Senior AI ML Developer

About the role

**Position Type:** Full\-Time, Permanent (FTE)

**Experience:** 5 – 8 Years

**Location:** Chennai, India

**Work Mode:** Work from Office

**Joining:** Immediate Joiner Preferred

**POSITION OVERVIEW**

We are seeking a highly skilled and forward\-thinking Senior AI \& Machine Learning Engineer for our client to join there core engineering unit in Chennai. In this permanent, full\-time role, you will lead the architecture, design, and deployment of production\-grade AI applications, with a heavy emphasis on Large Language Models (LLMs) and advanced Agentic AI frameworks.

The ideal candidate possesses deep technical expertise in traditional machine learning pipelines along with extensive practical experience building autonomous, multi\-agent workflows capable of complex planning, reasoning, and tool utilization. As a permanent office\-based team member, you will collaborate closely with cross\-functional software architects and product owners to integrate intelligence directly into enterprise systems.

**KEY RESPONSIBILITIES**

Agentic System Architecture: Design, build, and optimize robust autonomous AI agents and multi\-agent systems utilizing frameworks like LangGraph, AutoGen, or CrewAI to execute sophisticated workflows.

LLM Customization \& Engineering: Select, fine\-tune, prompt\-engineer, and deploy state\-of\-the\-art open\-source and proprietary Large Language Models (LLMs) specialized for complex reasoning and workflow tasks.

ML Pipeline Development: Build, scale, and maintain end\-to\-end Machine Learning pipelines, including data pre\-processing, feature engineering, model training, validation, and real\-time inference serving.

Retrieval\-Augmented Generation (RAG): Architect and fine\-tune scalable RAG architectures integrated with vector databases to provide contextually accurate knowledge injection for production agents.

Performance Optimization: Monitor, evaluate, and optimize the execution latency, cost, and accuracy of AI agents and foundational models in production environments.

On\-Site Collaboration: Drive cross\-functional engineering excellence within the office workspace, mentoring junior developers and establishing technical best practices for reproducible AI codebases.

**REQUIRED QUALIFICATIONS \& SKILLS**

Experience: 5 to 8 years of professional experience delivering machine learning software and production systems.

Core AI/ML Expertise: Deep comprehension of machine learning theory, neural network architectures, NLP techniques, and data structures.

Agentic AI Experience: Demonstrated hands\-on experience designing production\-grade autonomous AI agents that handle multi\-step planning, tool invocation, reflection, and state management.

LLM Ecosystem: Expert proficiency in prompt engineering frameworks, fine\-tuning libraries, and orchestration toolkits (e.g., LangChain, LlamaIndex).

Technical Stack: Exceptional programming skills in Python alongside standard ML libraries (PyTorch, TensorFlow, Scikit\-Learn, Hugging Face, Pandas).

Data Infrastructure: Practical experience with vector stores (such as Pinecone, Milvus, Qdrant, or Chroma) and relational/non\-relational database management.

**Education:**

Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related quantitative field.

**PREFERRED ATTRIBUTES**

Strong publication record or active public open\-source contributions to LLM/Agentic tooling frameworks.

Experience deploying containerized workloads using Docker and Kubernetes within cloud\-native

infrastructures (AWS, GCP, or Azure).

Ability to join immediately or within a short notice period.

Pay: Up to ₹1,800,000\.00 per year

Work Location: In person