Version 1 is seeking an AI Engineer focused on Generative and Agentic AI to design, build, deploy, and operate production-ready AI systems from prototype to enterprise-grade solutions.

Company: Version 1

Role: AI Engineer

Location: Mumbai, Maharashtra, India (Hybrid: 3 days in office per week)

Experience:

5-7 years
Experience in Financial Services (FS)

Key Skills:

Generative AI
Agentic AI
Large Language Models (LLM)
Retrieval Augmented Generation (RAG)
Embeddings
Vector search
Prompt engineering
Function calling
Multi-agent workflows
Python
REST APIs
CI/CD pipelines
Automated testing
Distributed systems fundamentals
AWS Bedrock
Amazon SageMaker
Observability (logs, metrics, tracing, alerts)
Monitoring and performance tuning

Role Focus:

Design and build LLM-based AI systems using RAG, embeddings, prompt engineering, function calling, and agentic workflows
Develop AI systems integrating LLMs with REST APIs, enterprise systems, data platforms, and workflows
Apply LLM evaluation techniques for quality, reliability, safety, and performance
Own full lifecycle of AI solutions from prototype to production
Build, deploy, and operate AI workloads in AWS environments
Ensure production readiness focusing on scalability, reliability, performance, security, and cost optimization
Implement CI/CD pipelines, automated testing, and versioning for AI systems
Apply strong software engineering and distributed systems principles to AI development
Implement observability practices including logs, metrics, traces, and alerts
Monitor model behavior, system health, latency, and failures in production
Contribute to responsible AI practices, governance, and quality standards
Collaborate with AI engineers, data scientists, platform teams, and business stakeholders
Contribute to building and scaling AI platforms and reusable components
Support low-code / Copilot / Flow-style solutions where appropriate
Share knowledge and mentor junior engineers on Generative and Agentic AI best practices

Nice to have:

Experience supporting enterprise AI platforms or shared AI services
Exposure to Copilot-style or workflow automation solutions
Familiarity with Responsible AI principles and governance
Experience working with cross-functional or client-facing teams

Other:

Hybrid working model with 3 days in office per week
Quarterly Performance-Related Profit Share Scheme
Strong career progression and mentorship coaching
Flexible and remote working options
Financial wellbeing initiatives including pension, private healthcare, life assurance, financial advice, and employee discount scheme
Employee wellbeing schemes including gym discounts, bike to work, fitness classes, mindfulness workshops, employee assistance programme
Generous holiday allowance and enhanced parental leave policies
Educational assistance and incentivised certifications including AWS, Microsoft, Oracle, and Red Hat
Reward schemes including Annual Excellence Awards and Call-Out platform
Environment, social and community initiatives promoting diversity, inclusion, and belonging
Committed to equal opportunities and a diverse, inclusive, respectful workplace

AI Engineer

Skills Required

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Key Skills:

Role Focus:

Nice to have:

Other:

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