Agentic AI Developer / Consultant Specialist

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We are looking for an Agentic AI Developer (5+ years experience) to design, build, and optimize autonomous AI agents that can reason, plan, and take actions independently in complex environments. The ideal candidate will have experience with LLM-based agents, Reinforcement Learning (RL), event-driven architectures, and multi-agent systems. You will work on next-generation AI solutions that enhance automation, decision-making, and self-improving AI behavior

Department- Agentic AI Developer

In this role, you will :

Develop and deploy autonomous AI agents that operate, learn, and adapt in real-world environments.

Optimize TensorFlow-based models for real-time inference and low-latency decision-making.

Enhance agent decision-making abilities through RL, planning, and heuristic algorithms.

Design and implement multi-agent architectures using frameworks like LangChain, AutoGPT, CrewAI, or similar.

Integrate AI agents with APIs, databases, and messaging systems (Kafka, RabbitMQ, MQTT).

Monitor and optimize agent performance using observability tools like OpenTelemetry, ELK stack, or Prometheus.

Ensure AI safety, security, and ethical considerations in agent behavior.

Collaborate with AI researchers, ML engineers, and software developers to push the boundaries of Agentic AI.

Stay up to date with AI trends, including autonomous agents, self-improving models, and multi-agent coordination.

Requirements

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

Strong programming skills in Python, Go, or Java.

Experience with LLM-based agents (AutoGPT, BabyAGI, CrewAI, OpenAI Function Calling, etc.).

Hands-on experience with LLMs (GPT, LLaMA, Claude, Mistral, etc.), diffusion model or GANs

Hands-on experience with Reinforcement Learning (RL), Evolutionary Algorithms, or Graph Neural Networks.

Strong experience with AI / ML framework such as TensorFlow, PyTorch or JAX.

Knowledge of event-driven architectures and messaging systems (Kafka, Redis Streams, RabbitMQ).

Proficiency in cloud AI services (AWS SageMaker, Azure AI, Google Vertex AI).

Experience with multi-agent coordination & communication protocols.

Familiarity with observability & logging tools (Prometheus, OpenTelemetry, ELK).

Strong understanding of distributed systems, networking, and security for AI agents.