Role Overview:
As an AI Executor/AI Automation Engineer, you will be responsible for designing and integrating AI capabilities into production systems using Python and key ML libraries. This role requires a strong backend development foundation and a proven track record of deploying AI use cases using tools like TensorFlow, Keras, or OpenAI APIs. You'll work cross-functionally to deliver scalable AI-driven solutions.
Key Responsibilities:
- Design and develop backend solutions using Python, with a focus on AI-driven features.
- Implement and integrate AI/ML models using tools like OpenAI, Hugging Face, or Lang Chain.
- Use core Python libraries (NumPy, Pandas, TensorFlow, Keras) to process data, train, or implement models.
- Translate business needs into AI use cases and deliver working solutions.
- Collaborate with product, engineering, and data teams to define integration workflows.
- Develop REST APIs and micro services to deploy AI components within applications.
- Maintain and optimize AI systems for scalability, performance, and reliability.
- Keep pace with advancements in the AI/ML landscape and evaluate tools for continuous improvement.
Required Skills & Qualifications:
- 2+ years of professional experience as an AI/ML Engineer, including strong backend development expertise in Python.
- Proficiency in libraries such as NumPy, Pandas, TensorFlow, and Keras
- Practical exposure to AI platforms/APIs (e.g., OpenAI, LangChain, Hugging Face)
- Solid understanding of REST APIs, micro services, and integration practices
- Ability to work independently in a remote setup with strong communication and ownership
- Excellent problem-solving and debugging capabilities
- Experience with the MERN stack will be an added advantage.

About E2M Solutions Pvt. Ltd.
About
E2M Solutions works as a trusted white-label partner for digital agencies. We support agencies with consistent and reliable delivery through services such as website design, web development, eCommerce, SEO, AI SEO, PPC, AI automation, and content writing.
Founded on strong business ethics, we are an equal opportunity organization powered by 300+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia. At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together.If you’re someone who dreams big and has the gumption to make them come true, E2M has a place for you.
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About Us
AtDrive Infotech is a forward-thinking IT company dedicated to delivering innovative solutions using cutting-edge web technologies. We are passionate about creating intelligent, scalable, and cohesive applications that drive impact. We are seeking skilled Web Developers to join our dynamic team and contribute to transformative projects.
Key Responsibilities
- Design, architect, and develop secure, high-performance, and scalable web solutions.
- Manage the full application lifecycle, including concept, design, development, testing, deployment, release, and ongoing support.
- Create engaging, device-specific user interfaces to enhance user experience.
- Develop and maintain robust APIs to support seamless integration and functionality.
- Participate actively in all phases of the software development lifecycle.
- Provide technical and architectural leadership to development teams.
Qualifications
- Bachelor’s or Master’s degree in Engineering, specializing in Computer Science, Information Technology, or a related field.
- Minimum of 1 year of relevant experience in web design and development.
Desired Skills and Experience
- Core Technical Skills:
- Strong expertise in Angular for building dynamic, client-side applications.
- Proficiency in Node.js for developing scalable server-side applications.
- Advanced knowledge of MySQL for designing and managing relational databases.
- Expertise in API Development for creating secure, efficient, and scalable APIs to support application functionality and third-party integrations.
- Hands-on experience with web technologies: JavaScript, Bootstrap, jQuery, HTML5, CSS, and open-source platforms.
- Proficiency in CSS customization and MVC frameworks.
- Experience with AJAX, XML, and e-commerce platforms.
- AI Knowledge:
- Familiarity with AI concepts and their application in web development (e.g., integrating AI-driven features or APIs).
- Client Communication:
- Exceptional written and verbal communication skills in English, with the ability to effectively collaborate with clients and stakeholders.
- Additional Skills:
- Real-time testing capabilities during development to ensure quality.
- Exposure to client-side technologies like AngularJS is a plus.
- Ability to work independently and collaboratively within a team.
- Strong dedication and commitment to delivering high-quality work.
Personal Attributes
- Thrives in a fast-paced, dynamic environment with a focus on quality and efficiency.
- Strong problem-solving and troubleshooting skills.
- Excellent interpersonal and communication skills (both verbal and written).
- Ability to prioritize and manage multiple tasks to meet tight deadlines.
