solid understanding of microservices, REST APIs, and cloud-native architectures</li></ul>Additional Skills (Plus)<ul><li>Project management or technical lead experience</li><li>Strong verbal and written communication skills</li><li>Experience with CI/CD pipelines and DevOps practices</li><li>Exposure to Azure AI Services, OpenAI, or similar platforms</li><li>Knowledge of containerization (Docker, Kubernetes)</li></ul>Qualifications<ul><li>B.E or M.E degree in Computer Science, or a related field</li><li>Relevant cloud or AI certifications are a plus</li></ul>Why Join Pharmnova?If you have the passion to contribute to healthcare where AI solutions are transforming lives, Pharmnova can facilitate right career path through:<ul><li>Work on AI-powered SaaS platforms with real-world impact</li><li>Work with healthcare/pharma domain experts to understand Healthcare Industry</li><li>Opportunity to influence architecture and technical direction</li><li>Collaborative environment with AI and Data Science teams</li><li>Competitive compensation and long-term growth opportunities</li></ul>Experience3 to 10 YearsSalary₹6 - 20 LPA (Based on experience and expertise)Job Type: Full-timePay: ₹600,000.00 - ₹2,000,000.00 per yearEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>software engineering: 3 years (Preferred)</li></ul>Work Location: In person

SaaS Solution Architect

Evergreen Goodwill

About Evergreen Goodwill
 
Evergreen Goodwill of Northwest Washington is a 501(c)(3) nonprofit organization founded in 1923 that helps people get jobs across Northwest Washington by offering high-quality free job training, education and job placement. Goodwill empowers individuals to overcome barriers to working, by providing comprehensive support and connecting them with life changing job opportunities, ensuring they are career-ready and can support themselves and their families.
 
The organization employs over 2,000 people, operates five job-training centers, 23 nonprofit retail stores and more than 27 donation sites in King, Snohomish, Skagit, Whatcom and Kitsap Counties. Every day, Evergreen Goodwill connects people with the jobs, services and skills they need — because Jobs Change Lives. We are committed to creating and sustaining a culture of equity, diversity and inclusion (DEI) and are focused on creating a joyful, inclusive and successful organization.
 
Title: Senior Software Engineer
 Location: Evergreen Goodwill Headquarters
 Hybrid Schedule - 3 Days/Week in Office
 Department: Information Technology
 Reports to: VP of Technology
 FLSA Status: Salaried, Exempt
 Salary Range: $110,000 - $140,000 – annually, DOE
 About the Position
 
The Senior Software Engineer is responsible for designing and developing enterprise-grade software solutions that support EGNW's digital transformation and production automation initiatives. This role focuses on building scalable, secure, and maintainable applications that integrate with existing systems while supporting innovative operational workflows including AI-powered donation processing, warehouse automation, and custom business applications.
 This position is critical to advancing EGNW's technology capabilities beyond basic automation into sophisticated software solutions that drive operational efficiency, data integration, and mission impact at scale.
 Essential Duties and Responsibilities include the following.
 
