Custom AI-Full Stack

Role & responsibilities

Required Qualifications

• 3-6 years of experience in software development, with exposure to CRM system design or customer data platforms a plus.
• 2+ years of hands-on full-stack development using modern web frameworks (React, Angular, or Vue) and backends (Node.js, Python, or Java).
• Working knowledge of CRM domain concepts Leads, Opportunities, Account Management, Sales Pipelines, Service Cases.
• Foundational understanding of AI/ML concepts as applied to CRM (lead scoring, recommendation logic, conversational AI).
• Exposure to GenAI frameworks (LangChain, LlamaIndex) or LLM integration patterns (RAG, function calling) through coursework, personal projects, or prior engagements.
• Familiarity with relational (PostgreSQL, SQL Server) and NoSQL (MongoDB, Cassandra) databases.
• Experience integrating applications via REST, SOAP, or GraphQL APIs.
• Exposure to cloud-native deployment (AWS, Azure, or GCP) using Docker/Kubernetes.
• Basic understanding of security and compliance concepts (OAuth2, SAML, RBAC, GDPR/CCPA/HIPAA).
• Strong communication skills and the ability to work effectively within cross-functional delivery teams.
• Experience contributing to a delivery POD or project team of roughly 3-6 engineers or equivalent team-based project work.

Preferred Qualifications

• Personal, academic, or hackathon projects involving LLM integration, RAG, or agentic frameworks.
• Familiarity with infrastructure-as-code (Terraform, Pulumi).
• Cloud certifications at the Associate level (AWS, Azure, or GCP).
• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Prior internship, co-op, or project experience in a consulting or client-facing environment.

Preferred candidate profile

Perks and benefits