- Self-motivated with the ability to work with minimal supervision.
- Innovative and proactive approach to problem-solving.
- Flexible and adaptable, with a strong sense of ownership for resolving challenges.
- Capable of multitasking under pressure while maintaining high standards.
Evaluation Criteria
Candidates will be assessed based on the following key parameters:
- Angular Expertise: Demonstrated ability to build robust, dynamic web applications using Angular.
- Node.js Proficiency: Experience in developing efficient, scalable server-side applications.
- MySQL Competence: Strong skills in designing and optimizing relational databases.
- API Development: Proficiency in designing and implementing secure, efficient, and scalable APIs.
- AI Knowledge: Understanding of AI concepts and their practical application in web development.
- Client Communication: Ability to clearly articulate technical concepts and collaborate effectively with clients.
Why Join Us?
If you are passionate about web development, eager to work on challenging projects, and ready to contribute to AtDrive Infotech’s success, we invite you to apply. Join our team and be part of an exciting journey to shape the future of technology!
Apply Now: Share your resume and portfolio to embark on a rewarding career with AtDrive Infotech.
We are looking for a highly skilled AI Platform Engineer to build and scale agentic AI capabilities across our product suite. You’ll work on multi‑agent systems, orchestration platforms, RAG pipelines, and real‑time AI services used in enterprise workflows.
🔹 Key Responsibilities
- Build and maintain AI platform services enabling agentic workflows
- Develop domain-specific agents (proposal generation, compliance, data analysis)
- Implement multi-agent orchestration using LangGraph and related frameworks
- Build APIs, SDKs, and integration layers for product teams
- Design and optimize RAG, GraphRAG, and knowledge ingestion pipelines
- Enhance orchestration platforms, WebSocket communication, and error recovery
- Optimize performance, latency (<3s), cost, and reliability of AI systems
- Collaborate closely with ML engineers and data scientists on models, prompts, and A/B testing
🔹 Required Skills & Experience
- 5+ years of software engineering experience (1–2+ years in AI/ML systems)
- Strong Python (FastAPI, async, LangChain/LangGraph)
- Experience with LLM APIs (OpenAI, Claude, Llama, Phi‑3)
- Hands-on RAG, embeddings, vector databases, and hybrid search
- React + TypeScript experience (WebSockets, hooks, real-time UI)
- Knowledge of multi-agent systems, prompt engineering, and orchestration patterns
- Solid backend fundamentals: REST APIs, databases, auth, testing, Git
🔹 Nice to Have
- MLOps exposure (prompt versioning, monitoring, A/B testing)
- Experience with semantic caching and context management
- Docker and cloud deployment basics
Job Title: AI Developer/Engineer
Location: Remote
Employment Type: Full-time
About the Organization
We are a cutting-edge AI-powered startup that is revolutionizing data management and content generation. Our platform harnesses the power of generative AI and natural language processing to turn unstructured data into actionable insights, providing businesses with real-time, intelligent content and driving operational efficiency. As we scale, we are looking for an experienced lead architect to help design and build our next-generation AI-driven solutions.
About the Role
We are seeking an AI Developer to design, fine-tune, and deploy advanced Large Language Models (LLMs) and AI agents across healthcare and SMB workflows. You will work with cutting-edge technologies—OpenAI, Claude, LLaMA, Gemini, Grok—building robust pipelines and scalable solutions that directly impact real-world hospital use cases such as risk calculators, clinical protocol optimization, and intelligent decision support.
Key Responsibilities
- Build, fine-tune, and customize LLMs and AI agents for production-grade workflows
- Leverage Node.js for backend development and integration with various cloud services.
- Use AI tools and AI prompts to develop automated processes that enhance data management and client offerings
- Drive the evolution of deployment methodologies, ensuring that AI systems are continuously optimized, tested, and delivered in production-ready environments.
- Stay up-to-date with emerging AI technologies, cloud platforms, and development methodologies to continually evolve the platform’s capabilities.
- Integrate and manage vector databases such as FAISS and Pinecone.
- Ensure scalability, performance, and compliance in all deployed AI systems.
Required Qualifications
- 2–3 years of hands-on experience in AI/ML development or full-stack AI integration.
