Applied AI Engineer

Location: NYC Employment Type: Full-time On-site: 5 days/week in-office

About the Role

Our client, an AI-first company backed by top-tier investors, is looking for an Applied AI Engineer to join their team. They are building a platform that applies AI to every step of bringing new therapies to market, ensuring patients get life-changing treatments as quickly and affordably as possible. This role is a high-impact opportunity to work on real-world production use cases of LLMs and other ML techniques to solve complex business problems.

This is a demanding role with a high level of autonomy. The client is looking for someone who can "act like an owner" and take end-to-end responsibility for projects, from initial definition and design through to launch and success.

What You'll Do

AI Software Engineer (Generative AI)

Azumo, a leading AI Development company, is seeking a highly motivated AI Software Engineer to join our growing team of expert AI developers. We specialize in delivering Top AI Development services, helping organizations build intelligent applications powered by Generative AI, large language models (LLMs), and advanced automation.

As part of our team, you will collaborate with engineers, data scientists, and domain experts across SaaS, cloud, and big data environments. You will work on cutting-edge AI software development services, translating research into production-ready solutions that drive real-world impact for global clients.

At Azumo, you’ll thrive if you enjoy the full lifecycle of Generative AI development—from ideation and prototyping to deployment, monitoring, and scaling intelligent applications.

Our client is a well-funded, early-stage startup solving one of the most critical challenges in the AI industry: ensuring AI applications are safe, reliable, and ready for production. They are building a platform that provides best-in-class tools for evaluation, testing, and continuous improvement of AI models.

Founded in 2024, the company is already working with leading AI labs like OpenAI and Anthropic, as well as other major enterprises. Their team is composed of top talent from companies like Datadog, Citadel, and McKinsey, and they are backed by founders and executives from tech powerhouses such as Google, Stripe, and Databricks.

Our client is seeking a talented Full-Stack Software Engineer to build their AI reliability platform. In this role, you will have a direct impact on how AI is tested, verified, and deployed across the industry. You'll own the end-to-end development of new features, from designing user-facing workflows to creating reusable frontend components and visualizations for complex concepts.

You will also have the unique opportunity to:

• Collaborate directly with the research team on safe AI tooling.
• Interface with customers to design intuitive workflows and guide them in evaluation methodologies.

Requirements

About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data

Antipollution, a member of Vasileiadis Group of Companies (V Group), is a leading provider of environmental and waste‑management solutions across the Eastern Mediterranean, Egypt, and the Balkans. Operating in six main business pillars—including Port Reception Facilities, Emergency Response Services, Decontamination Services, Renewable Energy, Alternative Fuel Production from Waste, and Technology—we are committed to sustainability, innovation, and operational excellence.

As part of our digital-transformation agenda, we are looking for a hands-on Senior Cloud & Systems Engineer (Azure) to join the Technology & Innovation Department. You will design, implement and continually optimize our Azure-centric and hybrid infrastructure—spanning virtual machines, Azure Virtual Desktop (AVD), containers, networking and security services—ensuring high reliability, security, scalability and cost-efficiency.

Role Overview:

You will act as the technical owner for our Azure and hybrid infrastructure, covering everything from compute and virtual desktops to networking, storage, identity and security. The role is 100 % hands‑on: you will plan, build, automate, troubleshoot and continuously improve systems yourself—while collaborating closely with peers in software, data and operations.

Key Responsibilities:

Antipollution, a member of Vasileiadis Group of Companies (V Group), is a leading provider of environmental and waste management solutions across the Eastern Mediterranean, Egypt, and the Balkans. Operating in six main business pillars, including Port Reception Facilities, Emergency Response Services, Decontamination Services, Renewable Energy, Alternative Fuel Production from Waste, and Technology, we are committed to sustainability, innovation, and operational excellence.

As part of our digital-transformation agenda, we are looking for a hands-on Senior Cloud & Infra Engineer (Azure / IoT) to join the Technology & Innovation Department. You will design, build and operate Azure-centric cloud infrastructure and an Industrial/IoT ecosystem—covering cloud services, edge devices, wired/Wi-Fi/cellular networking and electronic integrations—while enabling secure, scalable and cost-efficient operations in line with industry best practices and compliance standards.

