ROLE OVERVIEW
We are seeking an AI Engineer to design and build applications leveraging Large Language Models (LLMs) and advanced Retrieval-Augmented Generation (RAG) techniques. The role involves prototyping finetuning and deploying AI powered solutions while ensuring performance scalability and alignment with business objectives.
KEY RESPONSIBILITIES
- Develop integrate and optimize AI applications using LLM APIs (e.g. OpenAI Anthropic).
- Implement RAG pipelines with vector databases and retrieval mechanisms.
- Design test and refine prompts for effective model performance.
- Integrate AI models with backend services and APIs.
- Collaborate with developers and product teams to bring AI solutions into production.
- Apply basic MLOps practices to ensure scalable deployment and monitoring.
QUALIFICATIONS
- Bachelors or Masters degree in Computer Science AI Data Science or related field.
- 4 years of software development experience including at least 2 years in AI/ML.
- Proficiency in Python and familiarity with frameworks (LangChain LangGraph).
- Experience with vector databases (Pinecone Weaviate FAISS).
- Knowledge of RAG architectures embeddings and LLM optimization.
- Strong problem-solving experimentation and debugging skills.
Preferred Skills
- Experience with cloud AI platforms (Azure AWS GCP).
- Exposure to MLOps tools (MLflow Kubeflow Docker).
- Understanding of ethical AI bias mitigation and security practices.
Vertical
Technology
ROLE OVERVIEW We are seeking an AI Engineer to design and build applications leveraging Large Language Models (LLMs) and advanced Retrieval-Augmented Generation (RAG) techniques. The role involves prototyping finetuning and deploying AI powered solutions while ensuring performance scalability and al...
ROLE OVERVIEW
We are seeking an AI Engineer to design and build applications leveraging Large Language Models (LLMs) and advanced Retrieval-Augmented Generation (RAG) techniques. The role involves prototyping finetuning and deploying AI powered solutions while ensuring performance scalability and alignment with business objectives.
KEY RESPONSIBILITIES
- Develop integrate and optimize AI applications using LLM APIs (e.g. OpenAI Anthropic).
- Implement RAG pipelines with vector databases and retrieval mechanisms.
- Design test and refine prompts for effective model performance.
- Integrate AI models with backend services and APIs.
- Collaborate with developers and product teams to bring AI solutions into production.
- Apply basic MLOps practices to ensure scalable deployment and monitoring.
QUALIFICATIONS
- Bachelors or Masters degree in Computer Science AI Data Science or related field.
- 4 years of software development experience including at least 2 years in AI/ML.
- Proficiency in Python and familiarity with frameworks (LangChain LangGraph).
- Experience with vector databases (Pinecone Weaviate FAISS).
- Knowledge of RAG architectures embeddings and LLM optimization.
- Strong problem-solving experimentation and debugging skills.
Preferred Skills
- Experience with cloud AI platforms (Azure AWS GCP).
- Exposure to MLOps tools (MLflow Kubeflow Docker).
- Understanding of ethical AI bias mitigation and security practices.
Vertical
Technology
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