Sr AI Engineer

Simform; Ahmedabad District; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

Simform is seeking a Senior AI Engineer in Ahmedabad, Gujarat, to design, build, and deploy production-grade Generative AI solutions. You will work with LLMs, RAG architectures, and ML models, ensuring reliability and scalable code across Azure/AWS/GCP environments.

You will develop AI agents, orchestration workflows, and robust evaluation frameworks while collaborating with cross-functional teams and mentoring junior engineers.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI/ML or related field.
• 4–7 years of AI/ML development and software engineering experience.
• Strong Python programming skills with PyTorch/ TensorFlow/ scikit-learn.
• Hands-on experience with LLMs, Generative AI, RAG, embeddings, and vector databases.
• Experience with LangChain, LangGraph, or equivalent LLM orchestration frameworks.
• Knowledge of API integration, CI/CD, Git, and cloud deployments.
• Familiarity with AI evaluation frameworks and security considerations.

Responsibilities

• Design and develop Generative AI applications using LLMs, prompt engineering, and structured outputs.
• Build advanced RAG pipelines using embeddings, hybrid search, reranking, and vector databases.
• Develop AI agents and workflows using LangGraph, LangChain, tool calling within MCP.
• Develop and deploy enterprise AI applications on Azure/AWS/GCP.
• Implement AI evaluation frameworks, automated regression testing, and quality metrics.
• Apply traditional ML for classification, regression, NLP, and feature engineering.
• Build data preprocessing, feature engineering, model training, and evaluation pipelines.
• Write clean, modular Python code following software engineering best practices.
• Integrate AI solutions into production systems via APIs with security and monitoring.
• Deploy and optimize AI applications on cloud platforms; collaborate with cross-functional teams.

Skills

Python programming

PyTorch

LLMs

RAG pipelines

LangChain/LangGraph

Prompt engineering

Model evaluation

APIs

MLOps

Data preprocessing

Education

Bachelor's degree in CS/AI

Master's degree in CS/AI

Tools

LangChain

LangGraph

Azure

AWS

GCP

Docker

Kubernetes

MLflow

Job description

Job Description:

Senior AI Engineer
Location: Ahmedabad, Gujarat
Employment Type: Full-Time
Experience: 3–7 Years
Department: AI & Machine Learning

Role Overview

We are looking for a Senior AI Engineer with expertise in Generative AI, Agentic AI, LLMs, and RAG architectures, complemented by a solid foundation in traditional machine learning. You will build, evaluate, and deploy production-grade AI solutions with a strong focus on reliability, scalability, and code quality.

Key Responsibilities

• Design and develop Generative AI applications using LLMs, prompt engineering, and structured outputs.

• Build advanced RAG pipelines using embeddings, hybrid search, reranking, and vector databases.

• Develop AI agents and workflows using LangGraph, LangChain, tool calling, and MCP where appropriate.

• Develop and deploy enterprise level applications using Azure AI services.

• Implement AI evaluation frameworks, automated regression testing, and quality metrics to assess accuracy, relevance, faithfulness, and task completion.

• Apply traditional ML techniques for classification, regression, predictive analytics, and NLP where required.

• Build data preprocessing, feature engineering, model training, and evaluation pipelines.

• Write clean, modular, testable, and maintainable Python code following software engineering best practices.

• Integrate AI solutions into production systems through APIs, with appropriate security, monitoring, and observability.

• Deploy and optimize AI applications on AWS, Azure, or GCP.

• Collaborate with cross-functional teams, contribute to architecture decisions, and mentor junior engineers.

Required Skills & Qualifications

• Bachelors or Masters degree in Computer Science, AI/ML, or a related field.

• 4–7 years of experience in AI/ML development and software engineering.

• Strong Python programming skills and experience with PyTorch, TensorFlow, or scikit-learn.

• Understanding of machine learning fundamentals, including classification, regression, model evaluation, and feature engineering.

• Hands-on experience with LLMs, Generative AI, RAG, embeddings, and vector databases.

• Experience with LangChain, LangGraph, or equivalent LLM orchestration frameworks.

• Understanding of AI agents, tool calling, workflow orchestration, and failure handling.

• Familiarity with evaluation frameworks such as RAGAS, DeepEval, or equivalent tools.

• Experience with APIs, automated testing, Git, CI/CD, databases, and cloud deployments.

• Knowledge of production monitoring, debugging, security, and performance optimization.

Preferred Qualifications

• Experience with MCP, GraphRAG, multi-agent systems, and advanced retrieval techniques.

• Knowledge of LLM fine-tuning, LoRA/PEFT, and model optimization.

• Familiarity with Langfuse, LangSmith, Arize Phoenix, MLflow, Docker, and Kubernetes.

• Exposure to computer vision, multimodal AI, and MLOps/LLMOps practices.