LLM Engineer
3 weeks ago
- 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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