About us:

Soar is a global fintech startup that specializes in financing and investment. Currently headquartered in Saudi Arabia, Soar is growing throughout the region with a mission to help people achieve their financial goals with innovative financial and property investment solutions and tools through its multi-purpose platform, designed to offer a simple and seamless user experience.

Role Summary:

This role is for engineers who operate at a higher abstraction level. You will design, manage, and optimize AI agents that generate code, workflows, and business logic. Your responsibility is to ensure outputs are correct, scalable, and aligned with business goals.

You are expected to:

• Reduce development time through AI
• Improve output quality through validation and iteration
• Continuously refine agent performance

Key Responsibilities:

Staff Software Engineer - Backend & AI Infra

Remote | Full-time

Location: Based in US to GMT timezones

Compensation: Competitive Compensation Package

Our client is a high-growth technology firm. They are seeking a Staff Software Engineer to spearhead two critical domains: the core agent runtime and backend infrastructure powering a high-frequency trading fleet, and the comprehensive migration of model hosting and agent deployment to in-house, proprietary infrastructure.

This is a foundational, high-impact building role. The successful candidate will design and implement the backend services, runtime engines, and deployment systems that enable a fleet of autonomous agents to operate with superior speed, reliability, and intelligence. By moving away from third-party LLM providers and hosted platforms, this role will establish the sovereign infrastructure necessary for the next generation of autonomous financial software.

Key Responsibilities

Agent Runtime & Backend Development

Tiger Analytics is looking for experienced GenAI Architect to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for a hands-on Engineering Lead with deep expertise in Generative AI (GenAI), Large Language Models (LLM) / Small Language Models (SLM) who can lead the design, development, and integration of AI-powered components into real-world, production-grade applications. This role demands strong engineering leadership and best practices, a practical approach to application development and system design with applied AI, fluency in modern AI tools, frameworks, cloud-native application stacks, and preferably knowledge of healthcare domain intricacies. You will lead the technical delivery of AI-powered features for a variety of horizonal and vertical healthcare use cases— all while ensuring compliance with enterprise integration standards.

Requirements

Responsibilities

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are looking for a highly skilled GenAI Engineer with strong hands-on experience in building, evaluating, and deploying advanced Generative AI systems. The ideal candidate will have deep expertise in agentic frameworks, model fine-tuning, and reinforcement learning, along with a strong focus on experimentation, reliability, and hallucination mitigation beyond prompt engineering.

Requirements

Tiger Analytics is looking for experienced Agentic AI Lead/Architect with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

Requirements

We are looking for a Lead/Architect who can define the Agentic AI architecture on Azure, guide solution design, and still be close enough to the code to review and prototype. This person will partner with business and technology stakeholders to design scalable AI agent platforms on Azure AI Foundry.

Member of Technical Staff - Applied ML

Full-time | On-site

Location: New York, NY

We are a rapidly growing AI enterprise focused on equipping professionals with teams of AI agents to automate complex, real-world workflows. We are seeking a highly autonomous Applied ML Engineer to own end-to-end projects that bring intelligence into production. This role is for engineers who want to operate like both researchers and builders, focused on shipping reliable, continuously improving agentic systems.

As a key member of our Machine Learning team, you will act as the Responsible Party (RP) for mission-critical systems. You will have full autonomy to scope, build, experiment, and decide when your solution is ready to ship, focusing on clarity, deep instrumentation, and safe, reliable operation.

What you’ll be doing:

Join HSO and help shape the future of AI-driven cloud solutions. We believe technology should empower people and businesses to thrive. If you’re passionate about building innovative, ethical, and reliable AI solutions and enjoy leading projects and sharing knowledge we’d love to hear from you! 

About the Role 
As our AI Architect, you’ll design secure, scalable AI solutions, guide strategy, and work with customers and global teams. You’ll lead exciting projects, influence technology adoption, and help drive innovation at HSO. 

Key Responsibilities 

• Develop and implement enterprise AI strategies, frameworks, and governance. 

• Lead end-to-end delivery of AI solutions (migration, modelling, testing, deployment). 

• Design scalable AI systems and apply responsible AI practices. 

• Ensure privacy, security, and regulatory compliance. 

• Mentor technical teams and foster best practices. 

• Partner with customers to identify opportunities and enhance solutions. 

• Deliver workshops and share emerging technologies across teams. 

Requirements

Core Technical & Design Skills 

Software Engineer (Full Stack, AI/Marketplace)

Location: NYC (100% On-site in SoHo)

Employment Type: Full-time

Salary Range: $140K - $210K

We are a rapidly growing, well-funded technology company (backed by world-class VCs) building the autonomous future of industrial staffing through fully orchestrated, multi-agent AI workflows. Our mission is to redefine labor management and drive peak efficiency across the global supply chain. We are seeking experienced, entrepreneurial engineers to build our foundational core product suite.

We are hiring across multiple seniority levels and both frontend/backend disciplines. You will partner directly with our CTO to own product decisions, architect foundational systems, and iterate on the product roadmap.

Key Responsibilities:

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

The DE + AI Solutions Engineer will design, build, and deploy advanced data, Generative AI (Gen AI), and Agentic AI solutions for key client projects. This role requires deep, mandatory hands-on expertise in Microsoft Azure and Databricks, focusing on translating complex business requirements into scalable, production-grade code, pipelines, and infrastructure.

Requirements

Client Engagement & Delivery:

• Collaborate directly with client stakeholders to gather requirements, present technical solutions, and manage expectations.

Technical Leadership & Expertise:

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

The Enterprise Solutions Architect will lead the architectural design and delivery of advanced data, Generative AI (Gen AI), and Agentic AI solutions for the assigned strategic account or cluster of growth accounts. This role requires deep, mandatory expertise in Microsoft Azure and Databricks, focusing on translating complex business requirements into scalable, production-grade technical solutions.

Requirements

Client Engagement & Delivery: