LLM Engineer

We are seeking a highly skilled LLM Engineer with a minimum of 5 years of experience in software development and 1-2 years in LLM solution development. The ideal candidate will have strong experience working with Python, LLM solution patterns and tools (RAG, Vector DB, Agentic workflows, LoRA, etc. ), cloud platforms (AWS, Azure, GCP), and DevOps tools. They will be responsible for designing and developing scalable software solutions, leading architecture design, and ensuring the performance and reliability of our systems.

Responsibilities:

• 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 a focus on achieving product goals
• Design, develop, and deploy LLM-based pipelines involving patterns like RAG, agentic workflows, and 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 and 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.

Requirements:

• 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 FastAPI and Django
• Well-versed in implementation of WebSockets, gRPC, and 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 (OpenAI, 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 with the SDLC and best practices during development
• Experience with Agile methodology for continuous product development and delivery.