Software Engineer – AI / ML, LLMs & Agentic Systems

About Us

Artemis ABA Inc. is a leading provider of behavioral health solutions built on the Salesforce enterprise cloud. Our mission is to simplify ABA therapy operations through secure, scalable, and intuitive mobile technology.

Position Overview

We are seeking a highly skilled AI / ML Software Engineer with hands-on experience in designing and deploying end-to-end LLM-powered systems, RAG pipelines, and agentic AI architectures. The ideal candidate combines strong Python development skills with advanced understanding of Large Language Models, LangChain, vector databases, prompt optimization, and multi-agent orchestration frameworks.

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

Preferred Qualifications

Technical Environment

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