AI Engineer / Senior AI Engineer

AI Engineer / Senior AI Engineer

Job Location: Remote (Only Bangalore based candidates)

Experience: 3+ to 5 years

Preference will be given to candidates from NITs BITS and IITs.

Job Overview

We are looking for a hands-on AI Engineer / Senior AI Engineer with strong practical experience in Python, Classical Machine Learning, Deep Learning, Generative AI, RAG, and Agentic AI. The ideal candidate should have experience designing and developing production-ready AI solutions, with strong programming and machine learning fundamentals.

The candidate should demonstrate practical exposure to Scikit-learn, PyTorch, TensorFlow, LLMs, LangGraph, RAG, embeddings, vector databases, and AI Agents. Knowledge of AI Governance, Responsible AI, data privacy, security, and compliance is highly desirable.

Key Skills & Responsibilities

Core AI / Machine Learning

• Strong hands-on experience in Python and software development.
• Strong practical experience in Classical Machine Learning algorithms, model development, evaluation, and optimization.
• Hands-on experience with Scikit-learn and ML techniques such as classification, regression, clustering, feature engineering, model selection, and hyperparameter tuning.
• Strong practical experience in Deep Learning using PyTorch and/or TensorFlow.
• Experience developing, training, evaluating, and deploying ML/DL models
• Good understanding of model performance, explainability, experimentation, and productionization.

Generative AI / LLM

• Hands-on experience building applications using LLMs and Generative AI.
• Strong understanding of LLM architecture, embeddings, prompt engineering, context management, and model evaluation.
• Experience working with RAG (Retrieval-Augmented Generation) pipelines.
• Practical experience with document processing, chunking, embeddings, retrieval, reranking, and vector databases.
• Experience integrating LLMs through APIs and building enterprise-grade LLM applications.

Agentic AI

• Hands-on experience developing AI Agents / Agentic AI workflows.
• Experience with LangGraph for building stateful, multi-step, or multi-agent workflows.
• Understanding of agent patterns such as tool calling, planning, routing, reflection, and workflow orchestration.
• Experience integrating AI agents with APIs, enterprise systems, databases, and external tools is a plus.

AI Engineering & Production

• Ability to design and develop scalable, reliable, and production-ready AI solutions.
• Good understanding of REST APIs, FastAPI, microservices, system integration, and software engineering best practices.
• Experience with model deployment, monitoring, versioning, and basic MLOps / LLMOps practices is desirable.
• Experience working with Snowflake for data engineering, analytics, or AI/ML workloads
• Exposure to AWS cloud platforms is a plus.

AI Governance & Responsible AI

• Understanding of AI Governance and Responsible AI principles.
• Awareness of data privacy, security, compliance, model risk, bias, explainability, and responsible use of AI.
• Ability to consider governance and security requirements while designing enterprise AI solutions.

Required Qualifications

• 3+ years of relevant experience in AI/ML, Data Science, AI Engineering, or related areas.
• Strong hands-on programming experience in Python.
• Strong practical experience in Classical Machine Learning and Deep Learning.
• Hands-on experience with Scikit-learn, PyTorch and/or TensorFlow.
• Experience working with Snowflake for data engineering, analytics, or AI/ML workloads
• Practical exposure to LLMs, RAG, and/or Agentic AI, MCP
• Experience with LangGraph is highly desirable.
• Strong problem-solving and software engineering skills.
• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.
• Candidates from both product-based and service-based organizations are welcome.
• Candidates from reputed universities/institutions preferred.

Pay: ₹2,000,000.00 - ₹3,000,000.00 per year

Work Location: In person