Experience: 2+ years Location: India ( Remote) Employment Type: Full-time We are seeking a passionate and skilled AI Engineer with a strong foundation in Python, AWS services, and experience building applications using LangChain and modern AI/ML frameworks. The ideal candidate should be excited to work on innovative AI-driven solutions, especially in the area of Retrieval-Augmented Generation (RAG) , LLM orchestration , and scalable serverless architectures. Key Responsibilities Design, develop, and deploy AI-powered applications using Python , LangChain , and LLMs Build scalable backend services and microservices using AWS serverless technologies (e.g., Lambda, DynamoDB, S3, API Gateway, Step Functions). Develop custom pipelines for document ingestion , embedding , vector databases , and RAG-based systems . Integrate third-party APIs, open-source libraries, and foundation models (FMs) for real-world problem solving. Collaborate with cross-functional teams to understand business requirements and translate them into technical implementations. Optimize model performance, cost, and latency for production workloads. Stay up-to-date with the latest developments in AI/ML, LLM tooling, and cloud-native AI infrastructure. Required Skills & Experience 2+ years of hands-on experience as a Python Developer or AI/ML Engineer. Strong programming skills in Python , including libraries like pandas, NumPy, FastAPI, etc. Experience working with LangChain , LLMs , and vector databases (e.g., Pinecone , FAISS , Weaviate , Amazon OpenSearch ). Good understanding of LLM orchestration , prompt engineering, and RAG patterns. Hands-on experience with AWS services such as Lambda, S3, DynamoDB, Bedrock, SageMaker, API Gateway. Familiarity with CI/CD , containerization ( Docker ), and DevOps principles is a plus. Exposure to frontend frameworks like React/Next.js is a bonus. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field. Experience in building real-world generative AI applications or prototypes. Knowledge of vector search algorithms and embeddings (e.g., OpenAI embeddings, Hugging Face Transformers). Familiarity with tools like LangGraph , LlamaIndex , or Haystack is a plus. Published projects or GitHub portfolio showcasing AI apps or experiments. Why Join Us? Work on cutting-edge Generative AI products. Collaborate with a high-performing, innovation-driven team. Flexible remote work environment and learning opportunities. Be part of a mission to bring AI solutions to real-world business challenges. Show more Show less
Position Overview: As the Commercial Lead with an SDR focus, you will be instrumental in managing customer and partner relationships, driving business development initiatives, and supporting sales activities to achieve revenue targets. Leveraging your keen understanding of sales development principles, you will play a pivotal role in generating leads, qualifying opportunities, and nurturing prospects through the sales funnel, while also fostering strong relationships with existing customers and partners. Key Responsibilities: Lead Generation & Prospecting: Utilize various channels, including cold outreach, email campaigns, and LinkedIn campaigns, to generate leads and identify potential opportunities for business growth. Conduct research to identify key decision-makers within target organizations and initiate meaningful conversations to uncover business needs and pain points. Customer & Partner Relationship Management: Serve as the primary point of contact for customers and partners, nurturing relationships through proactive communication, strategic engagement, and exceptional customer service. Understand customer and partner objectives, challenges, and priorities, and collaborate with internal teams to deliver tailored solutions that drive value and foster long-term partnerships. Business Development & Sales Support: Qualify leads and opportunities to ensure alignment with business objectives and sales criteria, and support sales teams in advancing prospects through the sales funnel. Manage the sales pipeline, including lead tracking, opportunity analysis, and proposal development, to facilitate efficient sales processes and maximize revenue potential. Provide feedback to the marketing team on the effectiveness of lead generation campaigns and contribute ideas for improving lead quality and quantity. Customer Success & Retention: Drive customer satisfaction and retention by proactively addressing customer needs, resolving issues in a timely manner, and ensuring a positive customer experience. Conduct regular check-ins with customers to gather feedback, assess satisfaction levels, and identify opportunities for improvement or expansion of services. Collaborate with the customer success team to develop strategies for increasing customer lifetime value and reducing churn. Marketing Campaign Contribution: Collaborate with marketing teams to support the development and execution of targeted campaigns, leveraging customer insights and market knowledge to create compelling messaging and collateral. Participate in events, webinars, and other marketing activities to showcase Cloud202's capabilities, engage with prospective customers and partners, and enhance brand awareness. Provide insights and feedback from customer interactions to inform marketing strategies and refine messaging to better resonate with