Senior AI Engineer

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Inabia Solutions and Consulting, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2006

💳 Fintech

🔒 Cybersecurity

☁️ SaaS

Fintech • Cybersecurity • SaaS

Inabia Solutions and Consulting, Inc. is a global business enterprise that specializes in providing IT and business solutions to organizations worldwide since 2006. With expertise in areas such as software development, cybersecurity, and artificial intelligence, Inabia focuses on empowering businesses through innovative technology and tailored consulting services. The company prides itself on connecting organizations with top-tier talent and delivering high-quality managed services to enhance operational efficiency and drive growth.

📋 Description

• Develop and experiment with LLMs • Develop REST APIs using Python and FastAPI • Work with AI-assisted and agentic coding tools • Build, deploy, and secure MCP servers • Understand and apply multi-agent systems for problem-solving • Design RAG systems including vector databases and semantic search • Write prompts for various use cases • Develop generative solutions and integrate them into production • Optimize backend systems and implement security best practices • Evaluate LLM systems and ensure quality metrics are met

🎯 Requirements

• 8 – 10 Years of experience • 2+ years of experience developing and experimenting with LLMs • 8+ years of experience developing APIs with Python • Hands-on, daily use of AI-assisted and agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, autonomous coding agents) • Strong experience with Python, particularly in building REST APIs using frameworks like FastAPI • Grounding in NLP and machine learning as they relate to building LLM systems • Strong experience working with key LLM models APIs (e.g., OpenAI, Anthropic) • Experience building, deploying, and securing MCP servers at scale • Understanding of multi-agent systems and their applications in complex problem-solving scenarios • Designing and implementing RAG systems end to end: vector databases, semantic search, retrieval quality, and chunking strategy • Experience with prompt writing for various use cases • Experience with generative solutions released to prod, at scale, beyond POCs • Proficiency with server-side events, event-driven architectures, and messaging systems • Strong critical thinking and systems thinking skills, with experience debugging, optimizing, and making sound engineering decisions across complex backend systems • Solid understanding of security best practices for backend systems, including authentication and data protection • Experience developing AI/ML technologies within large and business critical applications • Building evaluation into LLM systems: eval harnesses, regression suites, LLM-as-judge, and offline/online quality metrics

🏖️ Benefits

• 100% Remote USA / Canada • Contract + Possibility of an extension • Mode of Interviews – Virtual