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