- Proven expertise in building Generative AI models and AI-powered applications, especially in a cloud environment.
- Strong experience with multi-cloud infrastructure and platforms,
- Proficiency with Node.js and modern backend frameworks for developing scalable solutions.
- In-depth understanding of AI prompts, natural language processing, and agent-based systems for enhancing decision-making processes.
- Familiarity with AI tools for model training, data processing, and real-time inference tasks.
- Experience working with hybrid cloud solutions, including private and public cloud integration for AI workloads.
- Strong problem-solving skills and a passion for innovation in AI and cloud technologies
- Agile delivery mythology knowledge.
- CI/CD pipeline deployment with JIRA and GitHub knowledge for code deployment
- Strong experience with LLMs, prompt engineering, and fine-tuning.
- Knowledge of vector databases (FAISS, Pinecone, Milvus, or similar).
Nice to Have
- Experience in healthcare AI, digital health, or clinical applications.
- Exposure to multi-agent AI frameworks.
What We Offer
- Flexible working hours.
- Collaborative, innovation-driven work culture.
- Growth opportunities in a rapidly evolving AI-first environment.
About CoPoint AI
CoPoint AI is a specialized consulting firm focused on transforming businesses through process improvement, data insights, and technology-driven innovation. We leverage AI technologies, Microsoft cloud platforms, and modern web development frameworks to deliver intelligent, scalable solutions that drive measurable impact for our clients. Our team partners across industries to design and deploy solutions that streamline operations, enhance customer experiences, and enable data-driven growth.
Our Vision
We transform businesses through process improvement and data insights leveraging AI on the Microsoft stack
Our Values
- Be Purposeful: Think Straight, Communicate, Always Do The Right Thing
- In Partnership: With our Team, For our Clients, In our communities.
- Create Impact: Deliver value-based solution, help Individual achieve their dream, demand profitable growth.
Role Overview
As a Senior Consultant at CoPoint AI, you will drive end-to-end delivery of both AI-enabled data solutions and modern web applications. You will blend technical expertise in AI, Microsoft platforms, and full-stack web development with business insight to architect and implement impactful solutions across client environments.
Key Responsibilities
- Lead design and implementation of end-to-end data, AI, and web application solutions
- Architect and build responsive, user-friendly web interfaces integrated with enterprise data systems
- Develop and optimize secure, scalable APIs and microservices using cloud-native principles
- Implement AI-powered features in web applications using LLMs, Azure OpenAI, and Cognitive Services
- Guide teams in AI-assisted software development lifecycle improvements
- Build frameworks for responsible AI governance and model monitoring
- Comprehensive understanding of the AI solution landscape
- Leadership experience in AI-enabled digital transformation initiatives
- Expertise in AI adoption strategies and change management
- Ability to translate AI capabilities into measurable business value
- Design multi-model architectures combining analytics, AI, and web experiences
- Act as a subject matter expert in Microsoft Azure and modern web frameworks (e.g., React, Angular, .NET Core)
- Manage project work streams and lead cross-functional delivery teams
- Cultivate and manage client relationships, providing strategic and technical guidance
- Identify and propose innovation opportunities through data and digital experiences
- Mentor junior developers, analysts, and consultants
- Ensure high quality and consistency in solution delivery and user experience
Qualifications
- Deep expertise in Microsoft data technologies (Azure Data Factory, Synapse, Power BI).
- Proven experience implementing enterprise AI solutions on Azure
- Advanced knowledge of large language models and their business applications
- Expertise in AI-enhanced software development methodologies
- Experience with AI model evaluation, validation, and responsible deployment
- Proficiency in developing custom AI solutions using Azure OpenAI, Cognitive Services, and ML services
- Experience integrating AI into existing enterprise applications and data platforms
- Experience managing client expectations and delivering high-quality solutions
- Strong technical leadership and problem-solving capabilities
- Excellent communication and presentation skills
- Ability to anticipate client needs and propose strategic solutions
What should You expect:
- A culture of continuous learning with certification support.
- Clear career advancement pathways.
- Competitive compensation and benefits.
- Flexible work arrangements.
- A collaborative environment that values innovation and creativity.
Ready to shape the future of enterprise technology? Join our team of Microsoft technology experts and make an impact.
