Description : Data Scientist Agentic AIPython, PyTorch, TensorFlow, LLMs, LangChain, Multi-Agent Systems, RAG, Knowledge Graphs, Vector Databases (FAISS, Pinecone), Kubernetes, Cloud DeploymentHyderabad (Onsite)Job Title : Data Scientist Agentic AILocation : Hyderabad, India (Onsite) Company : SpectraforceRole Overview :We are seeking a Data Scientist with deep technical expertise in large language models, autonomous agent design, and intelligent system orchestration. This role focuses on building self-directed, context-aware AI systems that can reason, learn, and interact with humans and software environments.Key Responsibilities :- Design and build Agentic AI architectures capable of autonomous task execution, reasoning, and planning.- Develop and optimize LLM-driven multi-agent systems that coordinate, collaborate, and adapt dynamically.- Implement retrieval-augmented generation (RAG) and memory-based reasoning pipelines for intelligent context use.- Conduct prompt engineering, few-shot learning, and reinforcement learning to fine-tune agent behavior.- Build and manage knowledge graphs, embedding databases, and semantic retrieval layers to power reasoning.- Architect data ingestion, context extraction, and interaction layers that enable AI agents to interface with real-world APIs, databases, and systems.- Lead experimentation, evaluation, and optimization cycles to improve agent accuracy, autonomy,



and decision quality.- Collaborate with AI engineers and product teams to integrate agents into scalable production systems.Technical Skills :Core AI and ML Expertise :- Proficiency in Python, PyTorch, TensorFlow, or JAX.- Strong understanding of transformer-based architectures, LLM tuning, and prompt optimization.- Hands-on experience with Agentic frameworks such as LangChain, LlamaIndex, CrewAI, or similar orchestration tools.- Deep knowledge of multi-agent systems, goal decomposition, and reasoning loops.Data and Infrastructure Engineering :- Experience with vector databases such as FAISS, Pinecone, or Milvus, and graph systems such as Neo4j or ArangoDB.- Proficient in data pipeline design, feature computation, and knowledge representation.- Familiarity with Docker, Kubernetes, and cloud-based AI deployment environments such as AWS, GCP, or Azure.Advanced Capabilities (Preferred) :- Exposure to self-improving agent architectures, meta-learning, or tool-using AI systems.- Understanding of AI alignment, explainability, and autonomous evaluation mechanisms.- Practical experience integrating real-time APIs, workflow orchestration, or decision intelligence systems.What You Will Work On :- Designing autonomous reasoning systems that adapt to dynamic objectives.- Building scalable AI agent platforms that integrate perception, reasoning, and execution layers.- Developing intelligent orchestration frameworks that enable productive human-AI collaboration. (ref:hirist.tech)

📌 Data Scientist - Agentic AI (Hyderabad)
🏢 Spectraforce Technologies (India
📍 Hyderabad