Job Summary
We are looking for an LLM Engineer with expertise in LLM-based application development scalable software solutions and cloud platforms. This role will involve designing developing and optimizing LLM-based pipelines ensuring performance security and compliance.
Key Responsibilities
Design and develop LLM-based architectures and workflows including RAG Agentic workflows and LoRA/QLoRA.
Take ownership of architecture design and technical .
Develop and deploy AI/ML solutions on AWS Azure or GCP.
Implement DevOps automation using Docker and Kubernetes.
Collaborate with cross-functional teams and conduct code reviews.
Qualifications
5 years of software development experience with at least 1-2 years in LLM development.
Strong coding skills in Python and JavaScript.
Experience with LLM APIs (OpenAI Anthropic AWS Bedrock).
Hands-on with LLM SDKs (Langchain DSPy).
Expertise in API frameworks (FastAPI Django).
Experience with cloud platforms (AWS Azure GCP).
Knowledge of DevOps tools (Docker Kubernetes CI/CD).
Experience in front-end development is a plus.
api frameworks (fastapi, django),llm,devops tools (docker, kubernetes, ci/cd),gcp,azure,front-end development , ,cloud platforms,aws,rag,javascript,llm application development,scalable software solutions,python,llm sdks (langchain, dspy),llm apis (openai, anthropic, aws bedrock)