AI First - Senior Software Engineer

Role Overview:

We are seeking a AI Full Stack Developer who combines deep technical expertise with strong leadership capabilities. In this role, you will design, execute technical strategy and develop the GenAI architecture. This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients .

Contract Type: Full Time.

Location: Remote – Anywhere in Tamil Nadu(India)/Sri Lanka

Key responsibilities  : Hands-On Development 

• Design and lead the GenAI architecture, making key decisions on model selection, pipeline design, and scalability.
• Experience in project Sizing and Estimation
• Define and execute the technical strategy and roadmap for AI/ML initiatives.
• Lead architectural reviews and ensure engineering excellence across the stack.
• Mentor and guide a team of Full-Stack and AI engineers.
• Establish best practices for LLM development, evaluation, and deployment.
• Hands-On Development
• Build and optimize LLM pipelines from experimentation to production.
• Develop advanced prompt engineering frameworks and strategies.
• Implement Full-Stack features using React.js/Next.js and Python/Node.js backends.
• Conduct rigorous model evaluations and performance optimizations.
• Design and implement CI/CD pipelines for AI systems.
• Infrastructure & Operations
• Architect and maintain AWS-based infrastructure for AI workloads.
• Use Terraform and DuploCloud to implement infrastructure as code.
• Ensure system reliability, security, and cost optimization.
• Build monitoring and observability tools for LLM applications.
• Candidate requirements 
• 7-9 years of software engineering experience
• Strong Full-Stack development skills using React.js, Next.js, and TypeScript.
• Experience working on Agile development projects.
•  Experience in using Jira and Jira reporting.
• Proficiency in Python (FastAPI) and/or Node.js for backend services.
• Hands-on experience building and deploying LLM or GenAI applications in production.
• Deep understanding of prompt engineering, LLM evaluation, and RAG systems.
• Solid knowledge of AWS (SageMaker, Lambda, ECS, S3, etc.), Docker, and Kubernetes.
• Experience with Terraform, DuploCloud, and CI/CD pipelines (GitHub Actions or similar).
• Strong system design, API architecture, and microservices background.
• Proven ability to lead cross-functional teams, review code, and uphold high engineering standards. 

• Competitive Compensation aligned with your experience
• Enterprise-Scale Impact: Work on AI-integrated systems
• High Ownership: Architectural influence and hands-on execution
• Global Collaboration: India, Sri Lanka, U.S., Mexico
• Remote-First Culture with flexible work arrangements
• Career Growth Opportunities in a fast-evolving AI environment