Senior AI/ML Engineer

Working at Taazaa involves engaging with cutting-edge technology and innovative software solutions in a collaborative environment. We emphasize on continuous professional growth, offering workshops and training. Our employees often interact with clients to tailor solutions to business needs, working on diverse projects across industries. We promote work-life balance with flexible hours and remote options, fostering a supportive and inclusive culture. Competitive salaries, health benefits, and various perks further enhance the work experience.

Looking ahead, we aim to expand our technological capabilities and market reach, investing in advanced technologies and expanding our service offerings. We plan to deepen our expertise in AI and machine learning, enhance our cloud services, and continue fostering a culture of innovation and excellence. Taazaa is committed to staying at the forefront of technology trends, ensuring it delivers impactful and transformative solutions for its clients.

We are looking for a Senior AI/ML Engineer for our AI initiatives. You will be part of a very fast moving team distributed across the globe. You will bridge the gap between high-level AI research and industrial-grade production systems. This is a role for a T-Shaped engineer: someone with deep expertise in LLMs, machine learning and mathematics, but with the broad proficiency across DevOps, databases, and microservices needed to turn experimental models into stable, scalable products.

As a senior member of the team, you will drive Engineering Excellence, setting up the architectural benchmarks that allow our AI solutions to be resilient, compliant, and market-ready.

What You’ll Do

AI Orchestration & Agentic Systems

• Design and implement complex, stateful agentic workflows using LangGraph and LangChain.
• Implement tool calling and Model Context Protocol (MCP) to securely connect models to diverse data sources and tools.
• Optimize high-throughput model serving using vLLM or similar high-performance engines.

Engineering Excellence & Mentorship

• Establish and enforce high-quality coding standards and modular architectural patterns across the AI stack.
• Lead by example through rigorous code reviews and hands-on technical guidance, fostering a culture of technical rigor and production readiness.

Data Engineering & Database Design

• Architect scalable database schemas (SQL, NoSQL, and Vector) optimized for RAG, hybrid search, and real-time analytics.
• Build and maintain robust data pipelines that ensure high data quality for model training and evaluation.

Platform, MLOps & Compliance

• Own the containerization (Docker/Kubernetes) and deployment of AI workloads on public and private clouds.
• Ensure all systems meet strict regulatory requirements, including HIPAA, GDPR, and CCPA.
• Implement MLOps practices, including automated testing for AI outputs and performance monitoring.

Your Qualifications

Technical

Frameworks: Expert proficiency with LLM SDKs, ML frameworks like PyTorch or TensorFlow (Keras is welcome); mastery of LangChain and LangGraph is a plus.

Systems: Strong hands-on experience with Python, SQL, Docker, and Microservices architecture. Experience with Kubernetes is a plus.

Math & Stats: A solid fundamental understanding of Mathematics and Statistics (Linear Algebra, Probability, and Statistical Significance) that underpins modern neural networks.

Cloud: Proven experience managing workloads within a public cloud (AWS, GCP, Azure, etc.) ecosystem.

Regulatory: Practical experience building in HIPAA or GDPR/CCPA compliant environments.

Behavioral

Here are five essential behavioral skills Artificial Intelligence (AI) Lead should possess:

• Effective Communication: Clearly and concisely convey ideas, requirements, and feedback to team members, stakeholders, and clients, fostering an environment of open dialogue and mutual understanding.
• Leadership and Mentorship: Inspire and guide the development team, providing support and encouragement, while promoting a culture of continuous learning and improvement.
• Problem-Solving Attitude: Approach challenges with a proactive mindset, quickly identifying issues and developing innovative solutions to overcome obstacles.
• Collaboration and Teamwork: Work well within a team, encouraging collaboration and valuing diverse perspectives to achieve common goals and deliver high-quality results.
• Adaptability and Flexibility: Stay adaptable in a fast-paced, dynamic environment, effectively managing changing priorities and requirements while maintaining focus on project objectives.

What You’ll Get In Return…

Joining Taazaa Tech means thriving in a dynamic, innovative environment with competitive compensation and performance-based incentives. You'll have ample opportunities for professional growth through workshops and certifications, while enjoying a flexible work-life balance with remote options. Our collaborative culture fosters creativity and exposes you to diverse projects across industries. We offer clear career advancement pathways, comprehensive health benefits, and perks like team-building activities.

Who We Are

Taazaa Tech is a kaleidoscope of innovation, where every idea is a brushstroke on the canvas of tomorrow. It's a symphony of talent, where creativity dances with technology to orchestrate solutions beyond imagination. In this vibrant ecosystem, challenges are sparks igniting the flames of innovation, propelling us towards new horizons.

Welcome to Taazaa, where we sculpt the future with passion, purpose, and boundless creativity.