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$115k–$138k/yr
Full-time
bachelor degree, postgraduate degree
Medical insurance, Dental insurance, Vision insurance, HSA company contributions, Unlimited paid time off, 401(k) retirement options
Posted 6h ago
~40 hrs/week
Responsibilities
The AI Software Engineer will design, develop, and deploy enterprise-grade AI and Generative AI solutions to solve complex business problems. They will collaborate with cross-functional teams to build scalable AI infrastructure and maintain production-grade AI systems.
Requirements
Candidates must have a Bachelor's or Master's degree in a relevant field and at least 6 years of software engineering experience, including 3+ years in AI/ML. Strong proficiency in Python, LLM orchestration, and cloud-based MLOps is required.
Full job description
AI Software Engineer
Department: Physician Enterprise Development
Employment Type: Full Time
Location: New Jersey Office
Reporting To: Atul Jain
Compensation: $115,000 - $137,500 / year
Description
At Hallmark Health Care Solutions, what we do and how we do it go hand in hand. We bring a relentless focus to both our products and our people—grounded in curiosity, a bias for action, accountability and ownership, strong judgment, and a willingness to challenge the status quo in pursuit of better outcomes.
Hallmark Health Care Solutions is led by passionate experts with an average of 20+ years’ experience in IT, nursing, process engineering, finance, and healthcare. We are committed to strengthening communities by producing technologies, support services, and thought leadership that tangibly improve patient care and community health outcomes.
*** 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 Do
We 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!
Hallmark Health Care Solutions, Inc is an Equal Opportunity Employer. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. HHCS reserves the right to amend the job description, duties or qualifications based on company needs.
By applying to Hallmark Health Care Solutions, your application and all supplemental information is subject to our Privacy Policy. When clicking “Apply”, you will be redirected to our Applicant Tracking System, Pinpoint.
Related keywords
AI Software EngineerGenerative AIAgentic AIRAGPythonPyTorchTensorFlowMLOpsAzureAWSGCPDockerKubernetesLangChainLlamaIndexVector databases
About Hallmark: Healthcare's Workforce Operating System
Hallmark is Healthcare's Workforce Operating System, transforming fragmented tools and manual processes into a unified operating layer that equips systems to manage their most valuable asset—their workforce—and its impact on patient care and financial performance more strategically.
By connecting workforce spend, performance, preference, and incentive data across physicians, clinicians, and non-clinical staff, Hallmark gives health systems the visibility and coordination needed to anticipate demand, align incentives, and deploy talent proactively.
Offices: 13155 Noel Rd, Suite 2400, Dallas, Texas 75240, US
Based on 166 listings with disclosed salaries, most technology jobs in Princeton, NJ pay between $90k–$207k per year. Individual offers vary with seniority, company size, and specialization.
How many Technology jobs are open in Princeton, NJ right now?
There are currently 184 open technology positions in Princeton, NJ listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Princeton, NJ?
Companies currently hiring include Bristol Myers Squibb, State Street, Otsuka Pharmaceutical Companies (U.S.), S&P Global, Princeton University Strategic Partnerships and Engagement, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Princeton, NJ?
Yes — 110 of the 184 open technology positions offer remote or hybrid work (18 remote, 92 hybrid).
How do I apply for Technology jobs in Princeton, NJ?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.