AI Engineer

Version 1

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profile Job Location:

Mumbai - India

profile Monthly Salary: Not Disclosed
Posted on: 2 hours ago
Vacancies: 1 Vacancy

Job Summary

Role Overview

As an AI Engineer focused on Generative and Agentic AI you will design build deploy and operate production-ready AI systems taking ideas from early prototypes through to reliable enterprise-grade solutions. You will work hands-on with real customer and internal use cases owning the full lifecycle from design and orchestration to deployment monitoring and continuous improvement.

The role emphasizes building intelligent systems that can reason plan use tools and make decisions rather than standalone models or simple chatbots. You will apply modern Generative AI techniques and strong software engineering practices to deliver real-world AI outcomes on a scale.

Key Responsibilities

  • Experience needed 5-7 years
  • Generative & Agentic AI Development
  • Design and build LLM-based systems using:
  • o Retrieval Augmented Generation (RAG)
  • o Embeddings and vector search
  • o Prompt engineering and prompt optimization
  • o Function calling and tool usage
  • o Agentic and multi-agent workflows
  • Develop AI systems that integrate LLMs with REST APIs enterprise systems data platforms and workflows
  • Apply LLM evaluation techniques to assess quality reliability safety and performance
  • End-to-End AI Engineering
  • Own the full lifecycle of AI solutionsfrom prototype to production
  • Build deploy and operate AI workloads in AWS environments
  • Ensure production readiness with focus on scalability reliability performance security and cost optimization
  • Implement CI/CD pipelines automated testing and versioning for AI systems
  • Engineering Excellence & Operations
  • 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
  • Collaboration & Enablement
  • Work closely with other 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

Qualifications :

Mandatory Technical Skills

  • Programming & Engineering
  • Python
  • REST APIs
  • CI/CD pipelines
  • Automated testing
  • Distributed systems fundamentals
  • Generative & Agentic AI
  • Generative AI concepts
  • LLM-based systems
  • Agentic and multi-agent workflows
  • Retrieval Augmented Generation (RAG)
  • Embeddings and vector databases
  • Prompt engineering
  • LLM evaluation
  • Cloud & AI Platforms
  • AWS Bedrock
  • Amazon SageMaker
  • Production & Operations
  • Observability (logs metrics tracing alerts)
  • Monitoring and performance tuning

    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

Additional Information :

Why Version 1

 At Version 1 we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing professional growth and financial stability.

  • Share in our success with our Quarterly Performance-Related Profit Share Scheme where employees collectively benefit from a share of our companys profits
  • Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme
  • Flexible/remote working Version 1 is tremendously understanding of life events and peoples individual circumstances and offer flexibility to help achieve a healthy work life balance
  • Financial Wellbeing initiatives including; Pension Private Healthcare Cover Life Assurance Financial advice and an Employee Discount scheme
  • Employee Wellbeing schemes including Gym Discounts Bike to Work Fitness classes Mindfulness Workshops Employee Assistance Programme and much more. Generous holiday allowance enhanced maternity/paternity leave marriage/civil partnership leave and special leave policies
  • Educational assistance incentivised certifications and accreditations including AWS Microsoft Oracle and Red Hat
  • Reward schemes including Version 1s Annual Excellence Awards & Call-Out platform.
  • Environment Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity inclusion and belonging schemes.

And many more exciting benefits drop us a note to find out more.

 

Version 1 is an equal opportunities employer.
 
We are committed to building a diverse inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds identities and lived experiences and we value the different perspectives people bring.
 
We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process please contact recruiter email addressEM1  at Version 1. We will consider all requests carefully respectfully and confidentially.

 

Video links:

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Remote Work :

No


Employment Type :

Full-time

Role OverviewAs an AI Engineer focused on Generative and Agentic AI you will design build deploy and operate production-ready AI systems taking ideas from early prototypes through to reliable enterprise-grade solutions. You will work hands-on with real customer and internal use cases owning the full...
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Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re a ... View more

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