Heartland · 2 months ago
GenAI Engineer
Alpharetta, Georgia, USA
Full-time
Hybrid
Mid, Senior Level
4+ years expHeartland is a Global Payments Holding Company that provides payment solutions for millions of buyers and sellers. They are seeking a GenAI Engineer to design, develop, and maintain Generative AI models and workflows, collaborating closely with data scientists and stakeholders to deliver AI solutions that meet business needs.
Credit CardsPaymentsTransaction Processing
No H1B
Responsibilities
Design, develop, implement, test, and maintain Generative AI models and agentic workflows using GCP Vertex AI, AWS Bedrock, and Snowflake Cortex
Build and integrate Retrieval Augmented Generation (RAG) systems, to ground the responses of AI solutions with up-to-date and relevant data
Fine-tune and evaluate foundation models using both proprietary and open-source technology
Develop agentic architectures using tools like LangGraph, CrewAI, AutoGen, and others to orchestrate multi-step reasoning, planning, and tool use
Build and optimize AI agents that can interface with MCP servers, APIs, databases, take contextual actions, and autonomously execute business workflows
Collaborate closely with data scientists, data engineers, and stakeholders to understand requirements and deliver AI solutions that meet business needs
Implement best practices for model deployment, monitoring, validation, and retraining on GCP Vertex AI, AWS Bedrock, and Snowflake Cortex
Work with cross-functional IT and business teams in an Agile environment to deliver successful AI solutions
Document processes, models, and configurations for knowledge sharing and compliance
Stay current with the latest in generative AI research and translate breakthroughs into applied business solutions
Qualification
Required
Bachelor's degree in Computer Science, Engineering, or a related field
4+ years of experience in AI/ML engineering, with a focus on Generative AI
Proficiency in programming languages such as Python
Strong understanding of Generative AI models (e.g., GPT, Transformer architectures) and experience in distilling, tuning and training them
Familiarity with Retrieval Augmented Generation (RAG) techniques and their implementation
Experience with agentic AI concepts and developing autonomous AI workflows
Hands-on experience with GCP Vertex AI, AWS Bedrock + Sagemaker, and Snowflake Cortex platforms and their AI/ML capabilities
Experience with machine learning frameworks (TensorFlow, PyTorch, Hugging Face Transformers)
Experience with AI frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, etc
Experience with Natural Language Processing (NLP) and building conversational AI agents
Experience with vector databases (eg. Pinecone, MongoDB Atlas, OpenSearch, pgVector, FAISS, Qdrant, etc)
Experience building production-grade AI/ML systems at scale
Knowledge of MLOps practices, including model deployment and lifecycle management
Excellent problem-solving and analytical skills
Excellent communication and collaboration skills
Preferred
Familiarity with Prompt Engineering, RLHF, and model evaluation techniques
Understanding of AI governance, safety, and responsible principles
Understanding of reinforcement learning and its application in agentic AI
Familiarity with big data technologies (Apache Spark, Kafka)
Experience with CI/CD tools and automation for AI/ML workflows
Familiarity with Snowflake's cloud integrations
Experience with real-time data processing and streaming analytics
Publications or contributions to open-source projects in the AI/ML field
Company
Heartland
Heartland is a fintech company offering payment processing services and point of sale systems for businesses and educational institutions.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2025-05-28Acquired
Leadership Team
Asif Bhagat, PharmD
ISO Partner
Becky Chapin
Client Partner
Recent News
2025-06-05
Payments Dive
2025-05-28
2024-06-01
Company data provided by crunchbase