Note: The job is a remote job and is open to candidates in USA. Hallmark Health Care Solutions is a healthcare technology company that develops technologies, support services, and thought leadership to improve patient care and community health outcomes. The company is seeking a hands-on AI Software Engineer to design, build, deploy, and independently deliver production-grade AI, machine learning, generative AI, agentic AI, and RAG solutions while collaborating with engineering, product, architecture, QA, DevOps, and distributed teams.
Responsibilities
- 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
- 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
- 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
- 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
- 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
Skills
- * 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
- * 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
- * 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
Benefits
- 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!
Company Overview
Company H1B Sponsorship