Senior AI Engineer - Agentic AI System

RIA Advisory; Maharashtra; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

RIA Advisory in Pune or remote India only is seeking an experienced AI engineering lead to design, develop and deploy Agentic AI systems with autonomous capabilities. You will build AI/ML models, integrate LLMs, and guide cross-functional teams.

The ideal candidate has 2+ years in AI application development with hands-on experience in LangChain, vector databases, cloud platforms, and prompt engineering. This role emphasizes delivery leadership, governance, and mentoring to drive project success.

Qualifications

• Bachelor's degree in computer science, computer engineering, IT, or Data Science.

Responsibilities

• Design, develop, and implement Agentic AI systems capable of autonomous decision-making and task execution.

Skills

Agentic AI

RAG

Python & REST

LangChain

LLM integration

Vector databases

Neo4j

Cloud platforms

ML/DL models

Delivery management

Mentoring

Communication

Problem solving

Education

Bachelors degree in computer science, computer engineering, IT, Data Science

Tools

LangChain

LangGraph

Qdrant

Chroma

AWS

Azure

GCP

Job description

Qualification

Bachelors degree in computer science, computer engineering, IT, Data Science

Location

Pune or Remote India only

Key Responsibilities

• Design, develop, and implement Agentic AI systems capable of autonomous decision-making and task execution.
• Build and optimize AI/ML models leveraging LLMs, NLP, and advanced AI techniques.
• Develop AI-driven applications using RAG (Retrieval-Augmented Generation) and agent-based frameworks.
• Integrate LLMs into enterprise applications and workflows.
• Monitor team performance, track deliverables, and ensure adherence to timelines and quality standards.
• Provide technical leadership, guidance, and hands‑on support to team members.
• Conduct regular team coaching and mentoring sessions to enhance team capability and performance.
• Collaborate with cross‑functional teams including Product, Engineering, and Business stakeholders.
• Drive best practices in AI development, model lifecycle management, and governance.
• Identify risks, troubleshoot technical challenges, and ensure smooth project execution.

Required Skills & Qualifications

• 2+ years of hands-on experience in AI application development, including :
• Agentic AI systems
• RAG (Retrieval-Augmented Generation)
• Tools & LLM-based applications
• Strong programming skills in Python with experience in HTTP/REST APIs.
• Hands‑on experience with AI agent frameworks such as LangChain, LangGraph, or similar.
• Experience in LLM integration and prompt engineering.
• Experience working with vector databases such as Qdrant, Chroma.
• Exposure to Knowledge Graphs (e.g., Neo4j).
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong experience in ML/DL model development, including training, fine‑tuning, and evaluation.
• Proven experience in team monitoring, performance tracking, and delivery management.
• Demonstrated ability in mentoring, coaching, and leading engineering teams.
• Strong analytical, problem-solving, and communication skills

(ref:hirist.tech)