AI/ML Engineer

Job Title :
AI/ML Engineer (LLM & Agentic AI)

Location :
Bengaluru, India

Experience :
1 - 3 years

Company Overview
Big Air Lab operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insight across domains.

Position Summary
We are looking for an AI/ML Engineer with a strong background in Python, Django, and Object-Oriented Programming (OOP).

The ideal candidate should have significant experience in prompt engineering, open source model fine-tuning, and using the HuggingFace libraries.

Additionally, expertise in working with cloud platforms such as AWS SageMaker or similar services for training AI models is essential.

Priority will be given to candidates with a research background, particularly those who have successfully fine-tuned and deployed AI models in real-world applications.

Key Responsibilities

• Develop, fine-tune, and deploy AI models using Python and Django frameworks.
• Apply prompt engineering techniques to optimize model outputs and improve accuracy.
• Utilize HuggingFace libraries and other ML tools to build and fine-tune state-of-the-art models.
• Work on cloud platforms like AWS SageMaker or equivalent to train and deploy AI models efficiently.
• Collaborate with research teams to translate cutting-edge AI research into scalable solutions.
• Implement object-oriented programming (OOP) principles and problem-solving strategies in developing AI solutions.
• Stay updated with the latest advancements in AI/ML and integrate new techniques into ongoing projects.
• Document and share findings, best practices, and solutions across the engineering team.

An Ideal Candidate Will Have

• Strong proficiency in Python and Flask/FastAPI.
• Experience in prompt engineering and fine-tuning AI models.
• Extensive experience with HuggingFace libraries and similar AI/ML tools.
• Strong experience in AI Agentic Architecture
• Hands-on experience with cloud platforms such as AWS SageMaker for training and deploying models.
• Proficiency in Databases like MongoDB or PostgreSQL, as well as vector databases such as FAISS, Qdrant, or Elasticsearch
• Hands-on experience with Docker and Git for version control.
• Background in AI/ML research, with a preference for candidates from research institutes.
• Demonstrated experience in training and deploying machine learning models in real-world applications.
• Solid understanding of object-oriented programming and problem-solving skills.
• Strong analytical skills and the ability to work independently or in a team environment.
• Excellent communication skills, with the ability to present complex technical concepts to non-technical stakeholders.

Must Have Skills

• Python
• Object-Oriented Programming (OOP)
• Prompt engineering
• HuggingFace libraries and similar AI/ML tools
• Open Source Model fine-tuning
• AI Agentic Architecture such as LangGraph and CrewA
• Docker and Git for version control.
• Databases like MongoDB or PostgreSQL, as well as vector databases such as FAISS, Qdrant, or Elasticsearch

Good To Have

• Deep Learning and Machine Learning
• AWS SageMaker or similar services for training AI models
• Previous experience in academic or industrial research, with published work in AI/ML.
• Proven track record of successful AI model deployments and optimizations.
• Experience with databases like MongoDB or PostgreSQL, as well as vector databases such as FAISS, Qdrant, or Elasticsearch.

Perks & Benefits

• Work on groundbreaking AI/ML projects in a collaborative and innovative environment.
• Access to state-of-the-art tools and cloud platforms.
• Opportunities for professional development and continuous learning.
• Competitive salary.

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