Senior Artificial Intelligence Engineer - Python/LLM

RIA Advisory; Maharashtra; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

RIA Advisory is seeking an experienced AI Developer to design and implement Agentic AI systems capable of autonomous decision-making. The candidate will optimize AI/ML models and develop AI-driven applications leveraging advanced techniques such as Retrieval-Augmented Generation.

The ideal candidate should have over 2 years of hands-on experience in AI application development, strong programming skills in Python, and a proven track record in mentoring teams. This role offers the opportunity to work within a dynamic environment in Maharashtra, India.

Qualifications

• 2+ years of hands-on experience in AI application development.
• Strong programming skills in Python with HTTP/REST API experience.
• Hands-on experience with AI agent frameworks.
• Experience in LLM integration and prompt engineering.
• Experience working with vector databases.

Responsibilities

• Design and implement Agentic AI systems.
• Build and optimize AI/ML models.
• Develop AI-driven applications using RAG.
• Integrate LLMs into enterprise applications.
• Monitor team performance and deliverables.

Skills

AI application development

Python programming

AI agent frameworks

LLM integration

Vector databases

Cloud platforms

ML/DL model development

Mentoring and coaching

Analytical and problem-solving skills

Job description

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), and 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.