Description

• Take ownership of architecture design and development of scalable and distributed software systems.
• Translate business to technical requirements
• Own technical execution, ensuring code quality, adherence to deadlines, and efficient resource allocation
• Data driven decision making skills with focus on achieving product goals
• Design, develop and deploy LLM based pipelines involving patterns like RAG, Agentic workflows, PEFT (e.g. LORA, QLORA, etc.)
• Responsible for the complete software development lifecycle, including requirements analysis, design, coding, testing, and deployment.
• Utilize AWS services/ Azure services like IAM, Monitoring, Load Balancing, Autoscaling, Database, Networking, storage, ECR, AKS, ACR etc.
• Implement DevOps practices using tools like Docker, Kubernetes to ensure continuous integration and delivery. Develop DevOps scripts for automation and monitoring.
• Collaborate with cross-functional teams, conduct code reviews, and provide guidance on software design and best practices.

Qualifications:

• Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent work experience).
• At least 5 years of experience in software development, with relevant work experience in LLM app development.
• Strong coding skills with proficiency in Python and Javascript
• Experience with API frameworks both stateless and stateful such as Fast API, Django
• Well versed in implementation of web sockets, gRPC, access management using JWT (Azure AD, IDM preferred)
• Proficient in cloud platforms, specifically AWS, Azure, or GCP
• Knowledge and hands-on experience with front-end development (React JS, Next JS, Tailwind CSS) preferred
• Strong experience in LLM patterns like RAG, Vector DB, Hybrid Search, Agent development, Agentic workflows, prompt engineering, etc.
• Strong experience with LLM APIs (Open AI, Anthropic, AWS Bedrock), SDKs (Langchain, DSPy)
• Hands-on experience with DevOps tools including Docker, Kubernetes, and AWS services (Redshift, RDS, S3).
• Experience in production deployments involving thousands of users
• Strong understanding of scalable application design principles and experience with security best practices and compliance with privacy regulations.
• Good knowledge of software engineering practices like version control (GIT), DevOps (Azure DevOps preferred) and Agile or Scrum.
• Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
• Experience of SDLC and best practices while development
• Experience with Agile methodology for continuous product development and delivery

Key Skills

Education

Bachelor's degree