Software Engineer (AI/ML focus)

About the role

The role is located in the Dallas office and offers a compensation range of $115,000 - $137,500 per year. This position is not 100% remote and requires applicants to be in the Princeton, NJ area or Dallas, TX. Hallmark Health Care Solutions is seeking a highly capable and hands-on AI Engineer to join their growing engineering and product innovation team.

Responsibilities

• Understand complex business and AI requirements 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.
• Build Agentic AI workflows capable of multi-step reasoning, orchestration, task automation, and intelligent decision support.
• 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.
• Build scalable Retrieval-Augmented Generation (RAG) systems including document ingestion pipelines, chunking strategies, embedding generation, vector databases, hybrid semantic and keyword retrieval, and re-ranking pipelines.
• Implement evaluation frameworks to measure retrieval quality and response accuracy.
• 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.
• 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.
• Collaborate 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.

Requirements

• 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.
• Exposure to AI evaluation frameworks such as LangSmith, RAGAS, or equivalent.
• Experience integrating AI solutions with enterprise platforms and third-party systems.