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    Job · 19822285

    HYDERABAD · FULLTIME

    Sr Agentic AI developer

    Anblick Solutions logo

    Anblick Solutions

    Hyderabad · onsite · Posted 21d ago

    Sourced fromNaukri
    Undisclosed7–10 yrsfulltimeHyderabad

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    Section · 01

    About this role

    Senior Agentic AI Engineer
    Experience: 7-10 years
    Location: Hyderabad / Ahmedabad
    Employment Type: Full-time
    Job Summary
    We are looking for a Senior Agentic AI Engineer with strong hands-on experience in Generative AI, LLMs, AI agents, and enterprise AI solutions. The candidate will be responsible for designing and developing intelligent, autonomous AI agents that can reason, use tools, interact with enterprise systems, and execute multi-step workflows.
    Key Responsibilities
    • Design and develop Agentic AI solutions using LLMs, AI agents, and multi-agent architectures.
    • Build AI agents capable of reasoning, planning, tool/function calling, and autonomous task execution.
    • Develop RAG-based applications using enterprise data and knowledge bases.
    • Work with frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or equivalent.
    • Integrate LLMs with enterprise APIs, databases, cloud services, and business applications.
    • Implement prompt engineering, context management, memory, agent orchestration, and guardrails.
    • Develop and optimize AI workflows using Python and modern AI/ML libraries.
    • Work with vector databases such as Pinecone, Weaviate, Milvus, Chroma, or Azure AI Search.
    • Implement evaluation, monitoring, observability, security, and governance for AI agents.
    • Optimize solutions for latency, scalability, reliability, and cost.
    • Collaborate with architects, data engineers, product teams, and business stakeholders to translate requirements into AI solutions.
    • Mentor junior engineers and contribute to technical design and architecture decisions.
    Required Skills
    • Strong hands-on experience with Generative AI and Large Language Models (LLMs).
    • Strong Python programming skills.
    • Experience developing AI Agents / Agentic AI systems.
    • Strong understanding of RAG, embeddings, vector search, prompt engineering, and function/tool calling.
    • Experience with LangGraph/LangChain or similar agent frameworks.
    • Experience with OpenAI, Azure OpenAI, Anthropic, Gemini, or other LLM platforms.
    • Good understanding of multi-agent systems and agent orchestration.
    • Experience integrating AI applications with REST APIs, databases, enterprise applications, and cloud platforms.
    • Knowledge of AWS/Azure/GCP and AI/ML deployment patterns.
    • Experience with Docker, Kubernetes, CI/CD, and production deployment is preferred.
    • Strong understanding of software engineering principles, API development, and scalable application architecture.

    Education
    Bachelors/Masters degree in Computer Science, Engineering, AI/ML, Data Science, or a related field.


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Section · 02

    Skills

    orchestrationgoogle cloud platformenterprise applicationsapplication architectureMonitoringdeploymentPythoncloudComputer ScienceData Science

    Section · Company

    About Anblick Solutions

    Anblick Solutions logo

    Anblick Solutions

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    About

    Anblicks, a team of specialists in strategic dUnlock the full potential of your data with Anblicks, a team of strategic data modernization experts. Our tailored services cover seamless data migration, robust re-architecture, and transformative solutions. The "AIM" Framework from Anblicks, encompassing Advise, Implement, and Manage, presents a dynamic methodology that simplifies data management. This approach effectively tailors, launches, and maintains data strategies. Anblicks guides its clients in customizing their data foundation, deploying an insight-driven platform, and provides continuous support with its innovative services. This empowers clients to fully leverage their data assets, securing their future capabilities. The framework promotes data democratization and governance, driving growth and enhancing competitive edges through strategic use of data and AI.

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