Other duties, responsibilities, and activities may change or be assigned at any time with or without notice.
 Enterprise Software Development
 <ul>
<li>Design and develop scalable software applications using modern development frameworks and cloud-native architectures.</li>
<li>Build custom integrations between D365, warehouse management systems, production automation, and business applications.</li>
<li>Develop APIs and micro-services to support system interoperability and data exchange.</li>
<li>Create robust, maintainable code following software engineering best practices and design patterns.</li>
<li>Implement automated testing, continuous integration, and deployment pipelines.</li>
</ul>
Production Automation & AI Integration
 <ul>
<li>Collaborate with Solution Engineer on production automation software components and workflow integration.</li>
<li>Develop software solutions for AI-powered donation processing, classification, and cataloging systems.</li>
<li>Build applications that integrate computer vision, machine learning, and operational workflows.</li>
<li>Create data processing pipelines that support real-time decision making in production environments.</li>
<li>Design and implement software architectures that support warehouse automation and inventory management.</li>
</ul>
System Integration & Architecture
 <ul>
<li>Architect and implement integrations between Microsoft Dynamics 365 and production systems.</li>
<li>Develop custom applications that extend and enhance existing business systems.</li>
<li>Design database schemas and data models that support complex operational workflows.</li>
<li>Build secure, scalable solutions that handle high-volume data processing and real-time operations.</li>
<li>Ensure software solutions comply with security, privacy, and compliance requirements.</li>
</ul>
Collaboration & Technical Leadership
 <ul>
<li>Partner closely with Solution Engineer on production automation initiatives and technical requirements.</li>
<li>Collaborate with Business Application Manager on enterprise application integration needs.</li>
<li>Work with data and analytics team on software requirements for business intelligence and reporting.</li>
<li>Provide technical guidance and mentoring to other team members on software development practices.</li>
<li>Participate in technical architecture discussions and contribute to technology strategy decisions.</li>
</ul>
Innovation & Continuous Improvement
 <ul>
<li>Research and evaluate emerging technologies that can enhance EGNW's software capabilities.</li>
<li>Contribute to the development of EGNW's technology roadmap and digital transformation initiatives.</li>
<li>Identify opportunities to improve existing systems through software development and automation.</li>
<li>Support proof-of-concept development for new technology initiatives and innovation projects.</li>
<li>Stay current with industry best practices in software engineering, cloud computing, and enterprise development.</li>
</ul>
Position Requirements Qualifications under the Americans with Disabilities Act (ADA)
 
To successfully perform this job, individuals must be able to complete each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.
 Education
 <ul>
<li>Bachelor's degree in Computer Science, Software Engineering, or related technical field.</li>
<li>Advanced degree in relevant field preferred.</li>
<li>Industry certifications (Microsoft Azure, AWS, or similar cloud platforms) preferred.</li>
</ul>
Experience
 <ul>
<li>5-8 years of professional software development experience with enterprise-grade applications.</li>
<li>Experience with cloud-native development and micro-services architecture.</li>
<li>Background in system integration, API development, and data processing applications.</li>
<li>Experience with AI/ML integration and data pipeline development preferred.</li>
<li>Background in retail, operations, manufacturing, or mission-driven organizations preferred.</li>
</ul>
Technical Skills
 <ul>
<li>Programming Languages: Proficient Skill Level in C#, Python, JavaScript/TypeScript, & SQL</li>
<li>Cloud Platforms: Advanced experience with Microsoft Azure services (App Services, Functions, Storage, SQL)</li>
<li>Development Frameworks: .NET Core, React/Angular, Node.js, or similar modern frameworks</li>
<li>Database Technologies: SQL Server, Azure SQL, Cosmos DB, and data modeling principles</li>
<li>Integration: REST APIs, GraphQL, message queues, and enterprise integration patterns</li>
<li>DevOps: Git, Azure DevOps, CI/CD pipelines, containerization (Docker, Kubernetes)</li>
<li>AI/ML: Experience with Azure Cognitive Services, Machine Learning, or similar platforms preferred.</li>
</ul>
Enterprise Development Skills
 <ul>
<li>Experience with enterprise software architecture patterns and design principles.</li>
<li>Understanding of security best practices, authentication, and authorization frameworks.</li>
<li>Knowledge of software testing methodologies including unit, integration, and acceptance testing.</li>
<li>Experience with agile development methodologies and collaborative development practices.</li>
<li>Understanding of performance optimization, scalability, and high-availability system design.</li>
<li>Experience with monitoring, logging, and application performance management.</li>
</ul>
Business & Communication Skills
 <ul>
<li>Strong problem-solving skills with ability to translate business requirements into technical solutions.</li>
<li>Excellent communication skills with ability to explain technical concepts to non-technical stakeholders.</li>
<li>Experience working in cross-functional teams and collaborating with business stakeholders.</li>
<li>Project management capabilities with ability to manage multiple development initiatives.</li>
<li>Understanding of nonprofit operations, retail, or warehouse management environments preferred.</li>
<li>Ability to work independently while contributing effectively to team objectives.</li>
</ul>
Physical Abilities
 <ul>
<li>While performing the duties of this job, the employee will be required to sit for periods of time, communicate with other employees by talking and hearing, and operate computer systems.</li>
<li>Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.</li>
<li>Occasional travel to retail locations, warehouse facilities, and off-site meetings for system analysis and deployment.</li>
<li>Able to communicate with others effectively both verbally and written, including those who have limited English skills.</li>
<li>Maintain reliable attendance.</li>
</ul>
Work Environment
 <ul>
<li>Exposure to computer screens and development systems.</li>
<li>The noise level in the work environment is usually moderate.</li>
<li>Hybrid work schedule, at least (3) Three Days/Week Required in Office</li>
<li>Required job duties are normally performed in a climate-controlled office environment, or remotely from home.</li>
<li>Occasional visits to retail stores and warehouse facilities to understand operational requirements and test deployed solutions.</li>
</ul>
Everyone Is Welcome
 When you join Evergreen Goodwill, you join a truly vibrant community. We value the things that make us different and unique. From diverse international and ethnic backgrounds, to languages, identities, ages, orientations, and beyond, Evergreen Goodwill celebrates individual and cultural diversity.
 Why work at Evergreen Goodwill?
 <ul>
<li>A health plan that includes medical, dental, vision and prescription coverage</li>
<li>100% Employer-paid life, accidental death and dismemberment (AD&D), and long-term disability insurance (for salaried employee)</li>
<li>Voluntary supplemental coverage for life, accident, illness, and short- and long-term disability</li>
<li>Flexible Spending Accounts (FSA) Plan</li>
<li>Roth and 403(b) Retirement Savings Plan program</li>
<li>Paid vacation, (9) holiday and sick time</li>
<li>Limited paid time off for Jury Duty and Bereavement Leave</li>
<li>Employee discounts</li>
<li>Employee Assistance Program (EAP)</li>
<li>Career Advancement Opportunities</li>
<li>Paid Job Training</li>
</ul>
EEO Statement: Evergreen Goodwill of Northwest Washington is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, creed, sex, national origin, age, disability, marital status, citizenship, military status, sexual orientation, gender identity, genetic information, veteran status, or other protected characteristics in accordance with applicable law. This policy applies to all aspects of employment, including hiring, compensation, benefits, and termination.
 
