Software Engineer - Gen AI

Role Overview: Software Engineer - GenAI

The Software / GenAI Engineer plays a critical role in developing Generative AI solutions on AWS Cloud. This position offers a valuable opportunity to deepen technical expertise in AI frameworks, cloud infrastructure, and application development, while actively contributing to the delivery of production-grade GenAI systems. Working under the guidance of senior engineers and architects, you’ll participate in building scalable, innovative AI solutions and growing your skills in a collaborative, fast-paced environment.

Key Responsibilities

AI Agent Development & Support

• Develop Generative AI agents leveraging AWS Cloud infrastructure
• Assist in deploying AI solutions for production environments under senior mentorship
• Work with AI frameworks such as LangChain, CrewAI, AutoGen, and LlamaIndex for specific use cases
• Learn and apply prompt engineering techniques and model optimization strategies
  
  

Application Development & Architecture

• Build full-stack applications using modern development practices and AI agent tools (e.g., Cursor, GitHub Copilot).
• Develop scalable REST APIs with authentication, validation, and robust error handling.
• Integrate databases for AI workloads, including vector databases and traditional relational databases
  
  

Collaboration & Continuous Growth

• Collaborate with cross-functional teams to understand business needs and technical constraints.
• Contribute to technical discussions and architectural decisions.
• Document implementations and share knowledge across the team.
• Engage in hands-on learning with structured mentorship and project exposure
  
  

Requirements

Qualifications

Core Competencies

• 3–4 years of software development experience, including exposure to cloud technologies.
• Additional 6+ months of hands-on experience with Generative AI, LLMs, or AI frameworks.
• Proficient in Python and/or TypeScript.
• Strong understanding of REST API development.
• Basic to intermediate understanding of both SQL and NoSQL database systems.
• Familiarity with Terraform or willingness to learn infrastructure automation.
• Effective communication skills and a team-oriented mindset.
• High motivation to learn and grow in AI and cloud architecture domains
  
  

Technical Skills

• Experience with AI frameworks like LangChain, CrewAI, or similar.
• Understanding of prompt engineering techniques and optimization strategies.
• Familiarity with AWS services (e.g., Lambda, S3, RDS, EC2).
• Proficiency with development tools including Git, Docker, and modern CI/CD workflows.
• Working knowledge of PostgreSQL or similar databases.
• Hands-on experience with building and consuming RESTful APIs.
• Basic understanding of DevOps tools such as GitHub Actions and Terraform
  
  

Preferred Qualifications

• Exposure to telecom or banking industries.
• AWS Cloud Practitioner or Developer Associate certification.
• Interest in advanced Terraform and cloud architecture training.
• Academic or professional exposure to machine learning.
• Contributions to open-source projects or personal AI projects
  
  

Learning & Development

Learning Opportunities

• Direct mentorship from senior engineers and AI architects.
• Access to structured training in AI, LLMs, and AWS technologies.
• Hands-on project work across multiple AI use cases and industries.
• Support for AWS and AI certifications
  
  

Skill Development Areas

• Design of high-scale, fault-tolerant AI architectures.
• Performance tuning and cost optimization techniques.
• Leadership through project ownership and mentorship roles.
• Domain expertise in telecom and banking sectors
  
  

Soft Skills & Professional Growth

• Strong problem-solving and debugging skills.
• Clear written and verbal communication.
• Team collaboration in agile environments.
• Adaptability to fast-changing technologies and priorities.
• Self-driven and proactive learning attitude
  
  

Industry Exposure (Preferred)

• Understanding of the software development lifecycle and agile methodologies.
• Experience with cloud services and modern application architectures.
• Integration of third-party APIs and data transformation workflows
  
  

Benefits

What We Offer

• An opportunity to be part of an agile, highly proficient and experienced AI/ML team
• An opportunity to work on challenging data science and machine learning problems with customers and seeing your work deployed in action
• A fast-paced software development environment that uses the latest open-source tools across the development stack
  
  

Benefits

We provide a competitive salary and benefits package, a vibrant work environment, and numerous opportunities for professional growth. You'll have the opportunity to work with a team of industry experts on exciting projects that transform businesses and create significant value. Join us to revolutionize the way companies leverage technology for digital transformation.

OnebyZero is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.