Senior AI Engineer

RIA Advisory LLC.; Pune District; Hybrid; INR 1,500,000 - 2,500,000; Full time

Job summary

RIA Advisory LLC. is seeking an experienced AI Developer based in Pune or Remote India. You will design and implement Agentic AI systems, optimize AI/ML models, and provide leadership and mentorship to a team focused on cutting-edge AI applications. The ideal candidate will have a Bachelor's degree in a relevant field and significant experience with both LLMs and team performance management. This role offers a unique opportunity to impact the development of innovative AI technologies.

Qualifications

• 6–10 years of experience in AI application development.
• 2+ years of hands-on experience in developing Agentic AI systems.
• Proven experience in mentoring and leading engineering teams.

Responsibilities

• Design, develop, and implement Agentic AI systems for autonomous decision-making.
• Build and optimize AI/ML models leveraging LLMs, NLP, and advanced techniques.
• Develop AI-driven applications using RAG and agent-based frameworks.
• Provide technical leadership and mentorship to team members.
• Monitor team performance and ensure adherence to timelines.

Skills

Agentic AI systems

Python

RAG (Retrieval-Augmented Generation)

AI agent frameworks (LangChain, LangGraph)

HTTP/REST APIs

ML/DL model development

Cloud platforms (AWS, Azure, GCP)

Vector databases (Qdrant, Chroma)

Knowledge Graphs (Neo4j)

Education

Bachelor’s degree in computer science, engineering, IT, or Data Science

Job description

Profile Requirements

• Experience: 6–10 years
• Qualification: Bachelor’s 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.