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

How to Apply :

Please submit your resume here "mlola0523@gmail.com" and. It will be great if you can share a portfolio demonstrating your best works.