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AI Engineer

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We’re now hiring an AI Engineer . You’ll collaborate closely with Product Analysts and Product managers to turn ideas into clear user stories, design and deliver AI-powered features end to end, and drive work across the software development lifecycle - prioritizing, implementing, testing, and deploying solutions that make a real impact.

What You’ll Do:
  • Develop AI-powered Python applications combining LLMs, automation workflows, and company’s fintech platform.

  • Translate business requirements into scalable, maintainable technical solutions using clean coding principles (SOLID, YAGNI).

  • Prototype and iterate quickly , then deliver production-ready software with robust testing.

  • Mentor and coach teams on AI technologies, software design patterns, and automation best practices.

  • Integrate with APIs (REST, GraphQL) and work with SQL, NoSQL, and vector databases.

  • Contribute to AI adoption by building reusable components, templates, and technical guidelines.

  • Work with cloud infrastructure (AWS/GCP/Azure), Kubernetes, Docker, Terraform, and CI/CD pipelines for deployment.

  • Collaborate with cross-functional stakeholders to identify high-value AI automation opportunities and design practical solutions.

  • Participate in Agile development with 14-day sprints, code reviews, and regular team syncs





Requirements

  • Experience : 4-5+ years in software engineering, with strong expertise in Python and its AI/data science ecosystem.

  • AI expertise : Hands-on experience with modern LLMs (OpenAI, Anthropic, Gemini, or open-source), AI frameworks (LangChain, LlamaIndex), and automation tools.

  • Backend skills : Proficiency with Django or similar frameworks, SQL (PostgreSQL/MySQL) & NoSQL databases, and API development.

  • Vector database knowledge is a plus.

  • DevOps familiarity : Docker, Kubernetes, Terraform, CI/CD workflows.

  • Cloud experience : AWS, GCP, or Azure.

  • Business mindset : Ability to quickly grasp new domains and design AI solutions that create measurable impact.

  • Mentorship & communication skills : Capable of explaining complex technical concepts and guiding teams through adoption of new technologies.

  • Language : Fluent English

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