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COGNITBOTZ Solutions is a leading Agentic AI, Intelligent Automation company helping global enterprises accelerate digital transformation through cutting-edge AI and automation solutions. We are expanding our Agentic AI practice and building next-generation autonomous AI systems for enterprise customers worldwide.
Position: Agentic AI Engineer
Location: Chennai(5Days WFO)
Shift Timings - 2PM - 11PM IST
Experience: 2-6 Years
Must-Have Skills
* Python (Advanced)
* Agentic AI & Multi-Agent Architectures
* LangGraph (Mandatory)
* LangChain
* RAG & Vector Databases
* FastAPI & REST APIs
* OpenAI / Anthropic / Gemini APIs
* Prompt Engineering
Required Experience
✅ Built and deployed at least Two production-grade Multi-Agent AI application
✅ Hands-on experience with:
* Agent orchestration
* Agent communication
* Agent memory
* Tool calling
* Human-in-the-loop workflows
* Failure recovery
Preferred Skills
* CrewAI, AutoGen, MCP
* Neo4j / Knowledge Graphs
* Docker, Kubernetes
* AWS / Azure / GCP
* LangSmith, OpenTelemetry, Grafana
What You'll Do
* Design and build enterprise-grade autonomous AI workflows
* Develop scalable multi-agent systems using LangGraph
* Integrate AI agents with enterprise applications, APIs, databases, and business processes
* Deploy, monitor, and optimize AI systems in production
Must have expertise on :
* LangGraph architecture
* Multi-agent collaboration patterns
* State & memory management
* Human-in-the-loop design
* Production deployment
* Cost optimization & observability
Bonus: Share GitHub repositories, architecture diagrams, production deployments, or multi-agent case studies.
Job ID: 149064081
Skills:
BigQuery, Google Cloud Platform, Apis, Microservices, Python, Cloud Functions, retrieval-augmented generation, Google Kubernetes Engine, Generative AI APIs, prompt engineering, Vertex AI, Large Language Models
Skills:
Tensorflow, Algorithms, MLops, Big Data Technologies, AWS, Pytorch, Software Engineering, Python, Kubernetes, Azure, Docker, Gcp, Data Structures, Git, Nlp, R, Feature Engineering, Scikit-learn, Data Analysis
Skills:
snowflake , bedrock , Scikit Learn, Python, XGBoost, Data Cloud, agentic frameworks, MCP, langchain, large enterprise datasets, analytics platforms, ML libraries
Skills:
Prometheus, AWS CloudFormation, Tensorflow, Grafana, Google Cloud, AWS, Pytorch, Kubernetes, Azure, Docker, Terraform, Cloudwatch, MLflow, Scikit-learn, TensorFlow Serving
Skills:
Azure Cloud, Tensorflow, Machine Learning, Azure Functions, Pytorch, Python, Nlp, Azure ML, Azure DevOps, FAISS, MLOps tools, MLflow, Kubeflow, Scikit-learn, LLM-based systems, vector databases, Azure ML pipelines, Weaviate, Pinecone, HuggingFace, Spacy, Transformers
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