AI Developer (Only on W2)

We are seeking a Lead Software Engineer to architect, design, and deliver an enterprise-scale servicing and workflow automation platform. This role requires deep technical expertise, strong architectural judgment, and a proven ability to drive engineering excellence across complex distributed systems and AI-driven workflows.

Leadership Expectations

• Mentor and develop junior and mid-level engineers
• Uphold engineering discipline, architectural standards, and code quality
• Maintain an outcome-driven, delivery-focused mindset

Key Responsibilities

• Lead end-to-end architecture, design, and development of platform components
• Review designs, code, integration patterns, and quality practices
• Build scalable APIs, services, and workflow-driven solutions
• Implement workflow orchestration and task-based processing models
• Collaborate closely with product, operations, and architecture teams
• Actively participate in Agile ceremonies and provide technical direction

Required Technical Skills

• Strong expertise in backend engineering and distributed system design
• Advanced proficiency in Python, LangChain, and LangGraph
• Hands-on experience building agentic AI systems; at least one agentic AI project taken to production
• Strong experience with MongoDB or other NoSQL databases
• Experience building and consuming asynchronous APIs
• Practical experience with MCP, Kafka/queueing systems, and workflow engines
• Familiarity with banking/financial services domains (KYC, onboarding, servicing, etc.)
• Experience designing and deploying microservices architectures
• Exposure to cloud-native environments (container orchestration, CI/CD, observability)
• Understanding of enterprise-grade security, compliance, and scalability requirements

Agile & Delivery Practices

• Demonstrated leadership in Agile delivery environments
• Strong experience with estimation, grooming, and sprint planning
• Ability to guide teams on delivery predictability, velocity, and execution

Preferred / Nice to Have

• Experience with Google ADK (Agent Developer Kit)
• Broader experience across AI system patterns, LLM orchestration, and workflow automation platforms

Additional Emphasis

• This role requires a Lead AI Developer who has successfully delivered at least one production-grade agentic AI solution. Deep experience in Python, LangChain, and LangGraph is critical.
• Google ADK, LangChain / LangGraph