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Orbion Infotech
AI/ML +Agentic AI Eng( 6 yrs Hyderabad)
Orbion Infotech
Hyderabad•On-site•6-9 Yrs•5 days ago
Job description
AI/MLAgentic AILLMsPythonKubernetesLangChain
Overview
A fast-scaling AI-first tech firm in the Enterprise Automation & Agentic AI space, we build autonomous, multi-agent systems that automate enterprise workflows, enhance decision intelligence, and power intelligent automation across banking, healthcare, and logistics. Our engineers ship scalable, LLM-powered agent architectures that operate across structured and unstructured data domains—leveraging Python, LangChain, LlamaIndex, and open-source ML ecosystems to deliver real business impact.
Responsibilities
- Design and deploy end-to-end agentic AI workflows—orchestrating multiple LLM agents across tools, APIs, and data sources to automate complex business decisions.
- Build and optimize agent memory, planning, and tool-calling systems using LangGraph, AutoGen, or similar frameworks for context-aware, persistent interactions.
- Integrate LLMs (e.g., GPT-4, Llama 3, Mistral) with RAG pipelines, vector stores (FAISS, Pinecone), and function-calling modules to deliver high-accuracy, low-latency responses.
- Develop scalable AI agent backends in Python, containerized via Docker and orchestrated on Kubernetes (EKS/AKS), with observability via Prometheus/Grafana.
- Partner with product and data science teams to define agent personas, success metrics, and fallback/recovery logic for high-availability systems.
- Maintain engineering excellence: write clean, testable code, implement CI/CD pipelines, and document system architecture for team scalability.
Qualifications
- Python
- LangChain
- LangGraph
- AutoGen
- RAG
- FAISS
- LLM Fine-Tuning
- Kubernetes
Nice to have
- LLM Agent Evaluation Frameworks (e.g., LangSmith, TruLens)
- Multi-Agent System Design Patterns
- Cloud Certification (AWS/Azure/GCP)
Education
- Bachelor’s/Master’s degree in Computer Science, Engineering, or related field
Benefits
- Work onsite in Hyderabad with a high-impact, research-driven team building next-gen agentic AI solutions.
- Access to latest LLM APIs, compute resources, and internal hackathons to prototype cutting-edge agent architectures.
- Flexible PTO, performance bonuses, and a mission-driven culture focused on shipping real AI products—not just experiments.