Data Scientist - Agentic Developer

Job Description

Data Scientist - Agentic DeveloperDear Candidate,Greetings from 3 Kubed Consulting India Pvt Ltd!We are seeking a Data Scientist-Agentic Developerfor one of our prestigious clients to design cutting-edge AI solutions and autonomous systems focused on agentic workflows andgenerative AItechnologies. HYBRID work mode for BANGALORE location. The JD is as below.JD:EXP: 3.5 to 8 yearsLocation: BANGALOREWork mode: HYBRIDEmployment: On FTE PMT basis with client (NO THRID PARTY)Interview : 2/3 rounds virtualNP: IDEALLY IMMEDIATE MAX 15 to 20 days (If your LWD is beyond 8th of June please excuse)What Youll DoDesign, develop, and deploy multi-agent systems and agentic applications using frameworks like AutoGen,LangGraph,CrewAI, or similarBuild intelligent systems that enable autonomous decision-making and task executionImplement Agent-to-Agent (A2A) communication protocols and Model Context Protocol(MCP) for seamless agent collaborationDevelop automation solutions using OpenAPI standardsfor integration with enterprise systemsCreate self-healing, adaptive workflows that optimize business processes autonomouslyUse ML, deep learning, and Generative AItools to design, evangelize, and implement state-of-the-art solutionsDefine and implement best practices for workflow orchestration building, testing, and deploying scalable AI solutions, with a focus on generative models and LLMs using proprietary or open-source modelsDrive successful business outcomes by designing and building cloud-hosted Generative AIsolutionsWork closely with internal teams to integrate RAG workflows, agent-based systems, and automation frameworks into applicationsDesign and implement architectural solutions for Information Retrieval using RAG, Vector DBs, andKnowledge GraphsWork with public cloud (AWS) and on-premises infrastructure for deploying LLMs, agents, and orchestration systemsEvaluate, build, and fine-tune ML models and LLMs to solve complex business problemsStay abreast of latest developments in agentic AI, autonomous systems, language models, andgenerative AItechnologies.What Youll NeedRequired:BE, Masters or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical experience4-8 years of overall technical experience with 0-2 years of hands-on experience in Generative AI and LLM technologies1 years of experience buildingagentic systems,workflow automation, or autonomous AI applicationsDeep hands-on experience with agentic frameworks (AutoGen,LangGraph,CrewAI, Agency Swarm, or similar)Strong knowledge ofworkflow orchestrationtools and patterns (Temporal,Airflow,Prefect, or similar)Expertise in OpenAPI standards, Agent-to-Agent (A2A) protocols, andModel Context Protocol(MCP)Experience designing multi-agent architectures with memory, planning, and tool-use capabilitiesKnowledge of agent evaluation, testing frameworks, and observability patternsProven track record of deploying and optimizing LLM models for inference in production environmentsExtensive experience with LLM orchestration frameworks (LangChain,Llama Index required)Hands-on experience with Amazon Bedrock,SageMaker JumpStart, and other cloud-based LLM platformsExpertise in RAG architectures, Fine-tuning techniques, and Prompt EngineeringDeep understanding of Vector Databases(Pinecone, Weaviate, Milvus, ChromaDB) and Knowledge GraphsExpert in NLP techniques and deep learning libraries (Transformer models, LSTM, BiLSTM, CNN, BERT, GPT, T5)Proficiency with ML frameworks:TensorFlow, PyTorch, Hugging Face Transformers, scikit-learnStrong programming skills in Python(required), plus JavaScript/TypeScript or Node.jsDeep understanding of data structures, algorithms, and system design patternsHands-on experience in MLOps/LLMOps including data pipelines, model training/refinement, validation, drift management, and servingExperience with containerization (Docker, Kubernetes) and CI/CD pipelines for ML systemsKnowledge of monitoring, logging, and observability tools for production AI systems.Preferred:Experience with function calling, tool use, and external API integration in agent systemsKnowledge of reinforcement learning and agent training methodologiesFamiliarity with semantic reasoning, planning algorithms (ReAct, Chain-of-Thought, Tree-of-Thoughts)Experience with graph databases (Neo4j, Neptune) and ontology designContributions to open-source AI/ML projectsPublications or patents in AI/ML domainPlease reply with1. T EXP2. R.EXP3. CCTC4. ECTC5. NP6. UPDATED RESUMEWith regards,NaganarasimhanFor 3 Kubed Consulting India Pvt Ltd

Keyskills :
pythonartificial intelligencemachine learningdata scientistllmsragagentic developerlanggraphllamaindex