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Requirements:
Knowledge and Experience
Recently completed a bachelors degree in Computer Science, Information Systems Engineering, Software Engineering, or a related field from a leading university, with an average grade of 90 or higher.
Knowledge of or experience with Node.js and TypeScript.
Knowledge of web development technologies (e.g., HTML, CSS, React).
Familiarity with databases, including SQL and NoSQL.
Familiarity with version control systems (e.g., Git).
Understanding of software testing and quality assurance practices.
Prior experience with software development projects or internships.

Skills
Ability to perform in a global company, in a multi-cultural environment
Strong organizational and time management skills
Ability to prioritize tasks effectively
Strong work ethic, proactive, self-motivated, and results-driven
Excellent communication and collaboration skills
Proficient in spoken and written English

Requirements:
Knowledge and Experience
4+ years of backend development experience with strong proficiency in Python.
Proven hands on experience building and shipping GenAI powered features to production.
Strong experience with Python GenAI frameworks such as LangChain, LangGraph, Strands, or similar orchestration frameworks.
Experience integrating LLM APIs into live distributed systems.
Experience implementing structured outputs, validation layers, and guardrails.
Familiarity with evaluation frameworks and LLM quality measurement techniques.
Experience building RESTful APIs.
Strong understanding of clean architecture, scalability, and production best practices.

Advantages
Experience designing and implementing RAG pipelines.
Experience with MCP servers, A2A architectures, or multi agent systems.
Experience working with embeddings and vector databases.
Proficiency in TypeScript (Node.js or ReactJS).
Experience with AI observability, monitoring, and evaluation tooling.

Requirements:
Knowledge and Experience
0-2 years of experience in one of the following areas: Product, Business Analysis, Consulting, QA, Customer Success, or a similar analytical role within a technology or B2B environment.
Recently completed a bachelors degree in Industrial Engineering and Management / Computer Science / Software Engineering or a related analytical field from a leading university, with strong academic performance (or equivalent demonstrated excellence).
Demonstrated ability to translate business needs into structured requirements, through academic projects, internships, military roles, or professional experience.
Full professional proficiency in English is mandatory. The role involves daily communication with global customers and cross-functional teams, including leading meetings, writing structured documentation, and presenting requirements clearly
Analytical thinking and structured problem-solving ability.
Ability to work effectively with engineers and designers in a structured development environment.

Advantages
Native or near-native English proficiency (ability to communicate and present at the same level as a first-language speaker).
Spanish language proficiency.
Exposure to B2B, fintech, enterprise software environments, or background in finance or trade finance.

Skills
Strong communication skills and ability to structure and explain problems clearly.
High level of curiosity and willingness to ask why.
Ability to manage multiple small tasks while maintaining attention to detail.
Strong organizational and prioritization skills.
Collaborative mindset and ability to work in cross-functional teams.
Proactive, self-motivated, and eager to learn.

Requirements:
Minimum 5 years of experience in outbound product management - Must.
Experience working with multidisciplinary products with good understanding of system architecture - Must.
Experience working in Computer Vision related technologies/products - advantage.
B.Sc / M.Sc in a related engineering field - Must.
Fluent in English; Spanish or Portuguese is a plus.
Creative and innovative mindset, hands-on attitude with a strong drive for results.
Industry experience such as: Rail, Automotive, Defense, Medical - an advantage.

Requirements:
At least 5 years experience as a researcher and development of deployed models.
Strong understanding in deep-learning algorithms and computer vision.
M.Sc. in computer science, or very experienced B.Sc. or Engineering, or a related technical field.
Experience in Python & PyTorch or other machine learning frameworks and mathematical modelling.
Good communication skills, self-motivated, proactive, flexible and passionate about learning.
Focused on end-to-end delivery of solutions for real world scenario in challenging timeframe.