Software engineer

As a Software Engineer with 3+ years of experience, you will be responsible for designing, building, and deploying scalable AI/ML-powered applications on AWS Cloud. You will play a crucial role in architecting serverless solutions, implementing low-level designs, and integrating LLMs into AI-driven workflows. Additionally, you will collaborate with cross-functional teams, contributing to architectural decisions.
What We Do
Labra is one of the leading software product development companies, building cloud-native B2B SaaS software helping customers in their cloud transformation journey. We are rapidly growing and looking to hire smart people who can continue fueling our growth and become part of our success journey.

Work location:

In-office - Bengaluru

Why should you be interested in this opportunity?

Accelerated Career Growth:
Enjoy the freedom and tools to rapidly advance your career, while also empowering your team members' growth.

Positive Team Culture:
Thrive in a team culture built on respect, humility, a growth mindset, and an enjoyable work environment.

Learn from Brilliant Minds:
Collaborate with intelligent colleagues who offer opportunities for continuous learning and growth.

Exciting Challenges:
Contribute to cutting-edge projects in a dynamic environment, focusing on distributed, fault-tolerant cloud systems instead of dull legacy systems.

Autonomy and Flexibility:
No micromanagement – you set delivery timelines based on a commitment to quality results.

Recognition and Rewards:
Your hard work is acknowledged with rewards and recognition.

Investment in Development:
Access training and career development programs to enhance your skills.

Work-Life Balance:
Benefit from life insurance, paid parental leave, and vacation days to support your personal life.

Responsibilities

• Design, develop, and deploy highly scalable, serverless applications using AWS Lambda, Step Functions, DynamoDB, SNS, SQS, and S3.
• Implement low-level designs for AI/ML-powered applications, ensuring scalability, reliability, and security.
• Architect and manage AWS infrastructure using CloudFormation, Terraform, and AWS CDK.
• Work with LLMs (Large Language Models) and ML concepts to build intelligent AI solutions.
• Develop APIs using FastAPI for serving AI models and processing data.
• Write clean, maintainable, and well-documented code, ensuring adherence to SOLID principles and best coding practices.
• Optimize and handle compute-heavy tasks efficiently in a cloud environment.
• Apply computer science fundamentals (OOP, operating systems, and database management) to build robust applications.
• Collaborate with cross-functional teams to integrate AI capabilities into various business applications.
• Conduct code reviews, enforce code quality, and follow DevOps best practices.
• Work with CI/CD pipelines to automate deployment and cloud infrastructure management.
• Actively participate in Agile development workflows and sprint planning.
• Mentor and guide trainee engineers and interns to foster their technical growth.

Requirements

• 3 years of experience in software engineering, with a strong understanding of AWS serverless architectures.
• Strong problem-solving skills and proficiency in Data Structures & Algorithms (DSA).
• Experience with AWS services such as Lambda, API Gateway, DynamoDB, S3, CloudFormation, IAM, and Step Functions.
• Strong programming skills in Python, with experience in writing modular, testable, and maintainable code.
• Proficiency in FastAPI for developing and deploying APIs.
• Solid understanding of machine learning concepts, including LLMs, AI Agents, and vector databases.
• Strong grasp of Object-Oriented Programming (OOP), Operating Systems, and Computer Science fundamentals.
• Ability to design and implement scalable low-level architecture.
• Experience with Git, code reviews, and CI/CD pipelines.
• Familiarity with Agile methodologies and team collaboration in sprints.
• Experience with Test-Driven Development (TDD) or Behavior-Driven Development (BDD) for functional and unit testing.
• The foremost requirement is a growth mindset, accompanied by a strong willingness to learn, take calculated risks, embrace challenges, prioritize results, and uphold full accountability for commitments. Being an exceptional team player who fosters positive working relationships is essential.
• A self-starter and determined finisher who approaches challenges with a positive, can-do attitude and a strong inclination towards taking action.
• Proficiency in both written and verbal communication skills is essential for effective collaboration and conveying ideas.
• Prior experience in product development within startup companies is beneficial.