Senior AI Engineer

RIA Advisory LLC

Pune District

Remote

INR 1,400,000 - 2,200,000

Full time

17 hours ago
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Job summary

RIA Advisory LLC is seeking a skilled AI engineer to design and implement agentic AI systems capable of autonomous decision-making and task execution. You will build and optimize AI/ML models using LLMs, NLP, and RAG techniques, and integrate these into enterprise workflows.

The role requires 2+ years in AI application development, strong Python skills, and experience with LangChain/LangGraph, vector DBs, and cloud platforms (AWS/Azure/GCP).

Qualifications

  • 2+ years of hands-on experience in AI application development including agentic AI systems, RAG, and tools/LLM-based applications.

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 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.

Skills

Agentic AI systems
RAG (Retrieval-Augmented Generation)
Python
HTTP/REST APIs
LangChain
LangGraph
LLM integration
Prompt engineering
Vector databases
Qdrant
Chroma
Knowledge Graphs
Neo4j
Cloud platforms
AWS
Azure
GCP
ML/DL model development

Education

Bachelor’s degree in computer science / computer engineering / IT / Data Science

Tools

LangChain
LangGraph
Qdrant
Chroma
Neo4j
AWS
Azure
GCP

Job description

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

  • Qualification: Bachelor’s degree in computer science, computer engineering, IT, Data Science
  • Location: Pune or Remote India only
  • 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.
  • 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.
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