Gen AI Engineer
Inizio Partners CorpHouston, Texas, United States
Posted January 6, 2026
- 175000 USD
Full Time
About the Company
Inizio Partners Corp is a full‑service recruitment agency specializing in executive search, permanent placements, and contingency staffing across technology, finance, healthcare, and industrial sectors. Leveraging a founding team of industry veterans with over 25 years of global experience, the firm delivers highly personalized talent solutions that align with each client’s business strategy, culture, and growth objectives. Its differentiators include a 40% faster turnaround, 30% cost advantage over larger firms, and a 90%+ candidate profile acceptance rate, all underpinned by deep expertise in C‑suite, IT, ERP, and data‑centric roles. Inizio’s commitment to tailored service, rapid delivery, and industry breadth positions it as a trusted partner for companies seeking top talent and efficient, cost‑effective recruitment solutions.
Job Description
Translate business requirements into robust, scalable AI solutions using RAG, embeddings, vector search, and fine-tuning. Build and maintain APIs, services, and reusable components in Python to support AI applications. Deploy and monitor AI models in cloud-native environments (GCP, Azure) leveraging Kubernetes, serverless, and MLOps pipelines.
Requirements
- Bachelors or Masters degree in Computer Science, AI/ML, or related technical field.
- 5+ years of software development experience, with strong proficiency in Python.
- 3 - 5+ years hands-on experience building GenAI/LLM-based applications, with proven success from PoC to production deployment.
- Proficiency in designing retrieval pipelines (document loaders, chunking strategies, embeddings, vector databases like FAISS, Pinecone, ChromaDB).
- Expertise in LLM APIs (OpenAI, Claude, Gemini, etc.), prompt engineering, and fine-tuning.
- Experience with cloud platforms (GCP, Azure), containerization (Docker, Kubernetes), and MLOps (CI/CD, monitoring).
- Strong understanding of API design, microservices, and enterprise integration patterns.
- Familiarity with version control systems (e.g., Git, Azure DevOps).
- Demonstrated ability to build and scale AI solutions in production.