AI Engineer

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 Twisto’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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