Shape What's Next

Job Description:

At NeuBird, we’re building the future of real-time reactive IT operations with Generative AI. Our Agentic AI SRE is an autonomous AI Agent that detects, diagnoses, and resolves production incidents in real time. By combining decades of enterprise engineering experience with the latest in Large Language Models, we’re tackling one of the hardest problems in IT today.

As a Senior Backend Engineer, you’ll work at the intersection of AI and backend engineering, designing the foundational services and orchestration systems that make this vision possible. From mission-critical APIs to distributed orchestration, you’ll have high impact from day one—moving fast, solving cutting-edge challenges, and shaping the core architecture of a next-generation AI platform.

What You’ll Do

• Build and scale backend services that power AI-driven automation. 
• Develop Python-based APIs and orchestration systems that integrate with AI models and agentic workflows. 
• Optimize performance, reliability, and resilience across large-scale distributed systems. 
• Collaborate with AI and product teams to embed intelligence into backend services. 
• Help drive architectural decisions and engineering best practices in a fast-paced environment. 

What We’re Looking For

• Strong backend experience building high-performance APIs and distributed systems. 
• Solid programming skills in Python, Go (or similar languages). 
• Knowledge of cloud platforms, SaaS, microservices, and Kubernetes. 
• Proven ability to scale and optimize backend systems. 
• Curiosity about emerging technologies, with a plus for AI/ML integration experience. 

Why You’ll Love It Here

• Impact at Scale – Your work directly powers AI agents keeping mission-critical services online. 
• Cutting-Edge Problems – Operate where backend engineering meets AI-driven orchestration. 
• High Growth & Autonomy – Scale your role and influence as the company grows. 
• Fast-Paced, Collaborative Team – Work with passionate builders who value speed, creativity, and impact. 

To apply, email: careers@neubird.ai

 

Apply Here

Job Description:

As an AI engineer, you will be involved in model training, deployment, and maintenance. You will work with RLHF and fine-tuning of LLMs. This role requires a blend of analytical skills, creativity, and strong AI domain knowledge. This role is critical in delivering an enterprise experience with LLMs.

Responsibilities:

• Lead the development and customization of large-scale language models that drive the NeuBird platform.
• Implement and experiment with RLHF to enhance model performance and decision-making.
• Collaborate with cross-functional teams to integrate language models into various applications and platforms.
• Work on model fine-tuning, performance optimization, and continuous improvement.
• Stay up-to-date with the latest research and trends in language modeling and RLHF.
• Contribute to research projects and technical publications.
• Participate in code reviews and mentorship of junior engineers.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
• Experience with model training, deploying, and maintenance.
• Strong knowledge of reinforced feedback techniques and reinforcement learning.
• Proficiency in frameworks like PyTorch, TensorFlow, or similar.
• Familiarity with NLP, text generation, and language understanding.
• Strong problem-solving skills and a passion for addressing complex AI challenges.
• Excellent communication and collaboration abilities.
• Self-motivated and eager to stay at the forefront of AI advancements.

To apply, email: careers@neubird.ai

 

Apply Here

Job Description:

At NeuBird, we’re building the future of real-time reactive IT operations with Generative AI. Our Agentic AI SRE is an autonomous AI Agent that detects, diagnoses, and resolves production incidents in real time. To deliver this vision to customers, we need engineers who can build, test, and refine solutions, making sure every feature performs flawlessly in real-world environments.

As a Solution Engineer, you’ll work at the intersection of product, engineering, and customers—building solutions, validating new features, stress-testing systems, and running customer POCs. You’ll move fast, work across teams, and directly influence how customers experience our AI-driven platform.

What You’ll Do

• Build and deliver solutions for internal use and customer POCs, ensuring they meet real-world needs.
• Test and validate new features, integrations, and solutions before release.
• Run customer POCs and pilots, designing test plans that reflect real-world scenarios.
• Collaborate closely with backend, AI, and product teams to identify gaps and ensure seamless end-to-end performance.
• Create and maintain automation scripts and frameworks to streamline solution development and validation.
• Provide actionable feedback that shapes product direction and enhances customer outcomes.

What We’re Looking For

• Strong experience in solution building, testing, and validation.
• Familiarity with APIs, distributed systems, and cloud platforms (AWS/GCP/Azure).
• Hands-on with automation tools and scripting (Python preferred).
• Comfortable working directly with customers on POCs and pilots.
• Curiosity and adaptability to work where AI meets backend orchestration.

Why You’ll Love It Here

• Direct Customer Impact – The solutions you build and validate will power critical AI-driven operations for enterprises.
• Varied Challenges – Work on everything from backend APIs to AI-driven workflows in real-world scenarios.
• High Growth & Visibility – Influence product delivery, engineering decisions, and customer outcomes.
• Fast-Paced, Collaborative Team – Join a passionate group of builders who value speed, creativity, and impact.

To apply, email: careers@neubird.ai

Apply Here