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Agentic AI specialists
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Company Description
Job Description
Roles & Responsibilities :
Roles & Responsibilities :
Education and Work Experience Requirements:
Mandatory Skills:
Qualifications
Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
Job Description
Roles & Responsibilities :
Roles & Responsibilities :
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.
- 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
Educational qualification:
BE,BTECH or PHD
Experience :
7-11 years
Mandatory/requires Skills : AI
Preferred Skills :
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