Everyone Is Welcome
 
When you join Evergreen Goodwill, you join a truly vibrant community. We value the things that make us different and unique. From diverse international and ethnic backgrounds, to languages, identities, ages, orientations, and beyond, Evergreen Goodwill celebrates individual and cultural diversity.
 
Why work at Evergreen Goodwill?
 
A health plan that includes medical, dental, vision and prescription coverage
 
100% Employer-paid life, accidental death and dismemberment (AD&D), and long term disability insurance (for salaried employee)
 
Voluntary supplemental coverage for life, accident, illness, and short- and long-term disability
 
Flexible Spending Accounts (FSA) Plan
 
Roth and 403(b) Retirement Savings Plan program
 
Paid vacation, (9) holiday and sick time
 
Limited paid time off for Jury Duty and Bereavement Leave
 
Employee discounts
 
Employee referral bonus
 
Employee Assistance Program (EAP)
 
Mentorship Program
 
Career Advancement Opportunities
 
Paid Job Training
 
EEO Statement: Evergreen Goodwill of Northwest Washington is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, creed, sex, national origin, age, disability, marital status, citizenship, military status, sexual orientation, gender identity, genetic information, veteran status, or other protected characteristics in accordance with applicable law. This policy applies to all aspects of employment, including hiring, compensation, benefits, and termination.
 
This document does not represent a contract of employment, and EGNW reserves the right to change this job description and/or assign tasks for the employee to perform, as EGNW may deem appropriate.

