AI Software Engineer

About the Job :

We’re looking for a versatile AI Developer who enjoys moving fluidly across the entire AI solution lifecycle-from shaping ideas with stakeholders through to delivering production-ready intelligent features. You’ll sit at the intersection of software engineering, data, and product, helping us turn large, messy problems into clear, reliable, and responsible AI-powered experiences.

Key Responsibilities :

Collaborate end-to-end: Partner with product managers, designers, data engineers, and domain experts to translate business opportunities into AI-enabled features.
Design & build solutions: Architect, implement, and iterate on the components (services, pipelines, or integrations) that bring intelligence into our applications-selecting the right approaches, tools, or services for the problem at hand.
Operationalize AI: Package, test, deploy, and monitor AI assets in production environments, ensuring they remain scalable, performant, explainable, and cost-effective.
Drive continuous improvement: Evaluate emerging methods, conduct lightweight experiments or proof-of-concepts, and feed learnings back into the roadmap.
Champion best practices: Promote clean code, reliable data handling, reproducibility, documentation, and ethical AI guidelines across the team.
Cross-functional communication: Explain complex technical ideas in plain language, gather feedback, and help non-technical colleagues make informed decisions.

Qualifications & Skills :

Solid programming experience in at least one general-purpose language (e.g., Python, Java).
Practical familiarity with modern AI/ML libraries, frameworks, or cloud-native AI services.
Good understanding of data structures, algorithms, and software-engineering fundamentals (testing, CI/CD, version control).
Experience shipping or supporting data-driven features in a production environment (web, mobile, edge, or embedded).
Comfortable navigating the full solution stack-data ingestion, feature engineering, model evaluation, deployment, and monitoring-even if you’re not a deep specialist in any one layer.
Strong analytical mindset, growth orientation, and willingness to learn new tools or paradigms as needed.
Clear written and verbal communication skills, plus a collaborative, product-focused attitude.

Basic Requirements

Demonstrated commitment to an AI-first approach - you should instinctively think in terms of AI solutions before traditional coding methods
Minimum 5-year track record in professional technology roles
Strong command of Python programming and AWS cloud services
Hands-on experience with modern AI coding assistants (Github Copilot, Cursor.sh, v0.dev)
Proven success in implementing Generative AI solutions with measurable business impact
Demonstrated expertise in utilizing various LLM APIs (GPT, Claude, Mistral) for practical business applications