Lead Software Engineer - Gen AI

About CloudwickCloudwick, an AWS certified data lake and advanced analytics partner, established in 2010 and headquartered in California, is at the forefront of data-driven transformation. We specialize in empowering organizations to harness their data's potential for profound insights. Our in-house creation, Amorphic Data Platform, drives our commitment to innovation. Visit our website to explore how we are revolutionizing the world of data.Amorphic Data PlatformThe Amorphic Data Platform is our cloud-native foundation for modern data and AI operations. Deployed securely in customers' AWS environments, Amorphic serves as a unified data fabric that automates ingestion, cataloging, access control, and governance—giving agencies a central hub for their data without complex tool integration or infrastructure management.What sets Amorphic apart is its focus on usability and security. With role- and attribute-based access control, comprehensive audit logging, and compliance with standards like HIPAA, CJIS, and NIST 800-53, the platform is trusted by governments to manage their most sensitive workloads.About Amorphic Intelligent Automation SolutionsOur Intelligent Automation solutions eliminate time-consuming, repetitive workflows that burden government agencies. Using AI-powered agents and intelligent document processing, these solutions automate reporting, streamline document intake, route approvals, summarize case files, and more—without requiring staff expansion or system overhauls.About the RoleWe're seeking a hands-on Gen AI Lead Software Engineer who can build production-ready AI solutions on AWS and guide distributed teams while continuously scouting and prototyping emerging AI technologies. You'll join our Product Engineering group, owning end-to-end delivery of next-generation Amorphic AI solutions while mentoring engineers across global teams.ResponsibilitiesTechnical LeadershipLead the integration of cutting-edge AI/LLMs into Amorphic AI Solutions, ensuring seamless interoperability and optimal performanceDesign and architect complex software systems with focus on scalability, maintainability, and performanceArchitect production-grade RAG pipelines and multi-agent orchestration on AWS (Lambda, ECS/Fargate, Bedrock, SageMaker, DynamoDB, S3, EventBridge, Step Functions)Drive the design and implementation of scalable AI pipelinesDevelopment & InnovationDesign, develop, test, and maintain scalable backend applications using Python and AWS servicesStay current with AI advancements through hands-on experimentation with emerging frameworks (LangChain, Hugging Face Transformers, CrewAI) via prototypes and side projectsOptimize AI solution performance focusing on cost-effectiveness, latency, and resource utilizationDevelop strategies for monitoring, maintaining, and improving deployed AI models inproductionTeam LeadershipLead 5-10 engineers through design reviews, pair-programming, and PR feedbackConduct code reviews and design discussions to ensure adherence to best practicesCollaborate with cross-functional teams globally to identify requirements and implement solutionsCreate and maintain comprehensive documentation for architecture, design decisions, and coding practicesRequired QualificationsBE / B.Tech in Computer Science or related field8+ years of experience in software developmentSolid understanding of large language models (LLMs), including experience with prompt engineering, fine-tuning, or integrating LLM APIs (e.g., from OpenAI, Anthropic, or AWS Bedrock)Hands-on experience building AI solutions using latest tools and frameworks (e.g., langchain, crewAI), demonstrated through side projects, open-source contributions, or personal prototypesProven leadership experience in managing and mentoring high-performing teams of software and application developersExceptional proficiency in Python programming languageSolid understanding of AWS ecosystem including Lambda functions, S3 buckets, EMR clusters, DynamoDB tables etc.Proven experience in a leadership role, leading software development teams in the delivery of complex projectsDeep understanding of software architecture and design principles, with a focus on building scalable and maintainable systemsExperience with distributed systems, microservices architecture, and cloud-based solutionsStrong knowledge of software development best practices, including code reviews, testing, and CI/CD pipelinesExperience working with AWS services and developing Cloud Native Applications using REST APIs is must haveExperience working in an agile delivery environment, especially product engineering teams

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