Agentic AI Developer / Associate Director, Data and Analytics

We are currently seeking an experienced professional to join our team in the role of Associate Director, Data and Analytics / Agentic AI Developer.

In this role, you will:

1. Develop and deploy autonomous AI agents that operate, learn, and adapt in real-world environments.
2. Optimize TensorFlow-based models for real-time inference and low-latency decision-making.
3. Enhance agent decision-making abilities through RL, planning, and heuristic algorithms.
4. Design and implement multi-agent architectures using frameworks like LangChain, AutoGPT, CrewAI, or similar.
5. Integrate AI agents with APIs, databases, and messaging systems (Kafka, RabbitMQ, MQTT).
6. Monitor and optimize agent performance using observability tools like OpenTelemetry, ELK stack, or Prometheus.
7. Ensure AI safety, security, and ethical considerations in agent behavior.
8. Collaborate with AI researchers, ML engineers, and software developers to push the boundaries of Agentic AI.
9. ⁠Stay up to date with AI trends, including autonomous agents, self-improving models, and multi-agent coordination

Qualifications

To be successful in this role, you should meet the following requirements

1. Strong programming skills in Python, Go, Node.JS or Java.
2. Experience with LLM-based agents (AutoGPT, BabyAGI, CrewAI, OpenAI Function Calling, etc.).
3. ⁠Hands-on experience with LLMs (GPT, LLaMA, Claude, Mistral, etc.), diffusion model or GANs
4. Hands-on experience with Reinforcement Learning (RL), Evolutionary Algorithms, or Graph Neural Networks.
5. Strong experience with AI/ML framework such as TensorFlow, PyTorch or JAX.
6. Knowledge of event-driven architectures and messaging systems (Kafka, Redis Streams, RabbitMQ).
7. Proficiency in cloud AI services (AWS SageMaker, Azure AI, Google Vertex AI).
8. Experience with multi-agent coordination & communication protocols.
9. Familiarity with observability & logging tools (Prometheus, OpenTelemetry, ELK).
10. ⁠Strong understanding of distributed systems, networking, and security for AI agents