Job Description

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Job purpose:
Design, develop, and deploy end-to-end AI/ML systems, focusing on large language models (LLMs), prompt engineering, and scalable system architecture. Leverage technologies such as Java/Node.js/NET to build robust, high-performance solutions that integrate with enterprise systems.
Who You Are:

• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. PhD is a plus.

• 12+ years of experience in AI/ML development, with at least 2 years working on LLMs or NLP.

• Proven expertise in end-to-end system design and deployment of production-grade AI systems.

• Hands-on experience with Java/Node.js/.NET for backend development.

• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers).

Key Responsibilities:
1. Model Development & Training:

• Design, train, and fine-tune large language models (LLMs) for tasks such as natural language understanding, generation, and classification.

• Implement and optimize machine learning algorithms using frameworks like TensorFlow, PyTorch, or Hugging Face.

2. Prompt Engineering:

• Craft high-quality prompts to maximize LLM performance for specific use cases, including chatbots, text summarization, and question-answering systems.

• Experiment with prompt tuning and few-shot learning techniques to improve model accuracy and efficiency.

3. End-to-End System Design:

• Architect scalable, secure, and fault-tolerant AI/ML systems, integrating LLMs with backend services and APIs.

• Develop microservices-based architectures using Java/Node.js/.NET for seamless integration with enterprise applications.

• Design and implement data pipelines for preprocessing, feature engineering, and model inference.

4. Integration & Deployment:

• Deploy ML models and LLMs to production environments using containerization (Docker, Kubernetes) and cloud platforms (AWS/Azure/GCP).

• Build RESTful or GraphQL APIs 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 system performance through logging, metrics, and A/B testing.

6. Collaboration & Leadership:

• Work closely with data scientists, software engineers, and product managers to align AI solutions with business objectives.

• Mentor junior engineers and contribute to best practices for AI/ML development.

What will excite us:

• Strong understanding of LLM architectures and prompt engineering techniques.

• Experience with backend development using Java/Node.js (Express)/.NET Core.

• Familiarity with cloud platforms (AWS, Azure, GCP) and DevOps tools (Docker, Kubernetes, CI/CD).

• Knowledge of database systems (SQL, NoSQL) and data pipeline tools (Apache Kafka, Airflow).

• Strong problem-solving and analytical skills.

• Excellent communication and teamwork abilities.

• Ability to work in a fast-paced, collaborative environment.

What will excite you:

• Lead AI innovation in a fast-growing, technology-driven organization.

• Work on cutting-edge AI solutions, including LLMs, autonomous AI agents, and Generative AI applications.

• Engage with top-tier enterprise clients and drive AI transformation at scale.

Location: Ahmedabad