Gen AI Lead

Role Overview: GenAI Lead

Location: Bangalore, India​

The Gen AI Lead drives the end-to-end deployment of Generative AI agents on AWS Cloud, focusing on high-scale, production-ready solutions. This role combines deep technical expertise in AI frameworks, cloud architecture, and application development to deliver scalable GenAI solutions. The architect will work with cross-functional teams to design and implement robust AI systems while mentoring development teams and presenting complex technical concepts to stakeholders.

Key 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
  

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
  

Requirements

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 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
  

Preferred Skills

• 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
  

Technical Competencies

• Programming & Development
  
• Python: Advanced proficiency with AI/ML libraries (transformers, langchain, fastapi, pandas)
  
• Expert-level knowledge with , TypeScript, and modern JavaScript frameworks
  
• API Development: RESTful services, GraphQL, webhook implementations, and API gateway patterns
  
• Database Management: Query optimization, indexing strategies, and database performance tuning
  

Cloud & Infrastructure

• AWS Cloud: Comprehensive understanding of AWS services and best practices
  
• Terraform: Infrastructure as Code implementation and management
  
• Containerization: Docker and Kubernetes for scalable deployments
  
• Monitoring: CloudWatch, Prometheus, and custom monitoring solutions
  

AI & Machine Learning

• GenAI Frameworks: Production implementation of various AI agent frameworks
  
• Performance Optimization: Techniques to optimize the performance of prompt and LLMs
  
• Vector Operations: Embedding generation, similarity search, and vector database optimization
  
• Prompt Engineering: Advanced techniques for optimizing AI responses and behavior
  
  

Soft Skills & Leadership

• Presentation Skills: Ability to create compelling technical presentations for various audiences
  
• Team Mentoring: Experience guiding junior developers and technical teams
  
• Problem Solving: Strong analytical thinking and troubleshooting capabilities
  
• Communication: Clear technical writing and documentation skills
  

Project Management: Ability to manage complex technical projects and deliverables

• Ability to work in ambiguity
  
• Ability to take ownership
  

Benefits What We Offer

• An opportunity to be part of an agile, highly proficient and experienced AI/ML team
  
• An opportunity to work on challenging data science and machine learning problems with customers and seeing your work deployed in action
  
• A fast-paced software development environment that uses the latest open-source tools across the development stack
  

Benefits

​

We provide a competitive salary and benefits package, a vibrant work environment, and numerous opportunities for professional growth. You'll have the opportunity to work with a team of industry experts on exciting projects that transform businesses and create significant value. Join us to revolutionize the way companies leverage technology for digital transformation.

​

OnebyZero is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

---