Software Engineer AI Jobs in Texas

Description

What You’ll Do

• 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.

• 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.

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.

• 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!

About Hallmark Health Care Solutions