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Entry Level Ai Software Engineer Jobs in New York

Radical AI, Inc. is an artificial intelligence company focused on accelerating scientific research and development in materials R&D. As a Software Engineer, you will build core software for the ...

Software Engineer

New York, NY · On-site

$100K - $250K/yr

Polymathic AI seeks to leverage these ideas to develop the next generation of AI-powered scientific ... The Software Engineer will report to Shirley Ho, Senior Research Scientist and is a full-time fixed ...

Polymathic AI seeks to leverage these ideas to develop the next generation of AI-powered scientific ... The Software Engineer will report to Shirley Ho, Senior Research Scientist and is a full-time fixed ...

Software Engineer

Manhattan, NY · On-site

$100K - $130K/yr

As a Software Engineer, you are early in your career but already know how to build. You learn ... AI tooling to ramp faster, automate repetitive work, and contribute beyond what entry-level ...

Software Engineer

Manhattan, NY · On-site

$100K - $130K/yr

As a Software Engineer, you are early in your career but already know how to build. You learn ... AI tooling to ramp faster, automate repetitive work, and contribute beyond what entry-level ...

As a Software Engineer, you are early in your career but already know how to build. You learn ... AI tooling to ramp faster, automate repetitive work, and contribute beyond what entry-level ...

The Role We are looking for software engineers to build the platform that enterprises use to understand and govern their AI agents. Geordie is building category-defining tooling for agent visibility ...

As a Software Engineer, Applied AI, you will design and improve core systems for AI agents, working at the intersection of engineering and empirical research. Responsibilities : • Build and improve ...

AI Software Internship : Fall 2026 Company : Retensa Industry : AI Software, Management Consulting ... Work with cross-functional teams, including developers and QA, to ensure product shipped meets ...

Software Engineer, AI Agents (Product-Minded LLM / Agentic Systems) Location: Remote (North America) Compensation: $180,000-$320,000 base (location-independent) + equity Contact / Apply: About Our ...

Software Engineer, AI Agents (Product-Minded LLM / Agentic Systems) Location: Remote (North America) Compensation: $180,000-$320,000 base (location-independent) + equity Contact / Apply: aidan ...

Collaborate with software engineers, scientists, and product teams to deliver solutions that address real-world challenges.- * Learn and apply modern technologies such as cloud platforms, AI-assisted ...

Software Engineer, AI Agents (Product-Minded LLM / Agentic Systems) Location: Remote (North America) Compensation: $180,000-$320,000 base (location-independent) + equity Contact / Apply: aidan ...

Software Engineer, AI Agents (Product-Minded LLM / Agentic Systems) Location: Remote (North America) Compensation: $180,000-$320,000 base (location-independent) + equity Contact / Apply: aidan ...

Career framework alignment: Entry-level role on the Software Engineer ladder; this description is ... Use AI-assisted engineering workflows, including Claude Code or similar tools, to support ...

Career framework alignment: Entry-level role on the Software Engineer ladder; this description is ... Use AI-assisted engineering workflows, including Claude Code or similar tools, to support ...

Career framework alignment: Entry-level role on the Software Engineer ladder; this description is ... Use AI-assisted engineering workflows, including Claude Code or similar tools, to support ...

Showing results 21-40

Entry Level Ai Software Engineer information

What does an entry level AI software engineer do?

An Entry Level AI Software Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers, helping with tasks such as data preprocessing, coding algorithms, testing models, and integrating AI features into larger systems. Their responsibilities may also include debugging code, documenting processes, and staying updated with the latest AI trends and technologies. This role is ideal for those who have a foundational understanding of programming and machine learning concepts and are eager to grow their skills in the rapidly evolving field of AI.

What are the key skills and qualifications needed to thrive as an entry level AI software engineer?

To thrive as an Entry Level AI Software Engineer, you need a solid grasp of programming languages like Python or Java, foundational knowledge in machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, version control systems like Git, and basic data handling tools is typically expected. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with cross-functional teams and articulate complex ideas. These skills and qualities ensure you can contribute to AI projects efficiently and adapt to the rapidly evolving field of artificial intelligence.

What types of projects and responsibilities can an entry level AI software engineer expect in their first year on the job?

