Job
Description
As a highly skilled AI/ML Software Engineer at Artemis ABA Inc., your role will involve designing and deploying advanced AI systems with a focus on Large Language Models (LLM), RAG pipelines, and agentic AI architectures. Your expertise in Python development and understanding of cutting-edge technologies will be crucial in simplifying ABA therapy operations through secure, scalable, and intuitive mobile technology. **Key Responsibilities:** - Design, develop, and deploy RAG (Retrieval-Augmented Generation) systems integrating vector databases, embedding models, and custom retrievers. - Architect and fine-tune custom LLMs via parameter-efficient tuning, LoRA, or domain-specific training. - Create and manage agentic AI workflows multi-step reasoning systems powered by tools such as LangChain, CrewAI, or OpenDevin. - Implement prompt engineering and prompt-chaining techniques to optimize LLM behavior and reliability. - Build and maintain scalable LangChain-based applications that interact with databases, APIs, and business systems. - Collaborate with data scientists to design and deploy ML/AI pipelines leveraging AWS, Azure, or GCP cloud infrastructure. - Develop, test, and optimize APIs that integrate AI reasoning and autonomous decision-making capabilities. - Monitor and improve model performance, latency, and token efficiency using observability tools like LangFuse, Phoenix, or OpenDevin dashboards. - Document architectural decisions, experiment metrics, and system flows for technical transparency. **Required Skills and Experience:** - 4+ years in Python software development, with strong understanding of asynchronous programming and API design. - Solid experience deploying LLM applications using frameworks like LangChain, LlamaIndex, or Haystack. - Proficiency working with vector databases (FAISS, Pinecone, Weaviate, Milvus, Qdrant) and embedding models (OpenAI, sentence-transformers, Cohere, HuggingFace). - Experience designing autonomous agent systems, connecting LLMs with Python functions, tools, or APIs. - Strong command of prompt engineering, including contextual grounding, role prompting, and few-shot examples. - Familiarity with RAG pipeline architecture (retriever, ranker, generator layering). - Understanding of custom model fine-tuning techniques (RLHF, LoRA, QLoRA, PEFT). - Experience with cloud-based model deployment (AWS Sagemaker, Azure ML, Vertex AI). - Working knowledge of AI observability, evaluation frameworks (LangFuse, Traceloop, Phoenix). **Preferred Qualifications:** - Experience building autonomous agents using frameworks like LangGraph, CrewAI, OpenDevin, or AutoGPT. - Experience deploying multi-agent collaboration systems or tool-using AI. - Background in knowledge graph integration, context window optimization, and embedding search tuning. - Contribution to open-source AI/LLM projects. - Strong understanding of data governance, AI ethics, and model interpretability. In this role, you will be working in a technical environment that includes: - **Languages:** Python - **Frameworks:** LangChain, LlamaIndex, Django, FastAPI - **Databases:** PostgreSQL, MySQL, and vector DBs (Pinecone, FAISS, Qdrant, Weaviate) - **Cloud:** AWS (S3, Lambda, RDS, SageMaker), Azure, or GCP - **AI Stack:** OpenAI, Anthropic Claude, Meta Llama, Mistral, HuggingFace Hub - **Architecture:** RAG, multi-agent orchestration, microservices, serverless Join Artemis ABA Inc. to be a part of a team dedicated to leveraging cutting-edge technologies to revolutionize behavioral health solutions.,
