Lead Agentic AI Developer

Job Description

Job Description

Job Description

We are seeking a Lead Agentic AI Developer to drive the development and deployment of our Agentic AI platform that combines AI workflow building, autonomous agents, and model-driven orchestration. This role requires a hands-on leader who can own the end-to-end lifecycle: architecture, design, development, deployment, and scaling of agentic AI capabilities.

Key Responsibilities

1. Development & Architecture

• Design and implement the agentic AI framework, including autonomous agents, multi-agent coordination, and workflow orchestration.
• Build and extend the AI workflow builder, enabling business users to visually create, chain, and deploy agent-driven processes.
• Integrate foundation models (LLMs, multimodal, domain-specific) into agentic workflows, ensuring secure and scalable execution.
• Develop APIs, connectors, and adapters for enterprise platforms (ERP, SAP, SaaS applications, etc.).

2. Deployment & Operations

• Lead deployment of agentic AI across cloud-native environments (AWS, Azure, GCP, BTP, on-premise).
• Implement monitoring, logging, and observability for agent performance and workflow health.
• Optimize model performance, fine-tuning, and retraining cycles.
• Ensure data security, governance, and compliance with enterprise standards.

3. Leadership & Innovation

• Take ownership as a technical lead driving architecture decisions and mentoring junior developers.
• Partner with product management to translate business requirements into AI-driven workflows.
• Stay ahead of emerging trends in agentic AI, Model Context Protocol (MCP), and AI orchestration frameworks.
• Drive innovation by experimenting with new AI models, techniques, and deployment strategies.

Required Skills & Qualifications

• 6+ years of software development experience, with at least 3+ years in AI/ML or agent-based systems.
• Proven experience with LLMs, AI orchestration frameworks, multi-agent systems, or workflow automation tools.
• Strong expertise in Python, Node.js, or Java, with experience in microservices and event-driven architectures.
• Hands-on deployment experience in cloud-native and containerized environments (Kubernetes, Docker).
• Familiarity with enterprise integration (APIs, ERP, workflow automation).
• Solid knowledge of AI model lifecycle management (training, fine-tuning, deployment, monitoring).
• Strong leadership and communication skills to guide technical teams and align with product vision.

Preferred (Nice to Have)

• Experience with SAP
• Familiarity with agent frameworks (LangChain, AutoGen, CrewAI, or custom).
• Background in enterprise SaaS product development.
• Contributions to open-source AI projects or research in agentic AI/AI workflows.

Acara Solutions is committed to ensuring equal employment opportunities for applicants and employees. We are committed to filling open positions using balanced selection criteria to avoid unlawful discrimination against applicants on the basis of their age, colour, disability, marital status, national origin, gender, gender identity, genetic information, race or racial origin, religion, sexual orientation, or any other status protected or required by law.

Acara Solutions welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates participating in all aspects of the selection process.