LLM Engineer

2 weeks ago

bangalore, India ITC Infotech Full time

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 (essentials in bold):

- 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 (Lang chain, 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

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