Consultant Specialist

4 - 9 years

25 - 27 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • 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
  • Strong programming skills in Python, Go, Node.JS 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.
    Experience working with OpenAI, Hugging face or Anthropic APIs.
  • Knowledge of LLM fine-tuning techniques such as LoRA, QLoRA or RLHF
  • Contributions to open-source AI agent projects.
  • Background in game theory, planning algorithms, or decision trees.
  • Familiarity with Vector Databases (Pinecone, FAISS, Weaviate, ChromaDB).
  • Familiarity with interface development with Angular/React/Javascript framework

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