Senior Agentic AI Developer / Practice Lead

Position: Senior Agentic AI Developer / Practice Lead
Experience: 8–12 Years
Location: Hyderabad, India
Onboarding: Immediate or as per availability
Job Type: Full-Time
Work Mode: Work from Office

We are seeking a highly experienced Senior Agentic AI Developer / Practice Lead to design, build, and optimize advanced agent-based AI systems. This role is ideal for professionals with deep technical expertise in AI/ML, software development, and system integration, with proven experience in building autonomous AI agents capable of reasoning, memory, planning, and multi-step execution.

Responsibilities:

    • Lead the design and implementation of agentic AI frameworks with reasoning, memory, and reflection loops.

    • Integrate LLMs (GPT, Claude, LLaMA, Mistral) with external tools, APIs, and knowledge bases.

    • Architect scalable AI systems leveraging frameworks such as LangChain, LlamaIndex, Haystack, AutoGen, or DSPy.

    • Implement memory management (vector DBs, datastores) for agent persistence.

    • Optimize performance, scalability, and reliability of AI-driven workflows.

    • Connect agents with enterprise systems (CRM, ERP, cloud services, RPA tools) for autonomous task execution.

    • Lead a team of junior developers and AI engineers; provide mentorship and define best practices.

    • Stay updated on GenAI, agent frameworks, reinforcement learning, and multi-modal AI (text, speech, vision).

Qualifications:

    • Bachelor’s or Master’s degree in Computer Science, AI, or related field.

    • 8–12 years of overall experience in AI/ML and software development.

    • Hands-on experience building agentic AI systems.

    • Strong programming skills in Python, Node.js, or Java.

    • Expertise with LLMs and NLP pipelines (OpenAI, Anthropic, Cohere, Hugging Face).

    • Hands-on experience with frameworks like LangChain, AutoGen, DSPy, or CrewAI.

    • Proficiency with databases & vector stores (Pinecone, Weaviate, Milvus, FAISS, Redis).

    • Experience with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).

    • Knowledge of MLOps, CI/CD, API design, and microservices.

Desired Skills:

    • Familiarity with reinforcement learning, prompt engineering, and fine-tuning LLMs.

    • Ability to design autonomous task loops (Plan → Act → Reflect).

    • Contributions to open-source agentic AI frameworks.

    • Experience with multi-agent coordination in real-world use cases.

    • Knowledge of cybersecurity best practices in AI agent design.

    • Prior work on enterprise automation, RPA, or AI copilots.

Interview Process:

    • Fast-track: Interviews scheduled promptly upon receipt of profiles.
    • Timely feedback: Rapid responses for smooth hiring and onboarding.

Job Category: Software Development
Job Type: Part Time
Job Location: Hyderabad
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