Senior Software Engineer

bhramakar solution pvt ltd

An AI engineer with Next.js specialization is a full-stack developer who uses the Next.js framework to build high-performance, AI-powered web applications. The role involves creating user interfaces that interact with machine learning models and AI-driven APIs, often focusing on advanced features like generative AI, data visualization, and personalization. Roles and responsibilities<ul><li>Develop AI-integrated applications: Build and maintain full-stack applications using Next.js (with React) that seamlessly integrate with AI/ML models and services.</li><li>Design and implement user experiences: Create interactive and visually appealing frontends that leverage AI capabilities, such as chatbots, automated content generation, or data-driven dashboards.</li><li>Build AI-powered backends: Design and develop the backend services and APIs that serve and manage AI models, often using Python frameworks like FastAPI or Node.js.</li><li>Consume and manage AI APIs: Implement and optimize API integrations with third-party AI services and custom machine learning models.</li><li>Manage deployment workflows: Use tools like Vercel, AWS, or Docker to deploy and manage Next.js applications and their AI components in a scalable and efficient manner.</li><li>Enhance SEO and performance: Leverage Next.js features like Server-Side Rendering (SSR) and Static Site Generation (SSG) to ensure AI-driven content is performant and SEO-friendly.</li><li>Create reusable components and architecture: Establish scalable frontend and backend architectures and build reusable components for AI-related functionality, such as UI for interacting with large language models.</li><li>Collaborate across teams: Work with AI/ML scientists, data engineers, and UI/UX designers to translate complex requirements into intuitive and effective product features.</li></ul>Required qualifications and skillsTechnical skills<ul><li>Expertise in Next.js: Deep knowledge of the Next.js framework, including the App Router, React Server Components (RSCs), Server Actions, and data fetching strategies (SSR, SSG, ISR).</li><li>Proficiency in AI integration: Hands-on experience integrating AI/ML services and APIs (e.g., OpenAI API, Hugging Face, Vercel AI SDK) into web applications.</li><li>Backend and API development: Solid skills in backend development with Node.js and/or Python (e.g., with Express, FastAPI, or Django) to build APIs for AI models.</li><li>Database management: Experience with databases (SQL and NoSQL) like PostgreSQL, MongoDB, or Redis to store and manage application and AI-related data.</li><li>TypeScript: Strong proficiency with TypeScript for building robust and scalable applications.</li><li>Frontend fundamentals: Mastery of modern web technologies, including JavaScript (ES6+), React, HTML, and CSS (e.g., Tailwind CSS).</li><li>Deployment and cloud experience: Familiarity with deploying applications on cloud platforms like Vercel, AWS, or Azure and using containerization tools like Docker.</li></ul>Soft skills<ul><li>Problem-solving: Ability to tackle complex, multidisciplinary problems at the intersection of web development and artificial intelligence.</li><li>Communication: Excellent verbal and written communication skills to articulate technical concepts and collaborate effectively across teams.</li><li>Adaptability: A continuous learning mindset to stay current with the rapidly evolving AI and web development landscape.</li><li>User empathy: A strong focus on the user experience and the ability to build interfaces that effectively communicate AI-powered functionality to end-users.</li></ul>Education and experience<ul><li>A Bachelor's degree in Computer Science, AI, or a related field, or equivalent work experience.</li><li>A strong portfolio showcasing Next.js projects with AI/ML integrations is often preferred.</li></ul>Job Types: Full-time, FresherPay: ₹5,000.00 - ₹8,000.00 per monthWork Location: Remote

