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Python AI Engineer - OmegaHires

Omega Hires • Professional Services • Human Resources • Python • SQL • 3 days ago
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Salary
≈ $123k – $234k per year (Estimated)
Location
In office (Phoenix)
Seniority
Senior · 6+ years exp
Visa
Filed H-1B visas in the last two years

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 8, 2026.

Overview
Company
Impact
Profile match

Omega Hires

Omega Hires (Veena Corp DBA OmegaHires) is a talent acquisition, specialized staffing, and technology consulting enterprise specializing in recruitment, workforce management, and human capital solutions. Headquartered in Herndon, Virginia, United States, the women-owned business operates across core service lines including direct placement, contract staffing, Recruitment Process Outsourcing (RPO), Professional Employer Organization (PEO) solutions, and digital transformation consulting. Through AI-enabled candidate evaluation, specialized domain recruitment across information technology, engineering, healthcare, and finance, and flexible hiring models, the enterprise enables startups, mid-sized businesses, and enterprise clients to scale workforce capacity and optimize talent acquisition workflows.
omegahires.com • HQ: Herndon, United States • IT Staffing & Staff Augmentation • Recruiting & Staffing • 51-200 employees
Tech stack of Omega Hires

Python AI Engineer

Summary: Our + years of professional software engineering experience and strong expertise in Python, distributed systems, microservices, and AI/LLM applications. The ideal candidate will build scalable backend services, integrate AI capabilities and tool-based interfaces, and develop production-ready solutions using modern cloud-native technologies. Required

Qualifications:- 6+ years of professional software engineering experience with strong Python expertise.- Proven experience designing and operating microservices, REST APIs, and distributed systems.- Experience building MCP servers, AI service integrations, or tool-based interfaces for LLM applications.- Proficiency with modern Python frameworks such as FastAPI.- Strong understanding of scalable architecture, asynchronous processing, caching, messaging, and fault-tolerant design.- Experience with SQL, data modeling, Git, automated testing, and CI/CD.- Hands-on experience with Docker, Kubernetes, and AWS, Google Cloud, or Microsoft Azure.- Experience with logging, metrics, distributed tracing, and production troubleshooting.- Familiarity with LLM applications, RAG, embeddings, vector databases, and AI orchestration frameworks.- Exposure to technologies such as Kafka, Spark, Airflow, MLflow, Kubeflow, or Argo Workflows. Preferred

Qualifications:- Experience developing agentic AI and tool-calling workflows.- Experience with LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar AI orchestration frameworks.- Experience with cloud-native AI services and managed vector/search platforms.- Knowledge of distributed system patterns, event-driven architecture, and asynchronous messaging.

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