Senior Artificial Intelligence Engineer

Appalus Services India; Dadri, Gurugram District, New Delhi; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Appalus Services India is seeking a Senior AI Engineer to design, develop, and deploy production-ready AI systems across AI/ML, Generative AI, LLMs, and software engineering. You will build scalable AI-powered features and integrate models into production, collaborating with product, design, and infra teams to ensure reliability in distributed environments.

The role emphasizes data pipelines with Airflow, dbt, or Spark, model evaluation, and responsible AI practices.

Qualifications

• 4-7 years of software engineering experience with 4+ years in production AI/ML systems.
• Strong proficiency in Python.
• Hands-on experience with LLMs, Generative AI, RAG, LangChain, and/or LangGraph.
• Experience with Vector Databases such as Pinecone, Weaviate, or pgvector.
• Understanding of NLP, semantic search, model evaluation, and prompt engineering.
• Experience with AWS / Azure / GCP and containerized deployments.
• Familiarity with data engineering and ETL pipelines.

Responsibilities

• Build and deploy LLM-powered features, including AI Agents and RAG pipelines.
• Develop and integrate AI/ML models into production systems.
• Work on fine-tuning, prompt engineering, model selection, and evaluation.
• Build data pipelines for ML training, evaluation, and monitoring using Airflow, dbt, or Spark.
• Implement model evaluation, benchmarking, hallucination detection, and quality standards.
• Collaborate with product, design, and infrastructure teams to deliver reliable and scalable AI solutions.

Skills

Python

LLMs

Generative AI

RAG pipelines

LangChain

LangGraph

Vector Databases

Pinecone

Weaviate

pgvector

Airflow

dbt

Spark

AWS

Azure

GCP

ETL pipelines

Tools

Pinecone

Weaviate

pgvector

Airflow

dbt

Spark

Job description

About the Role

We are looking for a Senior AI Engineer to design, develop, and deploy production-ready AI systems. The role involves working across AI/ML, Generative AI, LLMs, and software engineering to build scalable AI-powered solutions.

Key Responsibilities

• Build and deploy LLM-powered features, including AI Agents and RAG pipelines.
• Develop and integrate AI/ML models into production systems.
• Work on fine-tuning, prompt engineering, model selection, and evaluation.
• Build data pipelines for ML training, evaluation, and monitoring using Airflow, dbt, or Spark.
• Implement model evaluation, benchmarking, hallucination detection, and quality standards.
• Collaborate with product, design, and infrastructure teams to deliver reliable and scalable AI solutions.

Required Skills

• 4-7 years of software engineering experience with 4+ years in production AI/ML systems.
• Strong proficiency in Python.
• Hands-on experience with LLMs, Generative AI, RAG, LangChain, and/or LangGraph.
• Experience with Vector Databases such as Pinecone, Weaviate, or pgvector.
• Understanding of NLP, semantic search, model evaluation, and prompt engineering.
• Experience with AWS / Azure / GCP and containerized deployments.
• Familiarity with data engineering and ETL pipelines.

Preferred

• Experience with fine-tuning / RLHF and open-source models such as LLaMA, Mistral, or Falcon.
• Experience in NLP, information retrieval, or recommendation systems.
• Knowledge of AI governance, data privacy, and responsible AI.