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Agentic AI specialists

Agentic AI specialists

Bosch Global Software TechnologiesPune, Maharashtra, India
30+ days ago
Job description

Education and Work Experience Requirements :

  • 5 to 8 years of experience as Data Scientist
  • 2 to 3 years of experience in Generative AI solution development
  • Strong understanding of AI agent collaboration, negotiation, and autonomous decision-making.
  • Experience in developing and deploying AI agents that operate independently or collaboratively in complex environments.
  • Deep knowledge of agentic AI principles, including self-improving, self-organizing, and goal-driven agents.
  • Proficiency in multi-agent frameworks such as AutoGen, LangGraph, LangChain, and CrewAI for orchestrating AI workflows.
  • Hands-on experience integrating LLMs (GPT, LLaMA, Mistral, etc.) with agentic frameworks to enhance automation and reasoning.
  • Expertise in hierarchical agent frameworks, distributed agent coordination, and decentralized AI governance.
  • Strong grasp of memory architectures, tool use, and action planning within AI agents.
  • Autonomy Score : Measures the degree of independence in decision-making.
  • Collaboration Efficiency : Evaluates the ability of agents to work together and share information.
  • Task Completion Rate : Tracks the percentage of tasks successfully executed by agents.
  • Response Time : Measures the latency in agent decision-making and execution.
  • Adaptability Index : Assesses how well agents adjust to dynamic changes in the environment.
  • Resource Utilization Efficiency : Evaluates computational and memory usage for optimization.
  • Explainability & Interpretability Score : Ensures transparency in agent reasoning and outputs.
  • Error Rate & Recovery Time : Tracks failures and the system’s ability to self-correct.
  • Knowledge Retention & Utilization : Measures how effectively agents recall and apply information.
  • Hands-on experience with LLMs such as GPT, BERT, LLaMA, Mistral, Claude, Gemini, etc.
  • Proven expertise in both open-source (LLaMA, Gemma, Mixtral) and closed-source (OpenAI GPT, Azure OpenAI, Claude, Gemini) LLMs.
  • Advanced skills in prompt engineering, tuning, retrieval-augmented generation (RAG), reinforcement learning (RAFT), and LLM fine-tuning (PEFT, LoRA, QLoRA).
  • Strong understanding of small language models (SLMs) like Phi-3 and BERT, along with Transformer architectures.
  • Experience working with text-to-image models such as Stable Diffusion, DALL
  • E, and Midjourney.
  • Proficiency in vector databases such as Pinecone, Qdrant for knowledge retrieval in agentic AI systems.
  • Deep understanding of Human-Machine Interaction (HMI) frameworks within cloud and on-prem environments
  • Strong grasp of deep learning architectures, including CNNs, RNNs, Transformers, GANs, and VAEs.
  • Expertise in Python, R, TensorFlow, Keras, and PyTorch.
  • Hands-on experience with NLP tools and libraries : OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Knowledge Graphs, and LLM-based applications.
  • Proficiency in advanced statistical methods and transformer-based text processing.
  • Experience in reinforcement learning and planning techniques for autonomous agent behavior.

Mandatory Skills :

  • Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models.
  • Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails
  • Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc.
  • Experience in cloud services like Azure, GCP and AWS
  • Multi-agent frameworks : AutoGen, LangGraph, LangChain, CrewAI
  • Large Language Models (LLMs) : GPT,
  • Qualifications

    BE,B Tech, MTech

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