Javascript and AI (javascript) ,mcp,rag

KC Overseas Education

<div>About Univlane https://www.univlane.com/
Univlane is building an AI-powered enrollment and engagement platform that enables universities to operate faster, smarter, and at scale. Our backend systems power student journeys, AI-driven workflows, data pipelines, and other mission-critical services across the platform.
We are early in our journey, which means backend engineers at Univlane play a foundational role in shaping system architecture, scalability, and long-term engineering best practices.
The Role
We are looking for a Senior Backend Engineer to help design and build the core systems behind Univlane&rsquo;s platform. This role focuses on building reliable, scalable backend services and thoughtfully integrating AI capabilities into real production workflows.
You will work closely with frontend, product, and applied AI teams to deliver features that directly impact how universities and students interact with the platform.
What You&rsquo;ll Do
Backend &amp; Platform Engineering<ul><li>Design, build, and operate backend services using Node.js</li><li>Model and maintain core domain data using PostgreSQL</li><li>Build APIs and workflows that support complex, stateful business processes</li><li>Ensure systems meet high standards for performance, security, and reliability</li></ul>
Applied AI Integration<ul><li>Integrate AI services (e.g., OpenAI, Gemini) into backend workflows where they provide clear product value</li><li>Build and maintain retrieval-based systems that combine structured data with document and knowledge sources</li><li>Design prompt and context pipelines that are deterministic, observable, and testable</li><li>Handle production concerns such as latency variability, partial failures, and degraded AI responses</li><li>Continuously improve quality, cost, and performance through measurement and iteration</li></ul>
Ownership &amp; Architecture<ul><li>Own services end to end: design implementation deployment monitoring</li><li>Build safeguards, fallbacks, and controls around AI-dependent flows</li><li>Contribute to architectural decisions and help define backend standards</li><li>Mentor engineers and contribute to a strong, pragmatic engineering culture</li></ul>
What You&rsquo;ll Bring<ul><li>Strong experience building backend systems using Node.js</li><li>Solid understanding of relational databases, especially PostgreSQL</li><li>Prior experience integrating LLM APIs into production systems</li><li>Practical understanding of retrieval-augmented approaches and context construction</li><li>Strong system design fundamentals and experience operating services in production</li><li>Comfort working in ambiguous environments with high ownership</li><li>Clear communication and sound engineering judgment</li></ul>
Nice to Have<ul><li>Experience working on workflow engines, automation platforms, or decision systems</li><li>Familiarity with embeddings, vector search, or document indexing</li><li>Experience with observability, cost monitoring, and reliability of AI-driven features</li><li>Background in B2B SaaS or systems handling operational workflows</li><li>Experience mentoring engineers or leading technical initiatives</li></ul>
Why Join Univlane<ul><li>Build foundational backend systems for an AI-powered platform from an early stage</li><li>Work on real production problems with meaningful impact on universities and students</li><li>High ownership and influence over architecture and engineering practices</li><li>Small, focused team with strong technical standards</li><li>Opportunity for rapid growth as the platform and team scale</li></ul>
MIHAN New Office Campus Launch Video -</div>

Senior Software Engineer - NodeJS (Founding Engineer)

PEARL

Industry: 
Technical
 
Work Arrangement: 
Fully Remote with EST time zone overlap
 
Job Type: 
Full-time
 
Work Schedule: 
Monday to Friday, 9:00 AM – 6:00 PM EST
 
Locations: 
Anywhere Remote: 
<ul>
<li>LATAM: Brazil, Argentina, Colombia, etc.</li>
<li>AFRICA: Egypt, Algeria, Morocco, etc.</li>
<li>ASIA: Philippines, Indonesia, Malaysia, etc.</li>
<li>Other remote regions with strong English communication and relevant design experience</li>
</ul>
About Pearl Talent: 
Pearl works with the top 1% of candidates from around the world and connects them with the best startups in the US and EU. Our clients have raised over $5B in aggregate and are backed by companies like OpenAI, a16z, and Founders Fund. They’re looking for the sharpest, hungriest candidates who they can consistently promote and work with over many years. Candidates we’ve hired have been flown out to the US and EU to work with their clients, and even promoted to roles that match folks onshore in the US.
 Hear why we exist, what we believe in, and who we’re building for: WATCH HERE
 
Why Work with Us?: 
At Pearl, we’re not just another recruiting firm—we connect you with exceptional opportunities to work alongside visionary US and EU founders. Our focus is on placing you in roles where you can grow, be challenged, and build long-term, meaningful careers.
 
About the Company: 
Our client is a technology-driven company building intelligent, scalable web applications that integrate modern AI capabilities into real-world products. Operating in the AI-powered software and technology space, the company focuses on delivering high-performance, data-backed solutions through strong engineering foundations. The team works closely across engineering and data functions to bring production-ready AI features to market.
 
Role Overview: 
This Senior Full-Stack Engineer role is responsible for owning the architecture, development, and production readiness of AI-enabled web applications. The role spans backend systems, frontend interfaces, and cloud infrastructure, with a strong emphasis on reliability and scalability. You will work closely with data scientists to productionize machine learning models and integrate them into customer-facing features. The work is hands-on, execution-focused, and highly autonomous. This role is ideal for a senior engineer who thrives in ownership-heavy environments and enjoys building complex systems end to end.
 
Your Impact: 
You will play a critical role in bringing AI-powered features from concept to production. Your work will directly influence system scalability, application performance, and reliability in live environments. By partnering closely with data science, you will enable machine learning models to deliver real business value. You will help shape engineering standards, improve deployment workflows, and ensure the platform can scale with growing user demand. Your contributions will directly support product innovation and long-term technical sustainability.
 