About the Role
We are looking for a highly skilled and experienced Full Stack Software Development Engineer to join our team focused on building and enhancing an Agentic AI Framework. You will be instrumental in developing scalable, reliable, and intelligent AI-based systems, contributing across the stack—from front-end interfaces to back-end infrastructure, and cloud deployment pipelines.
This is a dynamic and forward-thinking role, perfect for developers passionate about AI/ML advancements and keen to continuously grow in the evolving landscape of software engineering.
Key Responsibilities
- Design, develop, and maintain scalable and responsive front-end and back-end components of the Agentic AI Framework.
- Implement RESTful and GraphQL APIs for seamless integration across services.
- Optimize performance and ensure high availability across distributed systems.
- Collaborate with cross-functional teams including AI/ML engineers, data scientists, and DevOps.
- Write clean, maintainable, and testable code.
- Contribute to architecture discussions, code reviews, and project planning.
- Keep up-to-date with advancements in AI/ML algorithms, frameworks, and data science practices.
- Act as a primary point of contact for L3/L4 production support, including:
o Debugging and resolving live issues
o Delivering hot patches and quick fixes
o Managing emergency and planned production releases
· Own and operate the release lifecycle including version control, deployment, rollback strategies, and documentation
- Support deployment, monitoring, and scaling efforts using DevOps and cloud infrastructure.
Required Skills
- Front-end: React.js, TypeScript, HTML5, CSS3, Redux, Tailwind or Material UI
- Back-end: Java, Kotlin, Spring Boot, Node.js
- Databases: PostgreSQL, Redis, MongoDB, MySQL
- Architecture: Microservices, API Gateways, Event-driven architecture
- DevOps (Preferred): Docker, Kubernetes, CI/CD (e.g., Jenkins, GitHub Actions), AWS/GCP/Azure
- Testing: JUnit, Jest, Selenium, Postman
- Strong understanding of design patterns, data structures, and algorithms
- Familiarity or keen interest in AI/ML, LLMs, data science tools, and workflows
Nice to Have
- Experience with observability tools (Grafana, Prometheus, ELK stack)
- Japanese language proficiency (not mandatory, but a plus)
Who You Are
- A problem-solver with a proactive mindset
- Able to adapt quickly to new technologies and challenges
- Comfortable working in a fast-paced, innovative environment
- Collaborative with excellent communication skills
Perks & Benefits
- Learning support for AI/ML upskilling
- International and diverse team culture
Work on cutting-edge AI-driven products
Tech Lead
Location: On-site, Panaji, Goa
About Joyful
Joyful is a leading AI-powered stakeholder communication management platform for voice of stakeholder analysis and contact center solutions. Our mission is to use AI to make all interactions between a company and its stakeholders joyful by removing friction. Joyful is a part of Germinait Solutions Pvt. Ltd.
Our Joyful modules, Engage and Listen, help businesses understand and manage stakeholder interactions across digital channels. We enable companies to provide exceptional customer experiences while maximizing the productivity and efficiency of their support teams, all through one seamless platform.
At Joyful, we're committed to fostering meaningful interactions between stakeholders and brands by providing actionable insights, personalized replies, and a joyful experience for customers, users, and employees alike.
The Opportunity
We're seeking a talented Technical Lead who will play a pivotal role in designing, building, and scaling Joyful’s AI-powered products. In this role, you will lead technical architecture decisions, guide the engineering team, and ensure our platform remains robust, scalable, and delightful to use. You’ll work closely with product, design, and business teams to deliver impactful features while maintaining high code quality and performance.
In addition to technical leadership, you’ll champion Vibe Coding—our approach to writing clean, collaborative, and joyful code that engineers love to create and maintain. This means setting the tone for high-quality, maintainable code while fostering an environment where building software is an energizing, shared experience.
What You'll Do
- Technical Leadership & Architecture:
- Lead the design and implementation of scalable, high-performance, and secure software solutions for Joyful’s Engage and Listen platforms.
