Role Summary GES is looking for an Engineer – AI and Engineering Technology to design, build, and operate production AI applications for enterprise use cases. This role combines hands-on AI/ML engineering with practical experience deploying agentic systems, retrieval-augmented generation (RAG) pipelines, and enterprise-integrated AI tools that run securely at scale. The ideal candidate has already shipped AI-powered products in a production environment and is comfortable owning a system end to end – from model selection and training through deployment, security, and cost management. Key Responsibilities • Design, develop, and deploy production AI applications for internal and external enterprise use cases, including retrieval-augmented generation (RAG) pipelines and agentic AI systems • Build and maintain autonomous agents and multi-agent workflows using frameworks such as LangChain, LlamaIndex, and Model Context Protocol (MCP) integrations • Train and fine-tune AI/ML models for specific enterprise use cases, and evaluate model performance for accuracy, safety, and cost • Integrate AI systems with enterprise data sources and platforms (ERP, SharePoint, ticketing systems) to ground responses in live business data • Own the security and governance of deployed AI systems: guardrails, PII masking, role-based access control, sandboxed execution environments, and abuse prevention • Deploy, monitor, and manage containerized AI services on cloud infrastructure (AWS or Azure), including cost optimization • Work directly with business stakeholders to translate ambiguous requirements into deployed,



measurable AI solutions • Automate cross-functional workflows connecting AI systems with existing enterprise processes Required Skills & Experience • 4–6 years of overall experience in AI/ML or software engineering, with meaningful hands-on experience building and deploying AI applications in production • Practical experience with large language models (LLMs) – OpenAI, Claude, Hugging Face, or equivalent • Experience training or fine-tuning AI/ML models for specific use cases • Hands-on experience building agentic AI systems, RAG pipelines, and LLM orchestration frameworks (LangChain, LlamaIndex, or similar) • Working knowledge of Model Context Protocol (MCP) or similar tool-integration standards for connecting AI systems to enterprise data • Robust programming skills in Python, with experience in FastAPI and REST API development • Experience with containerized deployment (Docker) and cloud infrastructure (AWS or Azure) • Understanding of AI security practices: guardrails, prompt safety, PII masking, and access control • Demonstrated experience developing AI applications for enterprise customers or internal enterprise stakeholders Preferred / Nice-to-Have Skills • Experience with vector databases (Pinecone, Qdrant, Elasticsearch) for semantic search and retrieval • Background in data engineering (Apache Spark, Databricks, Kafka) is a plus • Familiarity with workflow automation tools (n8n or similar) • Experience working in a consulting or client-facing engineering role across multiple industries Education • Bachelor's degree in Computer Science, Engineering, or a relat

📌 Engineer – AI and Engineering Technology (Kochi)
🏢 HIRESTAR JOB BANK
📍 Kochi