Core Responsibilities: 
Full-Stack Architecture & Development
 <ul>
<li>Architect and build scalable full-stack applications using Django, React, and PostgreSQL.</li>
<li>Design, implement, and maintain secure, well-documented APIs.</li>
<li>Own backend business logic and frontend implementations for complex features.</li>
<li>Optimize application performance, reliability, and scalability in production.</li>
</ul>
AI & Machine Learning Integration
 <ul>
<li>Integrate machine learning models into production web applications.</li>
<li>Collaborate with data science teams to operationalize AI-driven features.</li>
<li>Deploy, monitor, and support ML models using AWS services.</li>
<li>Maintain real-time or batch inference pipelines.</li>
</ul>
Cloud Infrastructure & Deployment
 <ul>
<li>Deploy and manage applications using AWS services including Lambda, ECS, and SageMaker.</li>
<li>Monitor production systems and troubleshoot reliability or performance issues.</li>
<li>Improve cloud architecture and deployment workflows as the platform scales.</li>
<li>Enforce best practices around security, observability, and uptime.</li>
</ul>
Technical Leadership & Collaboration
 <ul>
<li>Lead code reviews and uphold engineering best practices.</li>
<li>Mentor junior and mid-level engineers across frontend and backend work.</li>
<li>Participate in architectural planning and technical decision-making.</li>
<li>Collaborate cross-functionally during EST working hours.</li>
</ul>
Requirements: 
Key Requirements: 
Must-Haves (Required): 
<ul>
<li>5+ years of full-stack engineering experience using Python/Django and React.</li>
<li>Strong experience with PostgreSQL database design and performance optimization.</li>
<li>Hands-on experience deploying machine learning models in production environments.</li>
<li>Proficiency with AWS for web and AI application deployment.</li>
<li>Ability to work autonomously and own complex systems end to end.</li>
<li>Availability to work consistently during EST business hours.</li>
<li>Excellent written and verbal English communication skills.</li>
</ul>
Nice-to-Haves (Preferred): 
<ul>
<li>Experience with MLOps practices such as model versioning and inference pipelines.</li>
<li>Familiarity with Docker, Kubernetes, and CI/CD tooling.</li>
<li>Strong understanding of system scalability, security, and performance optimization.</li>
<li>Experience in high-ownership, startup, or fast-scaling engineering environments.</li>
</ul>
Tools Proficiency: 
Must-Haves (Required): 
<ul>
<li>Python</li>
<li>Django</li>
<li>React</li>
<li>HTML5</li>
<li>CSS</li>
<li>PostgreSQL</li>
<li>AWS</li>
<li>AWS Lambda</li>
<li>AWS ECS</li>
<li>AWS SageMaker</li>
</ul>
Nice-to-Haves (Preferred): 
<ul>
<li>Docker</li>
<li>Kubernetes</li>
<li>CI/CD tools</li>
<li>MLOps tooling</li>
</ul>
Benefits: 
<ul>
<li>Competitive Salary: Based on experience and skills</li>
<li>Remote Work: Fully remote—work from anywhere</li>
<li>Performance Bonus: Based on data accuracy, reporting timeliness, and overall sales efficiency</li>
<li>Team Incentives: Recognition for maintaining 100% CRM hygiene and on-time reporting</li>
<li>Generous PTO: In accordance with company policy</li>
<li>Health Coverage for PH-based talents: HMO coverage after 3 months for full-time employees</li>
<li>Direct Mentorship: Guidance from international industry experts</li>
<li>Learning & Development: Ongoing access to resources for professional growth</li>
<li>Global Networking: Connect with professionals worldwide</li>
</ul>
Our Recruitment Process: 
<ul>
<li>Application</li>
<li>Screening</li>
<li>Skills Assessment</li>
<li>Top-grading Interview</li>
<li>Client Interview</li>
<li>Job Offer</li>
<li>Client Onboarding</li>
</ul>
Ready to Join Us?: 
If this role aligns with your skills and goals, apply now to take the next step in your journey with Pearl.

Senior Full-Stack Engineer - A226

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