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 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 
  

 

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) 
  
• Node.js: Expert-level knowledge with Express.js, 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.