- Define technical roadmaps, architecture patterns, and coding best practices
- Ensure adherence to software development standards and conduct regular code reviews
- Make critical build-versus-buy and technology adoption decisions
- Team Management & Collaboration:
- Mentor and coach a team of engineers, fostering a culture of learning, ownership, and innovation
- Collaborate with cross-functional teams (product, UX, QA) to align technical solutions with business goals
- Drive agile development practices, including sprint planning, retrospectives, and backlog prioritization
- Identify and resolve bottlenecks in development, deployment, and delivery processes
- Vibe Coding Culture:
- Lead by example in practicing Vibe Coding—writing code that is clean, well-structured, and joyful to work with
- Encourage pair programming, open collaboration, and frequent peer reviews
- Maintain high coding standards while keeping the process creative and energizing for the team
- Promote a development culture where engineers feel motivated, supported, and proud of the work they ship
- Hands-On Development:
- Contribute directly to code when needed—particularly for complex modules, integrations, and performance optimization
- Oversee the development of APIs, microservices, and integrations with third-party platforms
- Ensure robust CI/CD pipelines, test automation, and monitoring systems are in place
- Innovation & Continuous Improvement:
- Stay ahead of emerging technologies in AI, cloud, and enterprise communication platforms
- Propose and implement innovative solutions to improve product performance, security, and maintainability
- Drive proof-of-concepts for new features or architectural improvements
- Ensure systems are designed for high availability, scalability, and disaster recovery
What You'll Need
- 6+ years of professional software development experience, with at least 2 years in a technical leadership role
- Proven expertise in Java (Spring Boot), REST APIs, and microservices architecture
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and container orchestration (Docker, Kubernetes)
- Strong understanding of relational and NoSQL databases
- Experience building scalable, high-availability systems in B2B SaaS or AI-powered products
- Solid knowledge of software design patterns, performance optimization, and security best practices
- Familiarity with frontend technologies (Angular, React, or similar) is a plus
- Excellent communication and stakeholder management skills
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- Passion for AI technologies and building software in a positive, high-energy coding environment
Why Join Joyful?
- Be at the forefront of the AI revolution in stakeholder management
- Lead impactful projects with a culture of Vibe Coding—where high-quality engineering meets great team energy
- Work with a highly skilled and passionate team
- Enjoy significant growth opportunities in a rapidly scaling organization
- A culture that values innovation, ownership, and collaborative problem-solving
- Work from our beautiful office in Goa, combining cutting-edge tech work with a high quality of life
At Joyful, we believe strong technical leadership is key to making every interaction seamless, intelligent, and joyful. If you’re excited about solving complex technical challenges while mentoring teams to deliver exceptional products, we’d love to meet you!
We are building an AI-powered chatbot platform and looking for an AI/ML Engineer with strong backend skills as our first technical hire. You will be responsible for developing the core chatbot engine using LLMs, creating backend APIs, and building scalable RAG pipelines.
You should be comfortable working independently, shipping fast, and turning ideas into real product features. This role is ideal for someone who loves building with modern AI tools and wants to be part of a fast-growing product from day one.
Responsibilities
• Build the core AI chatbot engine using LLMs (OpenAI, Claude, Gemini, Llama etc.)
• Develop backend services and APIs using Python (FastAPI/Flask)
• Create RAG pipelines using vector databases (Pinecone, FAISS, Chroma)
• Implement embeddings, prompt flows, and conversation logic
• Integrate chatbot with web apps, WhatsApp, CRMs and 3rd-party APIs
• Ensure system reliability, performance, and scalability
• Work directly with the founder in shaping the product and roadmap
Requirements
• Strong experience with LLMs & Generative AI
• Excellent Python skills with FastAPI/Flask
• Hands-on experience with LangChain or RAG architectures
• Vector database experience (Pinecone/FAISS/Chroma)
• Strong understanding of REST APIs and backend development
• Ability to work independently, experiment fast, and deliver clean code
Nice to Have
• Experience with cloud (AWS/GCP)
