SSE- AI/ML

Azilen Technologies Pvt. Ltd.; Ahmedabad District; On-site; INR 5,000,000 - 8,000,000; Full time

Job summary

Azilen Technologies Pvt. Ltd. seeks a seasoned AI/ML Engineer to design, train, and deploy large language models and related NLP systems.

You will lead prompt engineering, model optimization, and integration with enterprise backends, building scalable microservices in Java/Node.js/.NET. The role emphasizes production-grade ML systems, cloud deployment via Docker/Kubernetes, and collaboration with data scientists and product teams.

Qualifications

• Bachelor’s or Master’s degree in CS/Engineering or related field; PhD is a plus.
• 5+ years in AI/ML development with at least 2 years on LLMs/NLP.
• End-to-end design and deployment of production-grade AI systems.
• Hands-on with Java/Node.js/.NET for backend development.
• Proficiency in Python and ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers.

Responsibilities

• Design, train, and fine-tune LLMs for NLP tasks such as understanding, generation, and classification.
• Implement and optimize ML algorithms using TF, PyTorch, or Hugging Face.

Skills

Python

LLMs/NLP

Prompt engineering

Backend development

Problem solving

Education

Bachelor’s or Master’s in CS/Engineering

Tools

TensorFlow

PyTorch

Hugging Face Transformers

Docker

Kubernetes

REST APIs

GraphQL

AWS

Azure

GCP

SQL

NoSQL

Apache Kafka

Airflow

Job description

Design, develop, and deployend-to-end AI/ML systems, focusing on large language models (LLMs), promptengineering, and scalable system architecture. Leverage technologies such asJava/Node.js/NET to build robust, high-performance solutions that integratewith enterprise systems.

Who You Are:

• Education: Bachelor’s orMaster’s degree in Computer Science, Engineering, or a related field. PhDis a plus.
  
• 5+ years of experience inAI/ML development, with at least 2 years working on LLMs or NLP.
  
• Proven expertise inend-to-end system design and deployment of production-grade AI systems.
  
• Hands-on experience withJava/Node.js/.NET for backend development.
  
• Proficiency in Python andML frameworks (TensorFlow, PyTorch, Hugging Face Transformers).
  

Key Responsibilities:

• Design, train, andfine-tune large language models (LLMs) for tasks such as natural languageunderstanding, generation, and classification.
  
• Implement and optimizemachine learning algorithms using frameworks like TensorFlow, PyTorch, orHugging Face.
  

2. Prompt Engineering:

• Craft high-quality promptsto maximize LLM performance for specific use cases, including chatbots,text summarization, and question-answering systems.
  
• Experiment with prompttuning and few-shot learning techniques to improve model accuracy andefficiency.
  

3. End-to-End System Design:

• Architect scalable,secure, and fault-tolerant AI/ML systems, integrating LLMs with backendservices and APIs.
  
• Developmicroservices-based architectures using Java/Node.js/.NET for seamlessintegration with enterprise applications.
  
• Design and implement datapipelines for preprocessing, feature engineering, and model inference.
  

4. Integration &Deployment:

• Deploy ML models and LLMsto production environments using containerization (Docker, Kubernetes) andcloud platforms (AWS/Azure/GCP).
  
• Build RESTful or GraphQLAPIs to expose AI capabilities to front-end or third-party applications.
  

5. Performance Optimization:

• Optimize LLMs for latency,throughput, and resource efficiency using techniques like quantization,pruning, and model distillation.
  
• Monitor and improve systemperformance through logging, metrics, and A/B testing.
  
• Work closely with datascientists, software engineers, and product managers to align AI solutionswith business objectives.
  
• Mentor junior engineersand contribute to best practices for AI/ML development.
  

What will excite us:

• Strong understanding ofLLM architectures and prompt engineering techniques.
  
• Experience with backenddevelopment using Java/Node.js (Express)/.NET Core.
  
• Familiarity with cloudplatforms (AWS, Azure, GCP) and DevOps tools (Docker, Kubernetes, CI/CD).
  
• Knowledge of databasesystems (SQL, NoSQL) and data pipeline tools (Apache Kafka, Airflow).
  
• Strong problem-solving andanalytical skills.
  
• Excellent communicationand teamwork abilities.
  
• Ability to work in afast-paced, collaborative environment.
  

What will excite you:

• Lead AI innovation in a fast-growing, technology-driven organization.
  
• Work on cutting-edge AIsolutions, including LLMs, autonomous AI agents, and Generative AIapplications.
  
• Engage with top-tierenterprise clients and drive AI transformation at scale.