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 : Bachelors or Masters 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
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Skills Required
Java, Airflow, .NET, Node.js, Sql, Nosql, Tensorflow, Pytorch, Gcp, Docker, Apache Kafka, Azure, Python, Kubernetes, Aws
