AI Engineer - India

Namely; Mountain View (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Strong engineering culture

Clear growth path

Collaboration with talented engineers

Job summary

Namely is seeking an AI Engineer to design, build, and scale high-quality software systems powering our product platforms. The ideal candidate will have strong experience in Java and AWS, and a good understanding of SQL and NoSQL data stores.

You will be responsible for implementing backend services, developing cloud-native applications, and integrating AI capabilities into real-world systems. Join a strong engineering culture and grow your career in a company focused on collaboration and technical excellence.

Qualifications

• 3-4 years of hands-on software engineering experience building production systems.
• Strong experience with Java in backend and micro-service-oriented architectures.
• Hands-on experience with AWS services (EC2, S3, RDS, Lambda, etc.).
• Experience working with SQL and NoSQL databases in production.

Responsibilities

• Design, implement, and maintain backend services and APIs using Java, Python, and modern frameworks.
• Build and operate cloud-native services on AWS.
• Develop and expose API-first services using REST and GraphQL.
• Integrate AI or ML capabilities into applications.

Skills

Java

AWS

SQL

NoSQL

Docker

Kubernetes

React

Job description

Job Title: AI Engineer

Location: Hyderabad, India

Years of Experience: 3‑4 years of hands‑on software engineering experience building production systems.

Position Overview

We are seeking an AI Engineer to design, build, and scale high‑quality software systems that power our product platforms. The role requires solid backend fundamentals, cloud experience, and growing exposure to AI‑driven development. The ideal candidate has strong experience with Java and AWS, a good understanding of SQL and NoSQL data stores, and hands‑on experience integrating AI or Generative AI capabilities into real‑world applications. You will work closely with senior engineers, architects, and product teams to deliver reliable, scalable solutions that drive customer value.

Key Responsibilities

• Design, implement, and maintain backend services and APIs using Java, Python, and modern frameworks.
• Build and operate cloud‑native services on AWS, ensuring scalability, reliability, and performance.
• Develop and expose API‑first services using REST and GraphQL.
• Build and maintain frontend applications using React, Tailwind CSS, and TypeScript.
• Write clean, maintainable, well‑tested code following engineering best practices.
• Design and work with SQL and NoSQL databases to support high‑scale application workloads.
• Implement data access patterns with a focus on performance, reliability, and consistency.
• Contribute to event‑driven and asynchronous processing where appropriate.
• Integrate AI or ML capabilities into applications, including LLM‑based features or intelligent automation.
• Collaborate on AI‑enabled system designs and apply best practices for safe, reliable, and cost‑effective use of AI services.
• Deploy and operate services on AWS using Docker and Kubernetes (EKS).
• Contribute to CI/CD pipelines, automated testing, and infrastructure automation.
• Monitor, debug, and optimize production systems.
• Partner with QA, DevOps, and Security teams to ensure quality and compliance.
• Work closely with Product Managers, UX designers, and cross‑functional teams to deliver customer‑facing features.
• Participate in code reviews, design reviews, and technical discussions.
• Mentor junior engineers and contribute positively to team culture.

Qualifications & Skills

• 3‑4 years of hands‑on software engineering experience building production systems.
• Strong experience with Java in backend and micro‑service‑oriented architectures.
• Hands‑on experience with AWS services (EC2, S3, RDS, Lambda, etc.).
• Experience working with SQL and NoSQL databases in production.
• Experience building RESTful APIs; exposure to GraphQL is a plus.
• Experience with Docker; exposure to Kubernetes (EKS) is a plus.
• Strong problem‑solving skills and a quality‑first mindset.
• Knowledge of infrastructure as code (Terraform or AWS CDK) is a plus.
• Experience in agile, product‑driven environments.
• Nice to have: exposure to AI or Generative AI in production systems.
• Experience with modern frontend frameworks (e.g., React).

Benefits

• Strong engineering culture: build well‑architected, high‑quality systems.
• Clear growth path toward staff, principal, or AI‑focused roles.
• Modern stack: Java, AWS, Kubernetes, SQL/NoSQL, and AI‑enabled services.
• Collaboration with talented engineers, product leaders, and designers.
• Core values of shattering boundaries, sparking greatness, and sharing success.