SIGN IN
Junior AI/ML Engineer jobs in United States
cer-icon
Apply on Employer Site
company-logo

Ensora Health · 5 hours ago

Junior AI/ML Engineer

Ensora Health is the leading provider of software and services for mental and behavioral health therapists. In this role, you will design, develop, and deploy AI applications powered by Large Language Models and deep learning architectures to transform complex challenges into innovative solutions for mental health care providers.
Electronic Health Record (EHR)Health CareSoftware

Responsibilities

Architect, build, and maintain scalable AI applications using Python and modern ML frameworks
Design multi‑step LLM‑powered workflows and autonomous agent systems using orchestration frameworks such as LangChain, LlamaIndex, CrewAI, and Semantic Kernel
Implement AI agents capable of reasoning, planning, and executing tasks independently
Develop and optimize deep learning models using PyTorch, TensorFlow, or Keras, including feature engineering and fine‑tuning
Analyze complex datasets, extract insights, and build compelling visualizations for stakeholders
Integrate AI models and agentic systems into existing data pipelines, APIs, and platform infrastructure
Design and optimize SQL and PostgreSQL data storage for AI workflows
Collaborate with product managers, engineers, and data scientists to deliver high‑impact AI features
Stay current with advancements in LLMs, multimodal models, and emerging agent architectures

Qualification

PythonMachine LearningDeep LearningLarge Language ModelsSQLPostgreSQLData AnalysisData VisualizationProblem SolvingCollaboration

Required

Bachelor's degree in Computer Science, Engineering, AI, or related field
3+ years of software development experience with strong Python proficiency
Hands‑on experience with LLMs (GPT, Llama, Claude, Gemini) via APIs or open‑source implementations
Experience with vector databases such as Pinecone, Weaviate, or ChromaDB
Expertise using orchestration frameworks like LangChain or LlamaIndex
Strong understanding of agent architectures and reasoning frameworks (e.g., ReAct)
Practical experience training ML/DL models using PyTorch, TensorFlow, or Keras
Strong data analysis and visualization capabilities
Proficiency in SQL and PostgreSQL
Familiarity with Azure OpenAI, Amazon Bedrock, Google Vertex AI, or similar cloud AI services
Strong problem‑solving mindset and passion for building advanced intelligent systems

Preferred

Experience with MLOps tools and practices
Skills in model tuning, quantization, or optimization for deployment
Exposure to microservices, Kubernetes, or GitOps
Contributions to open‑source projects

Company

Ensora Health

company-logo
Ensora Health is the leading provider of software and services for mental, behavioral, and rehabilitative health therapists, trusted by over 200,000 individual providers and more than 28,000 practices.

Funding

Current Stage
Growth Stage
Total Funding
unknown
Key Investors
Lightyear Capital
2021-04-07Acquired
2018-07-24Private Equity
2018-01-01Series Unknown

Leadership Team

K
Kevin Smith
General Manager
linkedin
Company data provided by crunchbase