Position Summary We are seeking an L4 Senior Full Stack Engineer with strong expertise in Angular, Python, and RDBMS (SQL/PostgreSQL), along with hands-on experience in LLM/GenAI applications and data warehouse databases such as Redshift, Snowflake, or Databricks. This role requires a blend of hands-on development, strong OOP fundamentals, experience building AI-powered applications, and the ability to lead a small team while collaborating closely with Technical Architects on design and architectural decisions.
Job Responsibilities
Build and maintain full stack applications using Angular (frontend) and Python (backend) with integrated AI/ML capabilities
Design and develop GenAI-powered agents and intelligent automation systems using LLMs (OpenAI, Anthropic Claude, or similar)
Implement RAG (Retrieval Augmented Generation) pipelines and vector database integrations for context-aware AI applications
Design, optimize, and maintain RDBMS (SQL/PostgreSQL) and data warehouse solutions (Redshift/Snowflake/Databricks)
Write efficient SQL for both transactional and analytical workloads
Build and optimize LLM orchestration frameworks, prompt engineering strategies, and agent evaluation systems
Apply strong OOP principles and follow coding best practices across the development lifecycle
Lead and mentor a team of 2??3 engineers, conduct thorough code reviews, and ensure delivery quality
Collaborate with Technical Architects on system design, AI/ML integration patterns, and technical decisions
Own and deliver AI-powered modules end-to-end with high quality, reliability, and maintainability
Implement monitoring, evaluation, and observability for LLM-based systems
Education
BE/B.Tech
Master of Computer Application
Work Experience
5-8 years of relevant full stack development experience in production environments
1+ years of hands-on experience with LLM/GenAI application development
Proven experience leading small engineering teams (2??3 members) with demonstrated mentorship capabilities
Strong sense of ownership and accountability for deliverables
Excellent communication skills with ability to articulate technical concepts to both technical and non-technical stakeholders
Experience working in Agile/Scrum environments with cross-functional teams
Self-motivated with ability to work independently and drive AI/ML initiatives
Behavioural Competencies
Teamwork & Leadership
Motivation to Learn and Grow
Ownership
Cultural Fit
Technical CompeteRncies
Snowflake
Oracle
Databricks
Python
SQL
Angular
Amazon Redshift
Jenkins
Azure DevOps
AWS Data Pipeline
Job Classification
Industry: Analytics / KPO / ResearchFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical ArchitectEmployement Type: Full time