Sr . AI Engineer

We are a fast-growing, digital engineering company committed to excellence if you believe you have what it takes to succeed at Aezion, we d be excited to have you.

Are you Humble, Hungry, and Smart

Sr. AI Engineer

Role: Sr. AI Engineer
Location: Bengaluru, Karnataka
Employment Type: Full time

About Aezion:

Aezion is a technology solutions provider specializing in custom software, AI-driven solutions, and enterprise digital transformation.

Aezion is one of the trusted digital engineering providers in the USA and we live by the adage that our word is our bond. Our Promise is to get it right or make it right. We accomplish this by investing the effort to exceed client expectations from start to finish architecting, designing, developing, hosting, maintaining, and supporting our clients throughout the project lifecycle. We believe that work is ministry an expression of our values. Our goal is to honor our commitments to clients and the life energies of Aezion employees through results that transform clients into lifelong partners.

Working at Aezion:

Aezion is a mission-driven growing company fueled by our Purpose (Love others like Christ) and guided by our values ( Love, Dependability, Humble, Diversity, Speed and Innovation ). Our Purpose is why we exist. Our Values drive how we go about that existence and represent who we are. Service defines us at Aezion. Our 200+ dedicated, aligned employees pour their life energies to transform our customers into lifelong partners through service excellence.

About the Role

We are looking for passionate and motivated AI Engineers to join our AI Venture Studio. This is an excellent opportunity for early-career professionals to work on cutting-edge Artificial Intelligence technologies and contribute to the development of proprietary AI products.

You will be trained to build enterprise-grade AI solutions, including domain-specific Small Language Models (SLMs), intelligent document processing, Retrieval-Augmented Generation (RAG) applications, AI-powered APIs, and enterprise automation solutions.

You will work alongside experienced architects and AI engineers to develop reusable AI components that can be applied across multiple industry verticals such as Construction, Healthcare, Manufacturing, Banking, Insurance, Retail, and Legal.

Key Responsibilities

AI Development

• Develop AI-powered applications using Python and modern AI frameworks.

• Assist in building and fine-tuning domain-specific Small Language Models (SLMs).

• Develop intelligent document processing and OCR solutions.

• Build Retrieval-Augmented Generation (RAG) applications.

• Implement semantic search using vector databases.

• Develop AI inference APIs and microservices.

  Data Engineering

• Collect, clean, and preprocess structured and unstructured datasets.

• Create data pipelines for AI model training.

• Perform data annotation and validation.

• Generate embeddings and maintain vector databases.

  Software Engineering

• Develop REST APIs using FastAPI or similar frameworks.

• Build reusable backend components.

• Write clean, maintainable, and well-documented code.

• Participate in code reviews and unit testing.

  AI Platform

• Contribute to model evaluation and testing.

• Deploy AI services using container technologies.

• Support AI model monitoring and performance optimization.

• Maintain model documentation and experiment tracking.

  Team Collaboration

• Work closely with Product Owners to understand business requirements.

• Participate in Agile ceremonies and sprint planning.

• Collaborate with architects and senior engineers.

• ontinuously learn emerging AI technologies.

  Required Skills Programming

• Python (Preferred)

• Basic knowledge of C#, Java, or JavaScript is an advantage

  Fundamentals

• Object-Oriented Programming

• Data Structures and Algorithms

• SQL and basic database concepts

• REST APIs

• Git version control

  AI & Machine Learning

Basic understanding of:

• Machine Learning concepts

• Deep Learning fundamentals

• Natural Language Processing (NLP)

• Computer Vision basics

• Large Language Models (LLMs) and Small Language Models (SLMs)

• Prompt Engineering (basic)

  Databases

• PostgreSQL or MySQL

• Basic understanding of NoSQL databases

  Cloud & DevOps (Good to Have)

• Docker

• Linux

• CI/CD concepts

• Cloud platforms (AWS, Azure, or GCP)

  Preferred Technical Exposure

Candidates with exposure to any of the following will have an advantage:

• PyTorch

• Hugging Face Transformers

• LangChain

• LangGraph

• FastAPI

• OpenCV

• Azure AI Document Intelligence

• Vector Databases (Qdrant, pgvector, Milvus)

• MLflow

• GitHub or GitLab

  Educational Qualification

Bachelor s or Master s degree in one of the following:

• Computer Science

• Information Technology

• Artificial Intelligence

• Data Science

• Electronics

• Mathematics

• Statistics

• Related Engineering disciplines

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.