target audiences. Qualifications: Bachelor's degree in Business Administration, Marketing, or related field. Demonstrated ability to drive business development and support sales initiatives, including lead qualification, lead generation, opportunity analysis, and proposal development. Proven experience in sales development or a related role, with a track record of generating leads, qualifying opportunities, and driving revenue growth. Strong understanding of sales development principles and methodologies, with proficiency in leveraging various sales tools and techniques to achieve targets. Comfortable with cold calling, cold outreach, LinkedIn campaigns, and other lead generation strategies to generate new sales leads. Exceptional communication, negotiation, and interpersonal skills, with the ability to build rapport with prospects, customers, and partners. Entrepreneurial mindset with a proactive approach to problem-solving and a passion for driving business success through customer engagement and collaboration. Ability to thrive in a fast-paced environment, multitask effectively, and adapt to changing priorities and business needs.
About Cloud202 Cloud202 is an AWS Advanced Services and Differentiated Software Partner specializing in Generative AI-driven modernization and cloud transformation. We serve startups and SMBs primarily in the UKI region, helping them leverage AWS Cloud capabilities through our proprietary AI accelerator platform, Our AI Delivery & Ops platform, and comprehensive consulting services. Role Overview We are seeking an experienced Delivery Head - Cloud & AI to lead technical project delivery for our growing portfolio of cloud migration, AI implementation, and modernization projects. This role requires a seasoned professional who can bridge the gap between complex technical requirements and successful project outcomes while managing distributed teams and client relationships. Key ResponsibilitiesProject Delivery & Management Lead end-to-end delivery of complex cloud migration, AI implementation, and modernization projects for UKI startups and SMBs Oversee technical delivery of the key sales plays: WAFR with GenAI Lens, Migration & Modernization, GenAI Projects using Our AI Delivery & Ops platform Coordinate with cross-functional teams including sales, customer success, and technical teams to ensure seamless project execution Establish and maintain project governance frameworks, ensuring adherence to timelines, budgets, and quality standards Technical Leadership Design and architect cloud solutions leveraging AWS services (Bedrock, SageMaker, CloudFormation, EKS) aligned with customer requirements Drive Our AI Delivery & Ops platform adoption and customization for client-specific AI use cases and industry requirements Lead technical assessments and provide recommendations for cloud optimization, cost efficiency, and performance improvements Ensure compliance with AWS Well-Architected Framework principles and security best practices Mentor and guide junior technical team members and offshore development teams Client & Stakeholder Management Serve as primary technical point of contact for key enterprise clients during project delivery phases Conduct technical workshops and training sessions for client teams on AWS cloud services and AI implementations Manage stakeholder expectations and provide regular project updates to both internal leadership and external clients Drive customer satisfaction and ensure successful project outcomes that lead to long-term partnerships Strategic Initiatives Contribute to business development by providing technical input for proposals and solution design Develop reusable frameworks and best practices for rapid project delivery and scalability Stay current with emerging technologies and integrate relevant innovations into project delivery methodologies Required QualificationsTechnical Expertise 8+ years of experience in cloud project delivery, with minimum 5 years focused on AWS cloud services Strong expertise in AWS services including EC2, S3, Lambda, CloudFormation, EKS, Bedrock, SageMaker, and other AI/ML services Proven experience with Generative AI implementation, LLM deployment, and AI model optimization Hands-on experience with cloud migration methodologies, modernization frameworks, and DevOps practices Proficiency in Infrastructure as Code (CloudFormation or Terraform) and containerization technologies Understanding of AI governance , model selection, and scalability considerations for enterprise environments Project Management & Leadership Demonstrated experience managing multiple complex technical projects simultaneously Strong leadership skills with experience managing distributed teams across different time zones Excellent stakeholder management abilities with both technical and business audiences Experience with Agile/Scrum methodologies and modern project management tools Industry & Compliance Knowledge AWS certifications required: Solutions Architect Professional, DevOps Engineer Professional, or equivalent Experience with compliance frameworks including SOC2, ISO27001, GDPR considerations for cloud implementations Understanding of cost optimization strategies and FinOps principles for cloud environments Knowledge of industry-specific requirements for startups and SMB cloud adoption challenges Preferred Qualifications Previous