Senior AI Engineer - Contract to Hire

Company Description

CYGNUSA Technologies delivers innovative IT solutions by combining deep industry expertise, state-of-the-art technologies, and a commitment to excellence. Guided by core values emphasizing honesty, agility, quality, and social responsibility, CYGNUSA strives to empower organizations with strategic approaches tailored for long-term success. The company focuses on helping clients achieve operational and financial growth through technology-driven business transformation. With a strong customer-centric approach, CYGNUSA is dedicated to creating impactful and sustainable solutions that drive real-world results.

Role Description

We are looking for a motivated Senior AI Engineer with around 4+ years of hands-on experience to support the design, development, and deployment of AI-driven solutions. The ideal candidate should have a strong foundation in machine learning and Python, exposure to Generative AI concepts, and a keen interest in modern AI frameworks such as RAG, LangChain, and open-source LLMs.

This role offers an excellent opportunity to work on real-world AI applications, collaborate with experienced engineers, and develop expertise in scalable AI systems.

• Assist in developing, training, and deploying machine learning models for NLP, Computer Vision, and Generative AI use cases.
• Work with pre-trained and open-source LLMs for applications such as content generation, summarization, and Q&A systems.
• Support implementation of Retrieval-Augmented Generation (RAG) pipelines under guidance.
• Use LangChain / LangGraph to build basic multi-step workflows and AI agents.

• Support development of data pipelines using Python, SQL, Spark/PySpark for AI model inputs.
• Work with cloud services such as AWS, GCP, or Azure for model deployment and data storage.
• Assist in integrating AI models with backend APIs and enterprise platforms.

• Use AI libraries and frameworks such as Scikit-learn, TensorFlow, PyTorch, Hugging Face.
• Support model deployment, monitoring, and versioning using basic MLOps/LLMOps practices.
• Assist in prompt engineering and tuning LLM outputs for accuracy and relevance.

• Collaborate with senior engineers, product managers, and data teams to understand business requirements.
• Participate in code reviews, documentation, and testing activities.
• Continuously learn and experiment with emerging AI technologies and best practices.

• 3+ year of experience in AI/ML development.
• Exposure to deploying or integrating ML models in real-world or production-like environments.

• Strong foundation in Python and basic understanding of async programming.
• Knowledge of machine learning algorithms and introductory deep learning concepts.
• Familiarity with TensorFlow, PyTorch, or Scikit-learn.
• Exposure to LLMs, RAG, LangChain, or Hugging Face is a plus.
• Basic understanding of SQL, data preprocessing, and ETL workflows.
• Familiarity with Docker and basic CI/CD concepts is an advantage.

• Strong problem-solving and analytical thinking.
• Good communication and willingness to learn from senior team members.
• Ability to work collaboratively in a fast-paced environment.

• Bachelor’s degree in Computer Science, AI, Data Science, Engineering, or a related field.