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Senior Software Engineer (AI Engineer)

2 - 4 years

2 - 4 Lacs

bengaluru karnataka india

Posted:1 month ago| Platform: Foundit logo

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Skills Required

ai cloud platforms llm

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title

  • Sr. Software Engineer (AI Engineer)

Position type

  • Full Time

Work Location

  • Bangalore, Noida, Gurgaon

Shift Time

  • 12pm-9pm IST

People Manager role

  • No

Required education and certifications critical for the role

  • Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Required years of experience

  • 2-4 years experience in relevant field

Skills/Competencies Required

  • 2-4 years of experience in AI, software development, data engineering, or MLOps
  • Strong Python skills (FastAPI, Pandas, NumPy)
  • Hands-on experience with AI APIs (OpenAI, Hugging Face etc.)
  • Basic experience with cloud platforms for model deployment
  • Understanding of data processing & vector database

Job Responsibilities

  • Sync with the team on priorities and progress (join daily standup meeting etc.)
  • Work on AI driven development APIs, LLM prompts, and data workflow
  • Improve AI workflow efficiency and data retrieval performance
  • Ensure smooth deployment and scalability of AI applications
  • Research and knowledge sharing
  • Wrap-up and next day planning

Key Responsibilities

  • LLM Integration & AI Workflows

  • Develop AI powered solutions using LLMs (GPT4, Claude, llama etc.)
  • Implement prompt engineering techniques (zero shot, few-shot, chain-of-thought)
  • Optimize AI responses using RAG

  • API Development & AI Productization

  • Build and optimize API to integrate AI models with applications
  • Develop Python-based backend services
  • Implement real-time and batch AI processing workflows

  • Data Engineering and Processing

  • Work with structured and unstructured data transformation
  • Implement vector database storage and retrieval
  • Build data pipeline

  • Basic MLOps & Deployment

  • Deploy and manage AI Models with cloud platform
  • Automate model versioning, logging, and monitoring
  • Optimize model inference for latency and scalability

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