AI Software Engineer

AI & System Development

• Design, build, and maintain agentic workflows and autonomous AI systems
• Develop and integrate AI/ML models into production applications
• Implement orchestration logic for multi-agent systems and automation pipelines
• Build AI-powered tools to improve developer productivity and software quality

Software Engineering

• Write clean, scalable, and maintainable code
• Apply modern software development practices in an agile environment
• Contribute to architecture, design, development, and delivery cycles
• Ensure compliance with enterprise security, risk, and governance standards

Collaboration & Delivery

• Work closely with cross-functional teams (engineering, product, data)
• Gather requirements and translate them into AI-driven solutions
• Participate in agile ceremonies (stand-ups, sprint planning, retrospectives)

Performance & Innovation

• Monitor, evaluate, and optimize AI systems in production
• Stay updated on advancements in AI, LLMs, and agent-based architectures
• Contribute to internal best practices and communities of practice

Required Qualifications

• 7–15 years of overall experience in software engineering or related fields
• 2–5 years of hands-on experience in AI/ML or data engineering
• Proficiency in Python or another modern programming language (Java, Go, Ruby)
• At least 1–3 years experience with Java 17+
• Experience building agentic workflows or multi-agent systems
• Familiarity with orchestration frameworks such as:
  • LangChain
  • AutoGen
  • CrewAI (or similar)
• Strong understanding of:
  • Large Language Models (LLMs)
  • Prompt engineering
  • AI system design
• Experience with:
  • Cloud platforms (AWS, Azure, or GCP)
  • Containerization (Docker, Kubernetes)
  • APIs, microservices, and system integration
• Strong problem-solving, analytical, and communication skills
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience

Preferred (Nice-to-Have) Skills

• Experience with AWS environments and services
• Exposure to enterprise-scale AI implementations
• Knowledge of financial services or regulated environments

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