experience working with UKI market clients and understanding of regional business requirements Advanced degree in Computer Science, Engineering, or related technical field Key Performance Indicators Project delivery success rate (on-time, on-budget, meeting quality standards) Customer satisfaction scores (CSAT) maintaining >4.5/5.0 average Revenue delivery against assigned project portfolio targets Team efficiency metrics including resource utilization and delivery velocity Client retention and expansion rates for managed accounts What We Offer Competitive salary with performance-based bonuses Comprehensive benefits package including health insurance and professional development budget AWS training and certification support with full expense coverage Flexible working arrangements with remote/hybrid options Career growth opportunities in a rapidly expanding AWS partner organization Direct collaboration with AWS field teams and access to partner resources
Job Title : AWS Engineer Location : Remote Job Type : Full-Time About Us: Cloud202 Limited is a leading technology consulting company dedicated to helping businesses transform and innovate through cutting-edge technology solutions. We specialize in cloud migration, AI/ML, and application development, providing our clients with the expertise they need to stay ahead in a rapidly evolving digital landscape. Position Overview We are seeking an experienced AWS Engineer to join our cloud infrastructure team. The ideal candidate will have deep expertise in AWS services, cloud architecture design, and application modernization strategies. This role requires hands-on experience with enterprise-scale cloud deployments and the ability to drive digital transformation initiatives. Required Qualifications Experience Minimum 3+ years of hands-on experience with AWS cloud services and infrastructure Proven track record of designing and implementing scalable, secure, and cost-effective cloud solutions Experience with enterprise-level cloud migrations and modernization projects Certifications AWS Professional-level certification required, such as: AWS Certified Solutions Architect – Professional (Preferred) AWS Certified DevOps Engineer – Professional AWS Certified Advanced Networking – Specialty Additional AWS certifications are a plus Technical Skills Core AWS Services: EC2, S3, VPC, IAM, CloudFormation, CloudWatch, Lambda, RDS, ECS/EKS Infrastructure as Code: Terraform, AWS CDK, CloudFormation Containerization: Docker, Kubernetes, Amazon EKS, Amazon ECS CI/CD Pipelines: Jenkins, GitLab/GitHub CI/CD Monitoring & Logging: CloudWatch, AWS X-Ray, ELK Stack, Prometheus, Grafana Networking: VPC design, security groups, load balancers, API Gateway Security: AWS Security best practices, encryption, compliance frameworks Scripting: Python, Bash, PowerShell Preferred Specializations Cloud Architecture Design and implement well-architected cloud solutions following AWS Well-Architected Framework Multi-account AWS Organizations setup and governance Hybrid cloud connectivity and integration patterns Cost optimization strategies and FinOps practices High availability and disaster recovery planning Application Modernization Legacy application assessment and modernization strategy development Microservices architecture design and implementation Serverless computing with AWS Lambda, API Gateway, and event-driven architectures Database modernization including migration from on-premises to AWS RDS, Aurora, or DynamoDB Containerization strategies for legacy applications DevOps transformation and automation implementation Key Responsibilities Architecture & Design Design scalable, secure, and cost-effective AWS cloud architectures Conduct architecture reviews and provide technical guidance to development teams Create and maintain architectural documentation and best practices Evaluate new AWS services and technologies for potential adoption Modernization Leadership Lead application modernization initiatives from assessment through implementation Develop migration strategies for legacy applications to cloud-native architectures Implement DevOps practices and CI/CD pipelines Drive adoption of Infrastructure as Code practices Implementation & Operations Deploy and manage AWS infrastructure using automation tools Implement monitoring, logging, and alerting solutions Optimize cloud costs and resource utilization Ensure security compliance and implement best practices Troubleshoot complex cloud infrastructure issues Collaboration & Leadership Work closely with development teams to enable cloud adoption Mentor junior engineers and share knowledge across the organization Participate in architecture review boards and technical decision-making Collaborate with security and compliance teams to ensure adherence to policies Preferred Experience Experience with multi-cloud or hybrid cloud environments Background in enterprise application modernization projects Knowledge of compliance frameworks (SOC 2, PCI DSS, HIPAA, etc.) Experience with big data and analytics services (EMR, Redshift, Kinesis) Machine learning and AI services experience (SageMaker, Bedrock) Previous consulting or customer-facing experience What We Offer: Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative and inclusive work environment. The chance to work on exciting and innovative projects with leading-edge technologies.
