AI Software Engineer

Your Role and Responsibilities:

As an AI software engineer - design, build, deploy and maintain AI, ML and GenAI powered software solutions. Work on bridging software engineering and machine learning by transforming models into scalable, secure, and production-ready systems that solve real business problems. Experience in handling LLMs, prompt engineering, embeddings, and vector databases. Delivery using leading-edge and/or proven technologies, working closely with stakeholders to meet requirements and expectations. Working in an Agile, collaborative environment to understand stakeholder requirements, aligning with team goals and objectives.

Required Education:

Bachelor’s Degree

Required Technical and Professional Expertise:

AI & Machine Learning Development

• Design, develop, evaluate, and optimize machine learning and Generative AI solutions
• Select appropriate algorithms and frameworks based on business and technical requirements
• Experience in handling LLMs, prompt engineering, embeddings, and vector databases.
• Hands on experience on handling structured data in generative AI solutions
• Experience on working with RAG solutions
• Experience on working with Front end framework like React.Js
• Hands on experience on Python, REST API, microservices

Software Engineering

• Build scalable, maintainable, and modular AI-driven applications
• Integrate AI models into backend services, APIs, and enterprise systems
• Write clean, testable, and efficient code following best engineering practices

Deployment

• Deploy models or services using containers, cloud platforms
• Monitor solution performance, latency, and reliability in production

Data & Collaboration

• Collaborate with product managers and domain experts
• Work with large structured and unstructured Databases

Security, Ethics & Compliance

• Ensure responsible and ethical AI development
• Address model bias, explainability, privacy, and security concerns
• Comply with organizational and regulatory standards

Preferred Technical and Professional Experience:

• Familiarity with Agile development
• Demonstrated ability to operate within short release cycles
• Ability to develop and deploy following best-in-class engineering practices
• Experience designing enterprise level solutions for clients
• Ability to explain complex AI concepts to non-technical stakeholders

**Years of Experience:**
4 - 7