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.
(ref:hirist.tech)
