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AI Software Engineer

2 weeks ago


Gurgaon, Haryana, India Three Across Full time US$ 90,000 - US$ 1,20,000 per year

Job Title
: Software Engineer AI Solutions

Work Setup: Onsite

Shifts :
General shifts (8:00 AM to 5:00 PM IST)

Location
: Gurugram

Skill Sets
: LLM integration, strong in python, Open AI, Cloud Platform (GCP, AWS or Azure)

"Note : GitHub portfolio is mandatory."

Detailed Job description:

Software Engineer - AI Solutions

Responsibilities:

  • Design and implement AI-powered features using LLMs and other machine learning models
  • Develop proof-of-concepts and MVPs to demonstrate AI capabilities to stakeholders
  • Optimize LLM performance including prompt engineering, response latency, and cost efficiency
  • Design and maintain agent-oriented LLM pipelines that autonomously plan, reason, and invoke external tools to complete end-to-end business tasks
  • Implement evaluation frameworks and monitoring systems for deployed AI solutions
  • Collaborate with Product Managers to translate client requirements into technical specifications
  • Ensure code quality, security, and scalability in production environments
  • Document technical implementations and create deployment guides for client teams

Minimum qualifications:

  • Bachelor's degree in Computer Science or equivalent practical experience
  • 3+ years of software engineering experience
  • Strong proficiency in Python and modern web frameworks (FastAPI, Flask, Django)
  • Experience with REST APIs and microservices architecture
  • Understanding of cloud platforms (AWS, Azure, or GCP)
  • Excellent problem-solving and debugging skills

Preferred qualifications:

  • Experience integrating LLM APIs (OpenAI, Anthropic, Google Vertex AI)
  • Hands-on experience developing and deploying agentic or multi-agent LLM architectures in real-world workstreams
  • Familiarity with vector databases (Pinecone, Weaviate, ChromaDB)
  • Knowledge of prompt engineering and LLM fine-tuning techniques
  • Experience with containerization (Docker, Kubernetes)
  • Background in client-facing or professional services roles
  • Understanding of ML model deployment and monitoring

We're not just looking for someone who understands LLMs — we want a builder. If you enjoy experimenting with OpenAI APIs, designing agentic workflows, and deploying real-world AI solutions that go beyond chatbots, you'll thrive here. Show us what you've built — your GitHub says more than your resume