Role Overview:

You will act as the technical owner for our Azure and IoT environments, covering everything from device connectivity and data ingestion to cloud resources, networking, and storage. The role is 100 % hands‑on: you will plan, build, automate, troubleshoot, and improve systems yourself—while collaborating with peers in software, data, and operations.

Key Responsibilities:

Role profile – Microservices Solution Architect

A Microservices Solution Architect designs and implements solutions using microservices architecture, ensuring they meet business needs and adhere to technical standards. They collaborate with teams, provide technical guidance, and ensure robust, scalable architectures.

Duties and Responsibilities

Architect, design, and implement microservices-based solutions that align with business requirements and technical standards. 

Provide technical leadership and mentorship to development teams, ensuring proper implementation of designs. 

Work with product owners, business analysts, and other cross-functional teams to understand requirements and deliver solutions. 

Conduct architectural assessments, develop strategies, and create roadmaps for digital programs. 

Proactively identify and resolve architectural challenges, ensuring the system is robust and scalable. 

Design solutions for high performance, throughput, and scalability, considering factors like memory and in-memory tools. 

Ensure the security of microservices and the overall system, considering factors like authentication and authorization. 

Required Skills

A minimum of 8 to 10 years of experience and Deep understanding of microservices principles, patterns, and best practices. 

Proficiency in languages like Java, Spring Boot, or Node.js. 

InfyStrat is looking for a highly skilled Platform Engineer to join our engineering team. In this role, you will be responsible for designing, building, and maintaining the infrastructure and platforms that support our software applications. You will work closely with development teams to ensure that our platforms are scalable, reliable, and efficient. The ideal candidate will have a solid background in platform engineering and a passion for leveraging modern technologies to improve system performance and customer satisfaction. At InfyStrat, we value innovation, teamwork, and continuous improvement, and we are excited to welcome someone who shares these values.

Responsibilities

• Design and implement robust and scalable platform architectures to support application deployment.
• Monitor platform performance and troubleshoot issues to ensure high availability and reliability.
• Collaborate with software development teams to optimize applications for the platform.
• Automate infrastructure provisioning and management using DevOps tools.
• Implement security best practices to protect the platform and data.
• Stay current with emerging technologies and industry trends to continuously enhance the platform.
• Document platform architecture, processes, and configurations for internal knowledge sharing.

Requirements

Being one of the most tech driven shipping companies, we are seeking an AI Specialist with expertise in Machine Learning and Large Language Models (LLMs) to join our Digital Transformation team. You will design and implement AI solutions, fine-tune models like GPT, and build intelligent systems that enhance business processes through automation and advanced analytics.

• Define AI strategies aligned with business goals (e.g., automation, prediction)
• Lead development and fine-tuning of ML/LLM models for industry-specific use cases
• Build full ML pipelines: preprocessing, training, evaluation, deployment
• Develop intelligent agents and autonomous AI workflows
• Monitor models for drift and optimize performance as needed
• Report on performance and recommend retraining or tuning
• Document solutions for smooth internal adoption
• Ensure compliance with data privacy and AI governance standards
• Stay updated on AI trends, tools, and best practices

Requirements

Job Description

Contract Period - 6 months extended

Role:Cloud Engineer

Experience: 4+ Years

Must have skills:

∙Strong understanding of IT infrastructure and operations.

∙Proficiency in Cloud hosting techniques.

∙Programming skills (e.g., Python, Java).

∙Knowledge of cloud computing platforms (e.g., AWS, Azure, GCP).

∙Strong problem-solving and analytical skills.

∙LLM hosting and operations

∙Managing DevOps

Good to have Skills:

∙Ruby on Rails

∙Python

∙Kubernetes, Docker

∙Java

∙Nvidia H200 GPU handling

∙Azure DevOps

∙Azure Cosmos DB

∙Docker & Kubernetes containerization

Key responsibilities:

∙Assessing technology and preparing for cloud transformation

∙Optimizing the architecture before, during, or after cloud migrations

∙Developing systems for the cloud

∙Looking after cloud governance

∙Operating databases on the cloud

∙Implementing measures for cloud security

∙Managing and optimizing the use of cloud resources

USP of role: Exclusive experience of hyperscale cloud computing involving huge interaction with

partners, customer business, IT, and other stakeholders.