AI Software EngineerDepartment: Physician Enterprise Development
Employment Type: Full Time
Location: New Jersey Office
Reporting To: Atul Jain
Compensation: $115,000 - $137,500 / year
Description***
Please note, this role is NOT 100% remote. We are considering applicants in the Princeton, NJ area who can interview in person and occasionally work in our NJ office.
What You'll DoWe are looking for a highly capable and hands-on AI Engineer to join our growing engineering and product innovation team. The ideal candidate should be able to understand complex business and AI requirements, architect practical AI-driven solutions, collaborate with technical leads and managers, and independently deliver production-grade AI initiatives.
What We Are Looking For- Someone who can think beyond demos and build AI systems that work reliably in real-world production environments.
- A self-driven engineer who can take ownership of AI initiatives with minimal supervision.
- A strong collaborator who can work effectively with leadership, managers, architects, and distributed engineering teams.
- An individual passionate about solving meaningful business problems using practical AI innovation.
AI Solution Design & Delivery- Understand business problems and translate them into scalable AI/ML and Generative AI solutions.
- Design, develop, and deploy enterprise-grade AI systems with a strong focus on reliability, scalability, monitoring, and measurable outcomes.
- Lead or contribute to multiple AI initiatives simultaneously while coordinating with engineering leads, product managers, architects, and offshore teams.
- Independently drive proof-of-concepts, pilots, and production implementations.
Agentic AI & LLM Systems - Design and implement Agentic AI workflows capable of multi-step reasoning, orchestration, task automation, and intelligent decision support.
- Build AI agents using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, MCP, or equivalent orchestration platforms.
- Implement memory management, evaluation pipelines, guardrails, failure recovery, and observability for production AI systems.
- Develop prompt engineering strategies and optimize LLM interactions for enterprise use cases.
RAG & Semantic Search • Build scalable Retrieval-Augmented Generation (RAG) systems including:
• Document ingestion pipelines
• Chunking strategies
• Embedding generation
• Vector databases
• Hybrid semantic and keyword retrieval
• Re-ranking pipelines
• Citation traceability
• Work with vector stores such as FAISS, Pinecone, Weaviate, or similar technologies.
• Implement evaluation frameworks to measure retrieval quality and response accuracy.
AI/ML Engineering - Develop and optimize ML and Deep Learning models for predictive analytics, classification, forecasting, NLP, computer vision, and recommendation systems.
- Work with modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn, XGBoost, and Hugging Face.
- Participate in model fine-tuning, instruction tuning, RLHF, LoRA, and PEFT initiatives where applicable.
Cloud, MLOps & Engineering Excellence - Build scalable AI infrastructure on cloud platforms such as Azure, AWS, or GCP.
- Implement MLOps best practices including CI/CD pipelines, model monitoring, experiment tracking, infrastructure automation, and deployment orchestration.
- Work with tools such as Docker, Kubernetes, Terraform, MLflow, Airflow, and GitHub Actions.
- Optimize infrastructure usage, performance, and operational cost.
Collaboration & Leadership - Work closely with onsite and offshore engineering teams to ensure smooth delivery and communication.
- Collaborate with technical leads, architects, QA teams, DevOps teams, and product stakeholders.
- Mentor junior engineers and contribute to AI capability building within the organization.
What We're Looking For- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or related field.
- 6+ years of software engineering experience with at least 3+ years focused on AI/ML and Generative AI initiatives.
- Hands-on experience building and deploying production AI systems.
- Experience delivering AI initiatives independently in enterprise environments.
- Understanding of LLMs, Agentic AI architectures, and RAG systems.
- Python programming skills and experience with APIs, distributed systems, and data engineering concepts.
- Experience working in onsite/offshore collaboration models.
- Excellent communication, analytical thinking, and problem-solving skills.
Preferred Skills - Experience in Healthcare, Workforce Management, Staffing, Compliance, or Enterprise SaaS domains.
- Exposure to AI governance, compliance, security, and responsible AI practices.
- Experience with Computer Vision, NLP, forecasting, or healthcare AI use cases.
- Knowledge of HIPAA-compliant AI solution development is a plus.
- Exposure to AI evaluation frameworks such as LangSmith, RAGAS, or equivalent.
- Experience integrating AI solutions with enterprise platforms and third-party systems.
The Perks- Medical, Dental, and Vision Insurance with Employee Premiums Covered by HHCS at 100% and Company Cost Share for any Dependents Enrolled
- $3000 Annual Company Contributions to HSAs for all Employees Enrolled in the HSA Eligible Health Plan
- Unlimited Paid Time Off
- Pre-Tax and Roth 401(K) Retirement Options
- On-Site Gym, Free Parking, and Provided Lunches 3 Times per Week in the Dallas Office!
