Agentic AI Engineer
- Source: Indeed
- Technology Next
- On-site
- State of Telangāna, India
- Full-Time
- Mid level
Job Description
Location: Hyderabad (Hybrid – 5 Days/Week)
Experience: 6–8 Years
Work Timings: 11:00 AM – 9:00 PM
Are you passionate about building autonomous AI systems powered by Large Language Models? We’re looking for an experienced AI/ML Engineer – Agentic AI to design, develop, and deploy enterprise-grade AI agents that can reason, plan, orchestrate workflows, and integrate seamlessly with enterprise applications.
Key Responsibilities
- Design and build autonomous AI agents for enterprise use cases
- Develop multi-step reasoning, planning, and workflow orchestration solutions
- Build scalable RAG pipelines using vector databases and embedding models
-Integrate AI agents with APIs, databases, and enterprise platforms
-Deploy AI applications using Docker, Kubernetes, and cloud services - Implement AgentOps, monitoring, observability, and evaluation frameworks
- Ensure Responsible AI, security, guardrails, and data privacy best practices
Must-Have Skills
✔ Python
✔ Agentic AI (LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel)
✔ Large Language Models (OpenAI, Azure OpenAI, Anthropic, Open-source LLMs)
✔ Retrieval-Augmented Generation (RAG) & Vector Databases (FAISS, Pinecone, Azure AI Search)
✔ Azure / AWS / GCP
✔ Docker & Kubernetes
✔ REST APIs, SQL/NoSQL, CI/CD
Nice to Have
- Multi-Agent Systems
- Enterprise Copilot Development
- Knowledge Graphs
- Reinforcement Learning (RL)
- LoRA Fine-Tuning
- Human-AI Collaboration Workflows
Qualifications
- 6–8 years of Software Engineering / AI-ML experience
- Strong hands-on experience building production AI applications
- Proven expertise in LLMs, RAG, Agentic AI frameworks, and cloud deployment
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
Pay: ₹80,000.00 - ₹100,000.00 per month
Experience:
- AI/ML: 6 years (Required)
Work Location: Hybrid remote in Hyderabad, Telangana (Hyderabad District)
Skills
- Docker
- Kubernetes
- guardrails
- Python
- LangChain
- LangGraph
- crewai
- microsoft-azure
- FAISS
- azure-search
- amazon-web-services
- google-cloud-platform
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