AI/ML Engineer (Agentic AI)

Company Description Script Forge is a global IT services and consulting firm specializing in SAP, Oracle, enterprise software, cyber security, and end-to-end staffing solutions. The company partners with organizations worldwide to deliver scalable, high-quality, and innovative technology services. With a technology-agnostic approach, Script Forge focuses on driving digital transformation, optimizing operations, and enabling sustainable growth. Teams combine deep technical expertise with practical industry insight to help clients modernize their systems and processes. The culture emphasizes collaboration, continuous learning, and impactful problem-solving.

Role Description This is a full-time, on-site AI/ML Engineer (Agentic AI) role based in Hyderabad. The AI/ML Engineer will design, develop, and deploy agentic AI systems, including autonomous and semi-autonomous agents that interact with APIs, tools, and enterprise data sources. Day-to-day responsibilities include building and training machine learning and deep learning models, implementing neural network architectures, and applying pattern recognition techniques to real-world business problems. The role involves working closely with cross-functional stakeholders to translate requirements into robust algorithms, conducting exploratory data analysis, and evaluating model performance using statistical methods. The engineer will also contribute to code reviews, maintain clean and scalable ML pipelines, document solutions, and support the integration of AI components into production environments.

Qualifications

• 5+ years of experience in AI/ML.
• Minimum 1 year of hands-on experience with Claude AI or Core AI.
• Experience in Agentic AI/Agentic Coding, AI agents, and LLM-based solutions.
• Strong knowledge of prompt engineering, AI automation, and application development.
• Strong foundation in Computer Science and Algorithms, including data structures, algorithmic complexity, and software engineering best practices.
• Proficiency in Statistics and Pattern Recognition for model design, feature engineering, hypothesis testing, and performance evaluation.
• Practical experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, or similar libraries.
• Experience building, deploying, and monitoring ML models in production environments (e.g., microservices, cloud platforms like AWS, Azure, or GCP).
• Understanding of LLMs and tool-using/agentic frameworks (e.g., LangChain, semantic routers, workflow orchestrators) is highly beneficial.
• Strong problem-solving skills, ability to work independently and collaboratively, and clear communication with technical and non-technical stakeholders.