Lead GenAI Engineer

We're seeking hands-on Lead Engineers 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.
The core responsibilities for the job include the following:
Technical Leadership:
Lead the integration of cutting-edge AI/LLMs into Amorphic AI Solutions, ensuring seamless interoperability and optimal performance.
Design and architect complex software systems with a focus on scalability, maintainability, and performance.
Architect production-grade RAG pipelines and multi-agent orchestration on AWS (Lambda, ECS/Fargate, Bedrock, SageMaker, DynamoDB, S3 EventBridge, and Step Functions).
Drive the design and implementation of scalable AI pipelines.
Development and Innovation:
Design, develop, test, and maintain scalable backend applications using Python and AWS services.
Stay current with AI advancements through hands-on experimentation with emerging frameworks (LangChain, Hugging Face Transformers, CrewAI) via prototypes and side projects.
Optimize AI solution performance, focusing on cost-effectiveness, latency, and resource utilization.
Develop strategies for monitoring, maintaining, and improving deployed AI models in production.
Team Leadership:
Lead 5-10 engineers through design reviews, pair programming, and PR feedback.
Conduct code reviews and design discussions to ensure adherence to best practices.
Collaborate with cross-functional teams globally to identify requirements and implement solutions.
Create and maintain comprehensive documentation for architecture, design decisions, and coding practices.
Requirements:
BE / B. Tech in Computer Science or a related field.
8+ years of experience in software development.
Solid 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 the latest tools and frameworks (e. g., LangChain, CrewAI), demonstrated through side projects, open-source contributions, or personal prototypes.
Proven leadership experience in managing and mentoring high-performing teams of software and application developers.
Exceptional proficiency in the Python programming language.
Solid understanding of the 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 projects.
Deep understanding of software architecture and design principles, with a focus on building scalable and maintainable systems.
Experience with distributed systems, microservices architecture, and cloud-based solutions.
Strong knowledge of software development best practices, including code reviews, testing, and CI/CD pipelines.
Experience working with AWS services and developing cloud-native applications using REST APIs is a must-have.
Experience working in an agile delivery environment, especially with product engineering teams.

Experience
8-12 yrs