Software Engineer II, Enterprise AI Enablement (Employer of Record)

Outcomes and Activities:

• Work closely with customers, product partners, and team members to understand workflows, clarify requirements, and translate needs into well-scoped technical deliverables.

• Build applied AI capabilities across high-value enterprise workflows such as automation, document intelligence, decision support, fraud intelligence, and intelligent assistants.

• Implement components of context-aware AI systems that integrate prompts, tools, APIs, retrieval patterns, and business logic using established architecture patterns.

• Contribute to reusable engineering building blocks, services, and platform capabilities that can support multiple enterprise workflows rather than one-off solutions.

• Identify when existing agents, models, APIs, or platform capabilities can be reused and contribute to practical build vs. reuse recommendations.

• Stay current on practical AI engineering patterns and bring forward ideas that improve quality, speed, or customer value.

• Design and develop software and improve existing code

• Write unit-tests and validate your software against acceptance criteria

• Apply team coding, documenting and testing standards

• Conduct impact analysis to proactively identify impact of a change within an application

• Participate in code reviews and communicate application changes

• Document code and projects so others can easily understand, maintain and support

• Debug the problems which arise in production and propose effective solutions

• Read and write design documents

• Learn the business process domain to better support the business

• Contribute to team's sprint commitments and actively participate in our Agile practices

• Contribute to continuous learning activities to improve design and code quality as well as to increase application domain knowledge

• Guide and aid less experienced software engineers

Competencies: The following items detail how you will be successful in this role.

• Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience.

• Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions.

• One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively.

• Owner’s Mindset: Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business.

Requirements:

• Bachelor’s degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience

• Minimum 2 years of software engineering experience or comparable depth of experience

• Experience developing applications that integrate with AI services, enterprise APIs, data platforms, or workflow automation capabilities.

• High ownership, sound judgment, and ability to operate effectively in partially defined or ambiguous problem spaces, with a bias for action.

• Strong grasp of software engineering fundamentals, including system design, APIs, CI/CD, version control, and disciplined development workflows

• Use of one or more object-oriented programming languages and design patterns

• Willingness to participate in an on-call rotation

Preferred:

• Advanced degree in Computer Science, Machine Learning, Information Systems, or a related technical field.

• Experience building generative AI, automation, intelligent assistant, or AI-enabled workflow capabilities in production or production-like environments.

• Experience with reliability, observability, evaluation, guardrails, API integration, or compliance considerations for AI-enabled systems.

• Experience using modern developer tools and AI-assisted engineering practices to improve development speed, code quality, testing, or maintainability.

Knowledge and Skills:

• Show initiative and offer assistance when needed

• Be introspective and open to feedback to continuously improve. Prioritize personal development and identify potential barriers

• Be collaborative with other team members, seeking a diversity of thought to meet business outcomes

• Ability to communicate complex technical information (both verbal and written) to all levels, including senior leadership

CTC Range: ₹27.32.275 – ₹40.07.275

Total Compensation (CTC): Final CTC will be shared during the offer stage and will include all compensation components in detail as per EoR vendor's structure.

Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications.