Senior Full Stack AI Engineer

Core Competencies:

Dependability. Follows instructions and responds to management direction; results-oriented and committed to achieving objectives and tasks as required.

Teamwork and Collaboration. Exhibits objectivity and openness to others’ views; Gives and welcomes feedback; Contributes to building a positive culture. Communicates effectively.

Professionalism. Tactfully approaches others, reacts well under pressure, treats others respectfully, and is accountable for all actions and decisions.

Organizational Support. Follows policies and procedures; Completes administrative tasks correctly and on time; Supports the organization’s goals and values.

Quality Management. Looks for ways to improve and promote quality; Demonstrates accuracy and thoroughness.

Decision-Making. Analyzes each situation, looking for opportunities to make any situation more beneficial for the company. Participates effectively in communication to achieve optimum results.

Cognitive Ability. High intelligence, problem-solving/initiative, dependability, and ability to access and navigate relevant APIs.

Tasks required:

AI & Agent Development

Design, develop, and deploy AI agents powered by LLMs such as Claude, OpenAI GPT, and similar models.
Create robust prompt engineering frameworks to maximize AI accuracy, reliability, and consistency.
Implement agent workflows, reasoning chains, memory management, and tool integrations.
Develop AI-powered review response generation, sentiment analysis, and reputation monitoring capabilities.
Optimize AI performance, response quality, and operational costs.

Backend Development

Architect and develop scalable backend services using Python and/or Node.js.
Build RESTful and GraphQL APIs to support AI workflows and customer applications.
Implement authentication, authorization, logging, monitoring, and security best practices.
Design and maintain database schemas and data pipelines.
Develop asynchronous processing and background job systems for AI and API operations.

API Integration & Automation

Integrate with third-party platforms
Build resilient API orchestration workflows with retry mechanisms, rate-limit handling, and fault tolerance.
Implement webhook-based and scheduled synchronization processes.

Frontend Development

Design and develop customer-facing dashboards and administrative portals.
Build responsive and intuitive user experiences using modern frontend frameworks.
Develop reporting, analytics, review monitoring, and AI-generated response management features.

System Architecture & DevOps

Define and maintain system architecture, infrastructure, and deployment strategies.
Ensure scalability, performance, reliability, and security across the platform.
Establish CI/CD pipelines and development best practices.
Implement monitoring, observability, and alerting systems.

Product Ownership

Collaborate with founders, product stakeholders, and designers to translate requirements into technical solutions.
Lead technical decision-making and architecture discussions.
Mentor junior developers and contribute to engineering standards and processes.

Requirements:

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field (or equivalent practical experience).
5+ years of experience in Full Stack Software Development.
3+ years of experience working with AI/LLM-powered applications.
Strong proficiency in Python and/or Node.js.
Experience integrating OpenAI, Claude, Anthropic, or similar LLM APIs.
Strong knowledge of prompt engineering techniques and AI workflow design.
Experience building production-grade SaaS platforms.
Strong experience with REST APIs, webhooks, and third-party API integrations.
Experience with SQL and NoSQL databases.
Experience building modern frontend applications using React, Next.js, Vue.js, or similar frameworks.
Strong understanding of cloud platforms such as AWS, GCP, or Azure.
Experience implementing authentication, authorization, and security best practices.
Strong troubleshooting, debugging, and error-handling skills.

Preferred Qualifications:

Experience building AI agents, autonomous workflows, or agentic systems.
Experience with vector databases and Retrieval-Augmented Generation (RAG).
Familiarity with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar AI frameworks.
Experience with Docker, Kubernetes, and containerized deployments.
Knowledge of observability tools such as Datadog, Grafana, Prometheus, or OpenTelemetry.
Experience in reputation management, social media platforms, or marketing technology solutions.
Startup experience with ownership of products from concept to production.