• Node.js knowledge
• LangGraph, LlamaIndex
• MLOps or deployment experience
About the job
1. Develop responsive, user-friendly, and visually appealing web applications using React, Node.js, and Tailwind.
2. Collaborate with the design team to transform mockups into pixel-perfect web applications.
3. Implement UI designs and build reusable components with React and Tailwind.
4. Write clean, efficient, and maintainable code.
5. Troubleshoot and debug issues as they arise.
6. Optimize the application for performance, scalability, and usability.
7. Stay updated with the latest trends and technologies in front-end development.
Skill(s) required
Backend development
Frontend developmen
MySQL
Node.js
React
Tailwind
CSS
Who can apply
Only those candidates can apply who:
1. Have minimum 3 years of experience
Other requirements
1. Bachelor's degree in Computer Science or related field.
2. Minimum 3-4 years of experience in front-end development.
3. Strong proficiency in React, NextJS, HTML, CSS, and JavaScript.
4. Familiarity with Agile development methodologies.
5. Excellent problem-solving abilities and attention to detail.
6. Ability to work collaboratively in a remote team environment.
7. Strong communication skills in English.
Perks
5 days a week
Work from home
Number of openings
2
About Strategy Connect
We, at Strategy Connect, are building a B2B SaaS solution for strategy consulting companies to manage their teams and workflows. We are a Dubai-based & well-funded company that has been a part of TechStars. We are working with Government entities in the UAE. Our development and design functions are based out of India.
Job Summary:
We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.
Responsibilities:
AI Strategy Development:
- Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
- Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.
Solution Design:
- Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
- Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
- Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.
Data Management:
- Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
- Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.
AI Model Development:
- Lead the development and deployment of AI and machine learning models.
- Implement best practices for model training, testing, and validation.
- Monitor and optimize model performance to ensure accuracy and efficiency.
Microservices Architecture:
- Define and implement microservices architecture patterns and best practices.
- Ensure that microservices are designed for scalability, flexibility, and resilience.
- Collaborate with development teams to build and deploy microservices-based applications.
Monitoring Systems:
- Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
- Implement proactive alerting and reporting mechanisms to identify and address issues promptly.
Integration and Deployment:
- Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
- Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.
Compliance and Security:
- Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
- Implement security measures to protect AI models, data, and microservices.
Stakeholder Communication:
- Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
- Translate technical concepts into non-technical language for various audiences.
Research and Innovation:
- Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
- Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.
Requirements:
- Bachelor's or Masters degree in computer science, Data Science, or a related field.
- Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
- Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
- Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
- Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
- Excellent communication and interpersonal skills.
- Ability to lead cross-functional teams and drive innovation.
- Strong problem-solving and critical-thinking abilities.
- Knowledge of regulatory requirements and data privacy standards related to AI and microservices.
Preferred Qualifications:
- AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
- Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
- Previous experience with enterprise architecture frameworks (e.g., TOGAF).
This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.
We are looking for an AI Architect to join our team.
Responsibilities
- Architecture Design: Develop scalable and efficient AI architectures.
- Technical Guidance: Provide expertise and guidance to development teams.
- System Integration: Collaborate to integrate AI technologies into systems.
- Performance Optimization: Optimize AI models and infrastructure.
- Data Management: Manage large datasets for AI training.
- Ethical Considerations: Address ethical and privacy concerns.
- Technical Documentation: Create comprehensive technical documentation.
- Collaboration and Communication: Collaborate with stakeholders.
- Problem-Solving: Analyze and troubleshoot technical issues.
- Continuous Learning: Stay updated with AI advancements.
Requirements
- Education: Bachelors or masters degree in computer science or related field.
- Experience: 8+ years of experience with 3+ years as an architect. Extensive experience in Gen AI and LLM technologies, including exposure to open source LLMs is a must.
- Technical Expertise: Proficiency in NLP, machine learning, and deep learning. Familiarity with open source LLM frameworks like GPT-3/4 or similar models.
- Architectural Design: Ability to design scalable and efficient AI architectures.
- System Integration: Skill in integrating AI technologies, including open source LLMs, into new or existing systems.
- Performance Optimization: Experience in optimizing AI models and systems, including open source LLMs, for efficiency.
- Data Management: Knowledge of handling large datasets for Gen AI and LLM training, including open source LLMs.
- Ethical Considerations: Understanding of AI ethics and privacy concerns, particularly relevant to open source LLMs.
- Collaboration and Communication: Strong teamwork and communication skills.
- Problem-Solving: Aptitude for troubleshooting and resolving technical challenges related to open source LLMs.
- Continuous Learning: Willingness to stay updated with advancements in Gen AI, LLMs, and open source LLM technologies.












