Agentic AI Engineer

Cinnova is seeking an Agentic AI Engineer with 3 to 4 years of experience in AI-driven automation, workflow orchestration, and applied ML development. The role focuses on building and deploying multi-step agent workflows using state-of-the-art frameworks and automation platforms. The engineer will work closely with senior architects to convert requirements into stable, production-ready agentic solutions.

Key Responsibilities

Agentic AI Development

• Build multi-step AI agent workflows using platforms such as Microsoft Copilot Studio, Azure AI Studio Agents, AWS Bedrock Agents, or automation tools like n8n and Make.
• Implement intelligent retrieval, planning, tool calling, and step-by-step task automation using LangChain, LlamaIndex, or similar libraries.
• Deploy and configure agent pipelines that integrate external APIs, databases, vector stores, RPA tools, and enterprise business systems.
• Ensure workflows are reliable, observable, recoverable, and optimized for latency and cost.

AI and ML Engineering

• Train, fine-tune, or evaluate smaller models and embeddings for specific tasks.
• Configure and deploy inference endpoints using AWS SageMaker, Azure ML, GCP Vertex AI, or on-prem platforms such as MLflow or Kubeflow.
• Manage model versioning, monitoring, experiment tracking, and data pipelines.

Automation and Integration

• Build automations that connect AI agents with CRMs, ERPs, internal tools, ticketing systems, or cloud services.
• Create reusable components for agent invocation, memory management, prompt templates, and decision trees.
• Work closely with DevOps to ensure stable deployments, CI/CD, and secure execution.

Quality, Testing, and Reliability

• Conduct stress testing, fallback logic design, and scenario validation for agentic systems.
• Identify failure modes and implement error handling, guardrails, and human-in-the-loop controls.

Required Qualifications

• 3 to 4 years of experience in AI engineering, automation engineering, or ML implementation.
• Hands-on experience with LangChain, LlamaIndex, or similar frameworks for agent development.
• Experience using agent platforms such as Microsoft Copilot Stack, Azure AI Studio Agents, AWS Bedrock Agents, n8n, Make, or equivalent.
• Familiarity with open-source ML tools such as Kubeflow, MLflow, Ray, or similar.
• Experience working with AWS, Azure, or GCP for deploying AI workloads.
• Strong experience building workflows that integrate APIs, data pipelines, vector stores, and external systems.

About Cinnova

Cinnova is an innovation-focused software development company helping start-ups and established firms with their MVPs, product design, and ongoing software development needs. With a proven track record of contributing to continuous growth, Cinnova has been part of rapid expansions and some great exits for our clients. From Blockchain technology to IoT development, AI, Machine Learning, and beyond, we remain at the forefront of the technology landscape. Cinnova = (C)reativity + (innova)tion. We promote startup culture and encourage innovation, making Cinnova a true innovation hub.