Software Engineer (Backend)

Experience

• 5+ years of experience in software engineering with a focus on AI-driven or autonomous systems.
• Proven track record of deploying AI models or agents in production environments.

Technical Skills

• Proficiency in Python.
• Databases: Proficiency in SQL (PostgreSQL, MySQL) and NoSQL (e.g. Document DB, Vector DB).
• Cloud: Experience deploying large scale production applications on AWS, GCP, or Azure.
• Security: Understanding of OAuth2, JWT, and best practices for securing systems.

• AI Frameworks: Experience with TensorFlow, PyTorch, or Hugging Face.
• Experience with RPA (Robotic Process Automation) tools
• Familiarity with graph databases (Neo4j) for managing complex workflows.
• Familiarity with Go and Rust
• Experience with CI/CD pipelines and DevOps practices.

• Design and develop autonomous AI agents using best of breed large language models to automate tasks such as document processing, data extraction, and workflow management.
• Implement reinforcement learning techniques to enhance decision-making capabilities of AI agents.

• Build and integrate APIs that connect AI agents with external systems and enterprise software (ERP, CRM).
• Use frameworks like TensorFlow, PyTorch, or Hugging Face to deploy and optimize AI models for real-time processing.

• Design and manage data pipelines to process and analyze large volumes of documents and unstructured data efficiently.
• Optimize data handling to improve speed and accuracy of AI agents.

• Implement authentication and authorization mechanisms to secure AI-driven systems.
• Ensure compliance with data privacy standards (e.g., GDPR, HIPAA) and adopt best practices for secure data handling.

• Deploy AI agents on cloud platforms (AWS, GCP, or Azure) ensuring scalability and reliability.
• Leverage containerization (Docker, Kubernetes) for efficient deployment and management.

• Develop and execute unit, integration, and performance tests for AI-driven systems.
• Continuously monitor and optimize system performance for speed, accuracy, and cost-efficiency.

• Work closely with AI researchers, front end engineers, and product teams to align AI agent capabilities with business requirements.
• Participate in code reviews, design discussions, and architecture planning to drive innovation.

We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.