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.
5+ 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

Technical Lead- Artificial Intelligence