Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Number of years of experience: 5 to 8 years
Location: Chennai, Vellore, Tamil Nadu, Bengaluru; you will be required to come to Chennai once a month.
Remote based: Remote
Permanent full time
Core working hours: 5.00pm-10pm IST time
Starting date: (1 to 30 days of notice period)
We are looking for a visionary and Senior AI Full Stack Engineer to drive the development of the next-generation AI platforms. You will be responsible for leading the architectural direction, mentoring engineers, and shipping production-grade LLM applications.
Fullstack Execution
- Implement scalable features using React.js/Next.js for the frontend and Python (FastAPI) or Node.js for backend services.
AI Pipeline Orchestration
- Build and optimize LLM pipelines, moving seamlessly from experimental notebooks to high-availability production environments.
System Design
- Architect microservices and API frameworks that support high-concurrency AI workloads.
Prompt Engineering
- Develop advanced prompt frameworks and strategies to enhance model accuracy and reliability.
Evaluation & Optimization
- Conduct rigorous model evaluations, performance tuning, and implement RAG (Retrieval-Augmented Generation) systems.
Infrastructure
- Design and implement CI/CD pipelines specifically tailored for AI systems, ensuring automated testing of both code and model outputs.
Candidate requirements
- Experience: 5+ years of software engineering experience, with at least 2+ years in a technical leadership role.
- Frontend expert-level skills in React.js, Next.js, and TypeScript.
- Backend strong experience in Python (FastAPI) and/or Node.js.
- AI/ML Implementation: Proven track record of deploying LLM or GenAI applications in a production setting.
- Cloud & DevOps: Solid knowledge of AWS (SageMaker, Lambda, ECS, S3), Docker, and Kubernetes.
- Infrastructure as Code: Experience with Terraform, DuploCloud, and CI/CD tools like GitHub Actions.
- Leadership: Ability to lead code reviews, mentor junior developers, and uphold elite engineering standards.
- Experience with fine-tuning or training proprietary LLMs.
- Familiarity with AI orchestration frameworks like LangChain or LlamaIndex.
- Background in A/B testing, experimentation frameworks, or contributions to open-source AI projects.