Sr Software Engineer (AI Engineer)

• Build and implement Agentic AI solutions, including AI agents and their underlying components.
• Develop and integrate traditional AI/ML models using structured and unstructured datasets.
• Create autonomous workflows using orchestration platforms such as n8n and similar tools.
• Design scalable AI architectures using frameworks like LangChain, LangGraph, and AgentCore.
• Manage the complete ML lifecycle, including data ingestion, model training, deployment, monitoring, and optimization.
• Develop and integrate APIs with enterprise systems and third-party platforms.
• Collaborate with business stakeholders to translate requirements into AI-driven solutions.
• Participate in Agile ceremonies and contribute as a Business Analyst, Scrum Master, or technical lead when required.
• Extend DevOps responsibilities into operational support, monitoring, and continuous improvement.
• Lead technical initiatives and manage project deliverables with minimal supervision.

Do you have experience in Systems integration?, Do you have a Bachelor’s degree?, Are you passionate about building next-generation AI solutions that combine Agentic AI, Machine Learning, and enterprise-scale system integration?, * Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, Data Science, or a related field.

• 5+ years of software engineering experience with strong programming expertise.
• Hands-on experience in both:
• Agentic AI development
• Traditional AI/ML model development and deployment
• Strong experience with:
• LangChain
• LangGraph
• AgentCore
• n8n or similar orchestration platforms
• Deep understanding of AI solution architecture and design patterns.
• Experience with the complete Machine Learning lifecycle.
• Strong background in Data Engineering, ETL, and data pipelines.
• Experience with API development, microservices, and enterprise system integration.
• Cloud expertise in:
• AWS AI/ML Services
• Azure AI Stack
• Strong knowledge of Agile, DevOps, CI/CD, and software delivery best practices., * Experience building enterprise-grade AI assistants and autonomous agent ecosystems.
• Knowledge of RAG, vector databases, LLM fine-tuning, and prompt engineering.
• Experience with MLOps and model governance frameworks.
• Strong leadership, communication, and stakeholder management skills

$90 - $110 an hour - Temporary, Contract