Llm engineer
1 month ago
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 Dev Ops practices using tools like Docker, Kubernetes to ensure continuous integration and delivery.
Develop Dev Ops 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 Java Script Experience with API frameworks both stateless and stateful such as Fast API, Django Well versed in implementation of web sockets, g RPC, 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 Dev Ops 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), Dev Ops (Azure Dev Ops 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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