LLM Model Architect

3 weeks ago


Bengaluru, Karnataka, India Mazenet solution Full time

Mazenet solution seeks a highly skilled LLM Model Architect to design and develop scalable software solutions using Python and cloud platforms (AWS, Azure, GCP).

Responsibilities:

  • 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 (essentials in bold):

  • Bachelors 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

Fluency in English is required, additional fluency in at least one European or Asian language is desirable.



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