AI Engineer Location: Remote Job Type: Full-Time Experience Level: 3+ years About Us: Cloud202 Limited is a leading technology consulting company dedicated to helping businesses transform and innovate through cutting-edge technology solutions. We specialize in cloud migration, AI/ML, and application development, providing our clients with the expertise they need to stay ahead in a rapidly evolving digital landscape. Position Overview We are seeking an innovative AI Engineer to lead the development and implementation. This role requires deep expertise in Gen-AI ecosystem, including Amazon Bedrock, SageMaker AI, and the emerging AI agents frameworks. The ideal candidate will drive enterprise AI transformation initiatives and build next-generation intelligent applications. Required Qualifications Experience Minimum 3+ years of hands-on experience with AWS cloud services and machine learning infrastructure 2+ years of specific experience with generative AI, large language models (LLMs), and foundation models Proven track record of building and deploying production-scale AI/ML applications on AWS Certifications Preferred: AWS Certified AI Practitioner (when available) Core Technical Skills Gen-AI Services : Amazon Bedrock, SageMaker AI (formerly SageMaker), Amazon Q Developer Foundation Models : Experience with models from Anthropic (Claude), Meta (Llama), OpenAI, Mistral, and other providers. AI Agents Development : Strands Agents SDK, multi-agent systems, agentic workflows Vector Databases: Amazon OpenSearch, Pinecone, or similar for RAG implementations ML Infrastructure: SageMaker endpoints, model hosting, auto-scaling, A/B testing Programming: Python, JavaScript/TypeScript, with focus on AI/ML libraries APIs & Integration : RESTful APIs, GraphQL, real-time streaming, webhook integration Prompt Engineering & Optimization : Advanced prompt flows, few-shot learning, chain-of-thought reasoning Knowledge Bases : RAG implementation with enterprise data integration Guardrails & Safety : Content filtering, bias detection, responsible AI practices Custom Model Fine-tuning : Adapting foundation models for domain-specific use cases MCP & A2A: Experience with working on Agent Protocol. AI Agents & Automation Strands Agents SDK: Building AI systems where multiple AI agents work together to solve complex problems, reducing months of work to just hours Amazon Q Developer Integration: Advanced software development automation and transformation capabilities Multi-Agent Orchestration: Designing complex workflows with agent coordination Tool Integration: Building agents that interact with external APIs and services Advanced GenAI Applications Retrieval-Augmented Generation (RAG): Enterprise search, document Q&A, knowledge management Content Generation: Text, image, code, and multimedia content creation Conversational AI: Chatbots, virtual assistants, customer service automation Code Generation & Analysis: Automated code review, documentation, and refactoring Data Analysis & Insights: Natural language to SQL, automated reporting Key Responsibilities Solution Architecture & Design Design end-to-end generative AI solutions using AWS services Architect scalable, cost-effective AI pipelines and workflows Implement responsible AI practices and governance frameworks Create technical documentation and best practices for AI implementations Development & Implementation Build production-ready applications using Amazon Bedrock and SageMaker AI Develop custom AI agents using Strands Agents SDK and related frameworks Implement RAG systems with vector databases and knowledge management Create automated workflows for model deployment and monitoring Integrate AI capabilities into existing enterprise applications Model Management & Optimization Evaluate and select appropriate foundation models for specific use cases Implement model versioning, A/B testing, and performance monitoring Optimize model inference costs and latency Handle model updates and migration strategies Ensure compliance with data privacy