As an Entry Level AI Software Engineer, you can typically expect to work on tasks like cleaning and preparing datasets, implementing basic machine learning models, and supporting senior engineers with model evaluation and deployment. You may also be responsible for writing production-ready code, collaborating with data scientists, and participating in code reviews. The work environment is often team-oriented, with frequent opportunities to learn from experienced colleagues and contribute to ongoing research or product development. Over time, you'll gain exposure to more complex projects and may be given greater ownership of specific features or modules.

What is the difference between Entry Level Ai Software Engineer vs Data Scientist?

AspectEntry Level Ai Software EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some knowledge of programming and AI frameworksBachelor's or higher in CS, Statistics, or related; programming skills; knowledge of data analysis
Work EnvironmentSoftware development teams, tech companies, AI startupsData analysis teams, research labs, tech firms
Employer & Industry UsageTech companies, AI startups, R&D departmentsResearch institutions, tech firms, finance, healthcare

While both roles require programming skills and a background in AI or data analysis, Entry Level Ai Software Engineers focus on developing AI applications and software, whereas Data Scientists analyze data to extract insights. The roles often overlap in tech environments, but their core responsibilities differ.

What are the most commonly searched types of Ai Software Engineer jobs in New York?

The most popular types of Ai Software Engineer jobs in New York are:

What cities in New York are hiring for Entry Level Ai Software Engineer jobs?

Cities in New York with the most Entry Level Ai Software Engineer job openings:

Infographic showing various Entry Level Ai Software Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Software Engineer

Radical AI

Manhattan, NY • On-site

Full-time

Re-posted 28 days ago


Job description

Job Summary:
Radical AI, Inc. is an artificial intelligence company focused on accelerating scientific research and development in materials R&D. As a Software Engineer, you will build core software for the autonomous lab and AI platform, working across various technical domains including backend services and data orchestration.
Responsibilities:
• Build the core software that powers our autonomous lab and AI platform.
• Work on backend services, agent tooling, data + orchestration, internal platforms, and infrastructure.
• Design, build, and ship production software end-to-end.
• Develop agent capabilities and tools, such as API integrations and workflow automation.
• Orchestrate scientific workflows, including experiment scheduling and job execution.
• Create pipelines for data ingestion, storage, and transformation used by models.
• Develop internal platforms to enhance engineering productivity, such as developer tooling and shared services.
• Implement observability and reliability systems, including structured logs and metrics.
• Manage hybrid infrastructure involving cloud and on-prem solutions.
Qualifications:
Required:
• Strong fundamentals: you can design, build, and ship production software end-to-end.
• Experience with modern backend development (Python, Go, Rust, or similar).
• Familiarity with concurrent and asynchronous programming, including event loops, cancellation semantics, bounded queues, and task orchestration under failure modes. You know how to handle timeouts, retries, and device-level race conditions.
• Comfort with distributed systems realities: timeouts, retries, async/concurrency, partial failure, debugging in production.
• Experience designing and operating fault-tolerant distributed systems, where retries, idempotency, dead-letter queues, and safe rollback are all table stakes.
• Familiarity with Kubernetes and containerization.
• Strong engineering taste: you prioritize correctness, maintainability, and clear interfaces.
• High ownership: you proactively find problems, drive fixes, and raise the bar for quality.
Preferred:
• Experience with agentic systems / LLM workflows (LangChain, PydanticAI, tool-calling, context management).
• Infrastructure experience: Docker, Kubernetes, Terraform/CloudFormation, cloud + on-prem deployments.
• Experience with CI/CD systems (GitHub Actions, Jenkins, CircleCI) and/or DevSecOps practices.
• Experience with embedded protocols (e.g., serial, I²C, Modbus), device virtualization, or microcontroller firmware.
• Strong observability experience (Datadog, Prometheus, Grafana, ELK, tracing).
• Contributions to systems for robotics, automation, or manufacturing infrastructure.
• Frontend engineering experience with Svelte, React, or similar frameworks. You’ve built responsive, real-time interfaces and care about state management, testing, and usability. You’ve worked with structured APIs and understand browser performance implications.
• Comfort designing reproducible and testable systems for devices that don’t always behave perfectly.
Company:
Radical AI develops and applies artificial intelligence and automated laboratory systems to accelerate materials research and discovery. Founded in 2024, the company is headquartered in New York, USA, with a team of 11-50 employees. The company is currently Early Stage.