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Solutions Architect (GenAI) at Velotio Technologies. Velotio Technologies is a product engineering company working with innovative startups and enterprises. We have provided full-stack product development for 110+ startups across the globe, building products in the cloud-native, data engineering, B2B SaaS, IoT & Machine Learning space. Our team of 400+ elite software engineers solves hard technical problems while transforming customer ideas into successful products.. Roles and Responsibilities:. Agent Development & Deployment. . Design and execute end-to-end deployment strategies for Generative AI agents on AWS Cloud infrastructure.. . Architect high-scale, production-ready AI solutions capable of handling enterprise-level workloads.. . Implement and optimize various AI frameworks (LangChain, CrewAI, AutoGen, Llamaindex) for specific use cases.. . Develop sophisticated prompt engineering techniques and fine-tuning strategies for optimal AI performance. . . High-Scale Architecture & Development. . Design and implement scalable, fault-tolerant architectures for AI applications handling millions of requests.. . Build full-stack applications using modern development practices and cloud-native technologies.. . Create robust microservices architectures with proper load balancing, auto-scaling, and disaster recovery.. . Implement event-driven architectures and serverless patterns for optimal performance and cost efficiency. . . Technical Leadership & Implementation. . Develop comprehensive REST APIs for AI agent interactions with proper authentication, rate limiting, and monitoring.. . Design and optimize database architectures for AI workloads, including vector databases and traditional RDBMS.. . Implement Infrastructure as Code using Terraform for consistent and repeatable deployments.. . Create automated CI/CD pipelines for seamless AI model deployment and updates.. Requirement and Qualification:. . . . 8+ years of experience in cloud architecture and application development with focus on scalable systems.. . 1+ years of hands-on experience with Generative AI, LLMs, and AI agent frameworks.. . Expert-level proficiency in both Python and Node.js with demonstrated production experience.. . Strong understanding of REST API design, implementation, and best practices.. . Comprehensive knowledge of database concepts including SQL, NoSQL, and vector databases.. . Beginner to intermediate proficiency in Terraform for infrastructure automation.. . Excellent communication skills with proven ability to present to technical and non-technical audiences.. . Experience mentoring development teams and providing technical guidance.. .  . Technical Expertise. . AI Frameworks: Hands-on experience with LangChain, CrewAI, AutoGen, Llamaindex, and similar frameworks.. . Prompt Engineering: Advanced understanding of prompt techniques, few-shot learning, and chain-of-thought reasoning.. . AWS Services: Deep knowledge of AWS services including SageMaker, Bedrock, Lambda, ECS, RDS, and CloudFormation.. . High-Scale Architecture: Experience designing systems that handle high throughput and concurrent users.. . Database Systems: Proficiency with PostgreSQL, MongoDB, Redis, and vector databases.. . Development Tools: Experience with Docker, Kubernetes, Git, and modern development frameworks.. . Bonus points if you.... . Domain Knowledge: Experience in Telco and Banking industries is highly valued.. . AWS Certifications: Solutions Architect Professional or Machine Learning Specialty certification.. . Advanced Terraform: Experience with complex infrastructure automation and multi-environment deployments.. . Security: Understanding of enterprise security patterns and compliance requirements.. . Company Location: India.