and security requirements Innovation & Research Stay current with latest AWS AI service releases and capabilities Experiment with emerging AI techniques and frameworks Prototype new use cases and proof-of-concepts Contribute to internal AI strategy and roadmap development Preferred Experience & Skills Industry-Specific Knowledge Experience with industry-specific AI applications (healthcare, finance, retail, etc.) Understanding of compliance requirements (GDPR, HIPAA, SOX, etc.) Knowledge of AI ethics and bias mitigation strategies Advanced Technical Skills MLOps: Model lifecycle management, automated retraining, drift detection Real-time AI: Streaming data processing, low-latency inference Multimodal AI: Text, image, audio, and video processing Edge AI: Model optimization for edge deployment Custom Training: Fine-tuning foundation models with proprietary data Leadership & Collaboration Experience leading AI transformation initiatives Ability to communicate complex AI concepts to non-technical stakeholders Cross-functional collaboration with product, engineering, and business teams Mentoring junior engineers and data scientists Recent Technology Awareness (2025) OpenAI open weight models (gpt-oss-120b, gpt-oss-20b) on AWS Amazon Bedrock prompt flows and visual workflow builders Latest Anthropic Claude models and capabilities AWS Q Developer CLI and developer productivity tools Emerging AI agent frameworks and multi-agent systems Education & Background Bachelor's degree in Computer Science, AI/ML, Mathematics, or related field Continuous learning mindset with active participation in AI communities What We Offer: Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative and inclusive work environment. The chance to work on exciting and innovative projects with leading-edge technologies.
Job Title: Full Stack Developer Location: Remote Job Type: Full-Time Experience Level: Mid-Level (2+ years) About Us Cloud202 an Advanced AWS tier partner, which specialises in delivering comprehensive services and solutions for Artificial Intelligence, cloud migration, modernisation, security, and quantum-safe technology. Cloud202 offers a diverse array of software and professional services meticulously designed to address various cloud migration and security use cases. About the Role We are looking for a talented Full Stack Developer with experience in modern web technologies to join our team. The ideal candidate should have strong front-end and back-end development skills. Cloud: AWS (Lambda, API Gateway, S3, DynamoDB, Amplify Gen2) Frontend: React.js, Next.js, Tailwind CSS, ShadCn Backend: Node.js, MongoDB, DynamoDB and REST APIs Languages: JavaScript, TypeScript Key Responsibilities Develop and maintain scalable web applications using React.js, Next.js, and TypeScript. Build and optimize backend services using Node.js and manage databases like DynamoDB (and MongoDB if needed). Design and develop RESTful APIs using API Gateway to integrate with front-end applications. Ensure performance, security, and scalability of applications. Collaborate with other developers to deliver high-quality software. Troubleshoot, debug, and optimize applications for best performance. Stay updated with the latest industry trends and technologies. Required Skills & Experience 2+ years of experience in full-stack development. Hands-on experience with AWS services such as Lambda, API Gateway, S3, DynamoDB, Amplify Gen2. Proficiency in React.js, Next.js, and TypeScript. Strong styling experience with Tailwind CSS. Backend expertise in Node.js and database management (DynamoDB and MongoDB). Experience with building and consuming REST APIs. Familiarity with version control tools like Git. Good understanding of software development best practices. Nice to Have Experience with serverless architectures. Understanding of CI/CD pipelines. Familiarity with emerging technologies such as GenAI. What We Offer Competitive salary & benefits. Flexible work environment. Opportunities to work on exciting and challenging projects.