Company Overview :

ViitorCloud Technologies is a premier IT services company dedicated to delivering cutting-edge information technology solutions and driving digital transformation for clients worldwide.

With operations in over 30 countries, including Spain, the UK, Canada, and the US, ViitorCloud leverages innovative technology to provide clients with a competitive edge, aiming for long-term success.

Our commitment to excellence ensures unmatched quality of deliverables, exceptional customer support, and guaranteed client satisfaction. By understanding diverse ideas and cultures, we maintain a respectful and empathetic environment. Excited to learn more? Visit www.ViitorCloud.com for further details!

Responsibilities :

- Develop Deep Learning models, focusing on NLP, Large Language Models (LLMs), and Generative AI.

- Design and implement agentic workflows and multi-agent systems for autonomous task execution and decision-making.

- Build intelligent agents capable of planning, reasoning, and executing complex workflows with minimal human intervention.

- Deep understanding of architectures, hyperparameters, and training techniques to achieve state-of-the-art results.

- Prepare and preprocess datasets, including managing vector stores for efficient data retrieval.

- Train and fine-tune models, implementing RAGs (Retrieval-Augmented Generation) to enhance content relevance and accuracy.

- Develop agent orchestration systems that can coordinate multiple AI models and tools to accomplish complex business objectives.

- Deploy scalable, robust models to production environments.

- Translate business requirements into technical solutions by working with cross-functional teams.

- Continuously research and adopt advancements in Deep Learning, NLP, and LLMs.

- Maintain comprehensive documentation of models, code, and workflows.

- Participate in code reviews and provide constructive feedback to ensure code quality.

- Research and implement advanced ML techniques to improve model accuracy and efficiency.

- Communicate technical concepts and project updates effectively to both technical and non-technical stakeholders.

Desired Skills & Expertise :

- Expertise in NLP techniques (e.g., text classification, sentiment analysis, text generation).

- Strong understanding of large language models and their applications.

- Experience with agentic AI frameworks and multi-agent systems (e.g., LangGraph, LangChain, AutoGen, CrewAI, or similar).

- Knowledge of agent planning algorithms, tool integration, MCP and autonomous decision-making systems.

- Experience with workflow orchestration tools and agent deployment frameworks.

- Deep Understanding of prompt engineering, function calling, and tool use in LLM-based agents.

- Experience in Monitoring agent drift, hallucinations, failure modes

- Design and implement guardrails to ensure model safety, reduce hallucinations, and prevent prompt-based vulnerabilities.

- Build robust logging, tracing, and analytics systems to monitor agent behavior, performance, and workflow execution.

- Proficiency in Python and experience with data engineering/pipeline development.

- Hands on experience in cloud platforms like AWS, GCP, or Azure, and knowledge of MLOps.

- Exposure to containerization tools like Docker or orchestration tools like Kubernetes.

Good to Have :

- Experience with web development frameworks such as Flask, Django, or Fast API.

- Knowledge of reinforcement learning and its applications in agent training.

- Experience with graph databases and knowledge representation for agent reasoning.

- Familiarity with distributed systems and microservices architecture for agent deployments.

- Understanding of human-AI interaction patterns and agent user experience design.

Education :

- Bachelor's degree in computer engineering (BE) or equivalent.

Requirements :

- 4 - 5 years of relevant industry experience