Home/Jobs/Senior AI Engineer – Generative AI & LLMs Senior AI Engineer – Generative AI & LLMs Avathon Bengaluru 3-6 years Today $26.5K–42.2K/yr Full-time Onsite Skills Required LLM RAG Gen AI Hugging Face LangChain LlamaIndex transformer architectures LLM fine-tuning RAGAS Python PyTorch TensorFlow Machine Learning NLP Description Avathon is hiring a Senior AI Engineer for product engineering focused on Generative AI and LLMs. The role targets production-grade AI systems for industrial use cases across asset-intensive industries.

Company: Avathon Role: Senior AI Engineer - Product Engineering Location: Bengaluru, Karnataka, India Experience 3–6 years of hands-on industry experience

Experience in AI Engineering, Machine Learning Engineering, Applied AI, or related roles

Experience building and deploying LLM-based applications in production environments

Experience with containerization, deployment pipelines, and collaborative engineering environments

Strong software engineering fundamentals including system design, debugging, performance optimization, and production reliability

Ability to work in ambiguous, quick-moving startup environments Qualification Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field

Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field Responsibilities Design, build, and deploy production-grade AI/ML systems

Develop and optimize end-to-end LLM pipelines

Build RAG architectures, fine-tuning, prompt orchestration, evaluation, and observability

Build scalable backend services and APIs for AI applications

Implement and productionize transformer-based models and GenAI workflows

Design vector search systems, embedding pipelines, and retrieval frameworks

Partner with Product,



Engineering, and Business teams to translate operational challenges into AI solutions

Drive experimentation, benchmarking, model evaluation, and performance optimization

Improve inference efficiency, latency, cost management, and reliability of deployed AI systems

Establish guardrails, hallucination detection, monitoring, and responsible AI practices

Contribute to MLOps workflows Additional Responsibilities Stay current with the latest advancements in LLMs, agentic systems, foundation models, and applied AI engineering

Work on AI-driven projects across forecasting, route optimization, anomaly detection, predictive maintenance, and intelligent automation Nice To Have Exposure to Retrieval-Augmented Generation, vector databases, or embedding-based search systems

Familiarity with LLM observability and evaluation tools such as Langfuse, LangSmith, Arize Phoenix, or Weights & Biases

Hands-on experience with practical LLM deployment such as prompt versioning, cost/latency tracking, guardrails, or hallucination detection

Exposure to LLM evaluation frameworks such as RAGAS, DeepEval, or LLM-as-judge evaluation patterns

Basic understanding of MLOps practices and model lifecycle management

Experience working on applied AI projects in academic, internship, or startup settings

Interest in industrial AI and asset-intensive environments

Industry exposure in Mining, Oil & Gas, Aerospace, Supply Chain, Logistics,



or Renewable Energy More Skills AI system design, ML engineering, LLM deployment, prompt engineering, vector databases, scalable APIs, backend systems, AWS, GCP, Azure, containerization, deployment pipelines, MLOps, CI/CD, model lifecycle management, observability, cloud deployment, agentic systems, foundation models Other Five days onsite

Work location: Bangalore

Industrial AI autonomy platform

Focus industries include energy, mining, manufacturing, aerospace, defense, logistics, supply chain, and industrial manufacturing

Platform capabilities include computational knowledge graph, time series, structured and unstructured data, machine vision data, digital twins, normal behavior modeling, natural language processing, computer vision, real-time predictive intelligence, and agentic decision-making

Interview process includes a technical case study assessment

Expect at least two to three technical interview rounds and one onsite round Prepare for this role Recommended resources to build the skills for this position. Sponsored. Generative AI with Large Language Models Coursera Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

Python for Everybody Specialization Coursera Learn Python from scratch — variables, data structures, web scraping, and databases. Python 3 Programming Specialization Coursera Intermediate Python covering classes, inheritance, APIs, and data processing. More LLM jobs Member of Technical Staff, AI/ML Engineering Micro1 India Today AI Engineer – Agentic AI Systems Truebyl Kolkata Today GenAI Developer/ Engineer Capco, A Wipro Company Bengaluru Today LLM Operations Engineer Accenture Pune Today AI Engineer IC Markets Global Hyderabad Today Agentic AI Developer EC-Council Hyderabad Today

📌 Senior AI Engineer – Generative AI & LLMs (Bengaluru)
🏢 Top Gen AI Jobs
📍 Bengaluru