Principal Software Development Engineer - AI/ML Solutions

RIA Advisory; Maharashtra; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

RIA Advisory seeks a Principal Software Development Engineer AI (SDE IV) to spearhead the design and delivery of enterprise-grade AI solutions in Maharashtra, India. The ideal candidate must have profound knowledge in Agentic AI and LLMs, coupled with extensive experience managing technical teams.

This position combines hands-on technical leadership with the responsibility of leading the AI Center of Excellence, ensuring that AI solutions align with business objectives and industry standards.

Qualifications

• 6+ years of software development experience, including 5+ years in AI/ML solution design.
• Proven experience leading AI engineering teams.
• Strong understanding of MLOps and AI lifecycle management.

Responsibilities

• Lead the design, development, and deployment of AI solutions.
• Define and execute the technical roadmap for the AI Center of Excellence.
• Architect and implement LLM-powered applications.
• Mentor AI engineers and perform architecture reviews.
• Evaluate emerging AI technologies and recommend enhancements.

Skills

Agentic AI expertise

Large Language Models (LLMs)

MLOps

Python programming

AI/ML frameworks (PyTorch, TensorFlow)

Technical leadership

Stakeholder management

Model deployment and monitoring

Education

Bachelor's degree in Computer Science or Engineering

Tools

AWS

Azure

GCP

Hugging Face

TensorFlow

PyTorch

Job description

We are looking for an experienced Principal Software Development Engineer AI (SDE IV) to lead the design, development, and delivery of enterprise‑grade AI solutions.

The ideal candidate will have deep expertise in Agentic AI, Large Language Models (LLMs), and MLOps, along with a strong track record of leading technical teams and delivering AI‑driven products from concept to production.

This role combines hands‑on technical leadership with responsibility for driving the organization's AI Center of Excellence (CoE).

Key Responsibilities

• Lead the design, development, and deployment of scalable AI/ML solutions and enterprise‑grade Agentic AI applications.
• Define and execute the technical roadmap for the AI Center of Excellence, aligning AI initiatives with business objectives.
• Architect and implement LLM‑powered applications, AI agents, RAG pipelines, and orchestration frameworks.
• Build and optimize ML/DL models, including training, fine‑tuning, evaluation, and production deployment.
• Establish MLOps best practices for model versioning, deployment, monitoring, governance, and lifecycle management.
• Lead rapid prototyping, proof‑of‑concepts (PoCs), and pilot implementations for emerging AI use cases.
• Provide technical leadership, mentor AI engineers, and conduct architecture and code reviews.
• Collaborate with product, engineering, and business stakeholders to translate requirements into scalable AI solutions.
• Ensure AI solutions meet performance, reliability, security, and scalability standards.
• Evaluate emerging AI technologies and recommend innovative approaches to enhance enterprise AI capabilities.

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 6+ years of overall software development experience, including 5+ years of hands‑on experience in AI/ML solution design and development.
• Proven experience leading AI engineering teams and managing multiple technical projects.
• Strong expertise in Agentic AI architectures, LLMs, RAG, prompt engineering, and AI orchestration frameworks such as LangGraph, LangChain, or similar.
• Hands‑on experience with Python and AI/ML frameworks including PyTorch, TensorFlow, and Hugging Face.
• Strong understanding of MLOps, model deployment, monitoring, experiment tracking, and AI lifecycle management.
• Experience developing and deploying AI solutions on AWS, Azure, or GCP.
• Knowledge of vector databases, embeddings, and enterprise AI integration patterns is preferred.
• Excellent problem‑solving, communication, stakeholder management, and technical leadership skills.