Job Overview

We are seeking a talented AI/ML Engineer to design, build, and deploy next-generation

Agentic AI systems

. In this role, you will move beyond straightforward prompt engineering to build autonomous, multi-agent workflows, stateful applications, and cognitive architectures. You will leverage

LangChain and

LangGraph to develop resilient AI agents capable of reasoning, planning, and executing complex tasks to solve real-world business problems.

Key Responsibilities

- Agentic Architecture:

Design and implement autonomous AI agents and multi-agent systems using

LangGraph for stateful, cyclic orchestration.

- LLM Application Development:

Build production-grade LLM applications, chains, and custom tools using

LangChain

.

- Advanced RAG:

Develop and optimize Advanced Retrieval-Augmented Generation (RAG) pipelines using vector databases and hybrid search techniques.

- Memory &
- State Management:

Implement complex memory systems (short-term, long-term, and conversational) to maintain context in multi-turn agent interactions.

- Evaluation &

- Guardrails:

Establish rigorous evaluation frameworks (using tools like TruLens, Ragas, or LangSmith)



and safety guardrails for agent behavior.

- Model Fine-Tuning &

- Selection:

Evaluate, select, and fine-tune open-source and proprietary LLMs (e.g., OpenAI, Anthropic, Llama) for specific agent tasks.

- API Integration:

Connect AI agents securely to internal databases, external APIs, and enterprise software systems.

- Production Deployment:

Deploy, monitor, and scale agentic workflows in cloud environments (AWS/GCP/Azure) using LLMOps best practices.

Required Technical Skills

- Core Languages:

Mastery of

Python and standard ML libraries (NumPy, Pandas, Scikit-learn).

- Frameworks:

Deep hands-on experience with

LangChain and

LangGraph

(essential).

- Generative AI:

Strong understanding of LLM architectures, prompt engineering, and agent patterns (ReAct, Plan-and-Solve, Reflection).

- Vector Databases:

Experience with vector stores like

Pinecone, Chroma, Milvus, or Qdrant

.

- Software Engineering:

Proficient with Git, Docker, and building RESTful APIs (FastAPI/Flask).

- Cloud &
- DevOps:

Familiarity with cloud platforms and basic CI/CD pipelines.

📌 AIML Engineer (Tamil Nadu)
🏢 Lorven Technologies
📍 Tamil Nadu