Senior Software Engineer/Tech Lead- AI

2 weeks ago

Ahmedabad, Gujarat, India Azilen Technologies Full time ₹ 7,00,000 - ₹ 12,00,000 per year

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 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 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 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 (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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