Associate Principal - AI Engineering

We are seeking an experienced AI Tech Lead / Associate Director with 12 years of expertise to join our dynamic team in Bengaluru or Hyderabad. The ideal candidate will have a strong background in developing intelligent agents using LangGraph AutoGen and CrewAI frameworks. This role demands advanced proficiency in Python and deep knowledge of machine learning libraries such as TensorFlow, PyTorch, and Keras. The candidate should be well-versed in deep learning and natural language processing (NLP) techniques, including architectures like RNN, CNN, LSTM, and transformers. Experience in deploying scalable AI solutions on cloud platforms and managing containerized environments is essential.

Key Responsibilities
- Lead the design, development, and deployment of AI agents using LangGraph AutoGen and CrewAI technologies.
- Utilize Python and machine learning frameworks to build and optimize deep learning models, particularly for NLP applications.
- Architect and implement scalable AI solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Manage containerization and orchestration using Docker and Kubernetes, integrating DevOps practices with tools like Jenkins and GitLab CI/CD pipelines.
- Automate cloud infrastructure deployments using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
- Design and maintain databases, both SQL (PostgreSQL) and NoSQL (MongoDB, Cassandra), to handle diverse data types effectively.
- Develop and maintain distributed systems, RESTful APIs, GraphQL interfaces, and microservices architectures.
- Implement event-driven architectures using message brokers like RabbitMQ or Apache Kafka to ensure reliable intersystem communication.
- Integrate open-source model libraries such as Hugging Face Transformers and OpenAI APIs to enhance AI capabilities.
- Oversee large-scale machine learning project deployments, applying best practices in DevOps, MLOps, and LLM Ops.
- Train and fine-tune Large Language Models (LLMs) including PALM2, GPT-4, LLAMA, and similar architectures.
- Monitor system health and performance using tools like Prometheus, Grafana, and the ELK Stack to maintain operational reliability.

Required Qualifications
- Minimum 12 years of professional experience in AI and machine learning development roles.
- Strong expertise in Python programming and machine learning frameworks such as TensorFlow, PyTorch, and Keras.
- Deep understanding of neural network architectures and NLP algorithms including RNN, CNN, LSTM, and transformers.
- Proven experience with cloud platforms (AWS, Azure, or GCP) for AI solution deployment.
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes), along with CI/CD tools like Jenkins or GitLab.
- Proficiency in Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
- Solid knowledge of both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra).
- Expertise in designing distributed systems, RESTful APIs, GraphQL, microservices, and event-driven architectures with message brokers.
- Familiarity with open-source AI model libraries and API integrations (Hugging Face, OpenAI).
- Experience in large-scale ML project deployment and operationalization (DevOps, MLOps, LLM Ops).
- Skilled in training and fine-tuning large language models like PALM2, GPT-4, and LLAMA.
- Competence in monitoring and logging tools such as Prometheus, Grafana, and ELK Stack.

Preferred Qualifications and Benefits
- Experience with Python APIs specifically for LangChain or LlamaIndex is highly desirable.
- Strong leadership skills with the ability to guide cross-functional teams and manage complex AI projects.
- Exposure to event-driven systems and message broker technologies adds significant value.
- Opportunity to work with cutting-edge AI technologies and contribute to innovative projects in a collaborative environment.
- Competitive compensation package and career growth prospects in a leading AI-focused organization.

This role offers a challenging and rewarding opportunity for a seasoned AI professional to lead advanced AI initiatives leveraging state-of-the-art technologies and frameworks.