Senior Staff Software Engineer (Sr. Consultant) - GenAI Enablement (GenAI)

Location: US - Ashburn, VA; hybrid with at least 3 days in the office. Travel required 5-10% of the time.

Salary: $154,900.00-$248,200.00 USD per year, with potential bonus and equity eligibility.

Company

hirify.global develops global payments technology and operates high-throughput transaction processing networks supporting consumers, merchants, financial institutions, and government entities.

What you will do

• Architect, develop, and deploy GenAI-powered applications integrated with payment products, developer platforms, and operational tools.
• Build reusable GenAI components, SDKs, agent pipelines, abstraction layers, and LLMOps workflows using frameworks such as LangGraph, LangChain, Haystack, and AWS GenAI services.
• Develop secure full-stack applications with Python, FastAPI or Flask, Node, React, TypeScript, REST, and GraphQL.
• Design RAG architectures, vector database integrations, ETL/ELT workflows, embedding pipelines, and retrieval data stores.
• Implement CI/CD, infrastructure-as-code, automated testing, containerization, monitoring, logging, observability, and rollback strategies.
• Mentor engineers and collaborate with cybersecurity and cross-functional teams on secure, explainable, governed, and responsible AI deployments.

Requirements

• Hybrid work in Ashburn, Virginia, with at least 3 days in the office.
• 8+ years of relevant experience with a bachelor's degree, or equivalent experience with an advanced degree or PhD; 11+ years may qualify without the listed degree paths.
• Hands-on experience with LLM frameworks, AWS Bedrock or related GenAI tools, RAG at scale, and vector databases such as FAISS, Pinecone, Weaviate, or OpenSearch.
• Strong Python backend development, preferably FastAPI, plus React and TypeScript frontend development.
• Experience shipping AWS products using services such as Lambda, ECS/EKS, S3, API Gateway, Bedrock, and SageMaker.
• Understanding of distributed systems, microservices, API design, event-driven systems, Agile or SAFe practices, and CI/CD automation with tools such as Jenkins.

Nice to have

• Experience with Databricks, Spark, MLflow, or modern MLOps tools.
• Background in payments, risk, fraud analytics, or regulated financial systems.
• Experience creating developer tooling or reusable frameworks for engineering teams.
• Leadership presence, strong communication, and the ability to simplify complex AI concepts.

Culture & Benefits

• Work in a global, multifunctional engineering organization focused on high-throughput payment systems and complex distributed technologies.
• Blame-free postmortems, intellectual curiosity, problem solving, mentorship, and continuous learning.
• Benefits may include medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and wellness programs.
• Work hours vary according to department needs.