Lead Software Platform Engineer

V2 Solutions; Pune District; Hybrid; INR 300,000 - 520,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

V2 Solutions in Pune, Maharashtra, is seeking a Senior AI Engineer to design and implement production-grade AI use cases on an enterprise AI platform. The role requires strong applied AI expertise and leadership to mentor peers while delivering scalable AI solutions.

You will collaborate with platform and product teams, translate requirements into effective AI solutions, and ensure quality and governance across deployments. Hybrid work setup and relocation assistance are available.

Qualifications

• Bachelor's degree in computer science, Engineering, Finance/Accounts, or related discipline.
• 10-12 years of hands-on AI Engineering experience.

Responsibilities

• Design and implement scalable, production-grade AI/ML use cases using an enterprise AI platform, following architectural standards and best practices.
• Collaborate with product, architecture, and business teams to translate requirements into effective AI solutions.
• Provide engineering support through design guidance, reference architecture, and technical reviews.
• Work closely with the core AI platform team to ensure optimal platform adoption and provide feedback for platform enhancements.
• Contribute to platform evolution by identifying gaps, improvements, and emerging AI, GenAI, and MLOps requirements.
• Ensure quality, reliability, observability, and responsible AI compliance across deployed solutions.
• Mentor junior engineers and promote strong engineering practices, including code quality, testing, documentation, and knowledge sharing.

Skills

C#/.NET

Python

LLMs

Azure OpenAI

RAG architecture

Microservices

REST APIs

Vector search

Document processing

Cloud-native development

Mentorship

Education

Bachelor's degree in CS/Engineering/related

Tools

Azure AI Services

Azure AI Studio

Prompt Flow

Job description

Location Pune, Maharashtra Working Schedule Full-Time Work Arrangement Hybrid Relocation Assistance Available

No Position Summary

Seeking a Senior AI Engineer to design and implement production-grade AI use cases using an enterprise AI platform. This role requires strong applied AI expertise, close collaboration with platform and product teams, and the ability to provide technical leadership and mentorship while delivering scalable, business-impacting AI solutions.

Job Responsibilities

• Design and implement scalable, production-grade AI/ML use cases using an enterprise AI platform, following architectural standards and best practices.
• Collaborate with product, architecture, and business teams to translate requirements into effective AI solutions.
• Provide engineering support through design guidance, reference architecture, and technical reviews.
• Work closely with the core AI platform team to ensure optimal platform adoption and provide feedback for platform enhancements.
• Contribute to platform evolution by identifying gaps, improvements, and emerging AI, GenAI, and MLOps requirements.
• Ensure quality, reliability, observability, and responsible AI compliance across deployed solutions.
• Mentor junior engineers and promote strong engineering practices, including code quality, testing, documentation, and knowledge sharing.

Education

Bachelor's degree in computer science, Engineering, Finance/Accounts, or related discipline

Experience

10 12 years of strong Handson experience in AI Engineering

Knowledge and skills (general and technical)

• Strong software engineering in .NET Core / C# and Python
• Applied experience with LLMs, Azure OpenAI, and RAG architecture
• Hands-on expertise with Azure AI services and cloud-native development
• Proficiency in microservices, REST APIs, and scalable system design
• Experience with vector search, document processing, and AI solution deployment

Other Requirements Good to have skills:

• Experience with Azure AI Studio / Prompt Flow and advanced AI orchestration
• Exposure to multi modal AI, advanced NLP, and AI security/governance
• Familiarity with monitoring, resilience, and cost optimization for production AI systems