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Senior Software Engineer (Gen AI) at Velotio Technologies. About Velotio:. Velotio Technologies is a product engineering company working with innovative startups and enterprises. We are a certified . Great Place to Work®. and recognized as one of the best companies to work for in India. 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.. We are looking for a highly skilled . Senior Software Engineer (Gen AI). with strong expertise in designing, developing, and deploying Generative AI agents on AWS Cloud, focusing on high-scale, production-ready solutions. The ideal candidate should have hands-on experience with AI frameworks, cloud architecture, and application development, and must hold a valid AWS certification. This role involves working with cross-functional teams to build robust AI systems, mentoring development teams, and effectively communicating complex technical concepts to stakeholders.. 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.. . Communication & Mentoring. . Present complex technical concepts and AI solutions to executive stakeholders and technical teams. . Lead technical workshops and training sessions on GenAI best practices and implementation strategies. . Mentor development teams on AI integration, cloud architecture, and modern development practices. . Collaborate with cross-functional teams to align technical solutions with business objectives. . Qualifications. . 5+ 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. . Desired Skills & Experience:. . Domain Knowledge: Experience in Telco or Banking industries is highly valued. . AWS Certifications: Machine Learning Specialty certification. . Advanced Terraform: Experience with complex infrastructure automation and multi-environment deployments. . Security: Understanding of enterprise security patterns and compliance requirements. . Performance Optimization: Experience with system performance tuning and cost optimization. . Company Location: India.