POSITION SUMMARY:
Design and deliver scalable, production-ready data applications and agentic AI systems that automate workflows and enhance business decision-making. The role focuses on full-stack development, data integration, and AI orchestration (e.g., LLM-based agents), turning business requirements into reliable, user-facing solutions that drive efficiency and innovation.

PRIMARY RESPONSIBILITIES:
Build Data & AI Applications (Highest Priority)

Design and develop full-stack data applications (APIs, backend services, and front-end interfaces) for business use cases
Implement agentic AI systems (LLM orchestration, tool integration, memory, workflow automation) to streamline processes
Translate business requirements into functional, scalable solutions with clear user flows and outputs

2. Harness Engineering & AI Integration

Integrate LLMs, vector stores, and external tools into cohesive agent workflows
Design prompt strategies, evaluation methods, and guardrails to ensure accuracy and reliability
Optimize latency, cost, and performance of AI-driven applications

3. Data Engineering & Integration

Build and maintain data pipelines (ETL/ELT) to power applications and AI agents
Ensure data availability, consistency, and governance compliance
Design efficient data models for application and API consumption

4. Application Deployment & Operations

Deploy applications and services using cloud platforms and DevOps practices
Monitor system performance, usage, and reliability; troubleshoot issues proactively
Maintain documentation and version control for all solutions

5. Stakeholder Collaboration

Work with business stakeholders to define requirements, UX expectations, and success criteria
Deliver user-friendly interfaces and actionable outputs
Provide training and support to drive adoption


Key KPIs / Success Metrics (Descending Importance)

Business process automation rate and measurable efficiency gains
Adoption and active usage of deployed applications
System reliability (uptime, response time, error rates)
Time-to-delivery for new applications/features
AI system performance (task success rate, accuracy, latency, cost per request)
Data pipeline reliability and freshness

REQUIREMENTS:
Education

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or related field

Experience & Knowledge

Senior Analyst: 2–4 years in full-stack or data application development
Assistant Manager: 4–7 years with experience leading or owning end-to-end application delivery
Strong experience in Python, JavaScript/TypeScript, SQL, and API development
Hands-on experience with modern frameworks (e.g., FastAPI, Node.js, React)
Familiarity with LLM/agent frameworks, APIs, vector databases, and orchestration patterns
Experience with cloud platforms (Azure/AWS/GCP) and CI/CD pipelines
Solid understanding of data architecture, integration, and governance

Working Conditions

Standard office / hybrid schedule with project-based delivery cycles
Non-operational role; occasional extended hours during releases
Regular use of development tools, cloud environments, and collaboration platforms

Skills

Full-stack development and system design
Strong problem-solving and debugging capability
Clear technical communication and documentation skills
Ability to design scalable, maintainable systems
Knowledge of DevOps and application lifecycle management

Personal Abilities

Ability to structure ambiguous business problems into executable solutions
Strong reasoning and system-thinking capability
Ability to manage multiple priorities and deliver under deadlines

Personal Attributes

Curious and hands-on with emerging AI technologies (especially agentic systems)
Ownership mindset with strong accountability for delivery
Collaborative and proactive in cross-functional environments
Adaptable to rapidly evolving tools and business needs