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InnomizeTech

Senior Software Engineer (Python / JavaScript / LLM)

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  • Posted 8 hours ago
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Job Description

INNOMIZE is seeking a Senior Full-Stack Developer with LLM/AI experience to help design, build, and scale our cloud-native AI platform. You will work across backend services, AI pipelines, and modern frontend interfaces, collaborating closely with product and engineering teams to deliver high-quality solutions.

This role is hands-on, technically deep, and suited for engineers who enjoy solving complex problems across systems, data, and AI.

What you'll be doing

  • Design and build LLM-powered APIs using Python (FastAPI) and JavaScript/TypeScript (NestJS).
  • Develop high-quality React applications, including real-time and AI-assisted user experiences.
  • Implement streaming and real-time features using SSE and WebSockets.
  • Work with PostgreSQL, including performance tuning and vector-based search.
  • Deploy and operate services on AWS (Lambda, ECS, S3, API Gateway).
  • Integrate and operate LLM-powered features using OpenAI and Anthropic Claude APIs.
  • Optimize prompts, token usage, latency, and cost across multiple LLM providers.
  • Evaluate and select models for different use cases (accuracy, speed, cost).
  • Write clean, testable, and maintainable code following solid principles.
  • Participate in system design, architecture decisions, and technical reviews.
  • Mentor junior engineers and contribute to a strong engineering culture.

Your skill and experience:

  • Bachelor's degree in Computer Science or equivalent practical experience.
  • 5+ years of professional software engineering experience.
  • Comfortable working with both backend (JavaScript / Python) and frontend (Angular / React preferred) technologies.
  • Strong PostgreSQL knowledge (query optimization, indexing, vector extensions).
  • Comfortable with Docker, CI/CD, and production debugging.
  • Working knowledge of AWS or other cloud platforms.
  • Practical experience working with LLM APIs (OpenAI, Anthropic, or similar).
  • Understanding of embeddings, vector search, and RAG architectures.
  • Awareness of multi-model and multi-provider LLM strategies
  • Senior-level ownership and accountability.
  • Good at English communication.

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About Company

Job ID: 147239329