AI Engineer at Version 1 Cedar

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

0.0

Posted On

17 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Generative AI, Agentic AI, LLM, RAG, Prompt engineering, AWS Bedrock, Amazon SageMaker, CI/CD pipelines, REST APIs, Distributed systems, Vector databases, Observability, Automated testing, Function calling, Multi-agent workflows

Industry

IT Services and IT Consulting

Description

Company Description Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of what we do: UK & Ireland's premier AWS, Microsoft & Oracle partner 3300+ strong, €350/£300m revenue business 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW Best Workplace for Wellbeing in the UK by GPTW We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you. Job Description 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 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 solutions—from 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 company's 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 people’s 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 1’s 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 address][EM1] at Version 1. We will consider all requests carefully, respectfully and confidentially. Video links: https://www.youtube.com/watch?v=F_d3ELTH5zo [EM1]Please add the email address for the lead recruiter Department: Digital, Data and Cloud

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Responsibilities

Design, build, and deploy production-ready Generative and Agentic AI systems from prototype to enterprise-grade solutions. Manage the full lifecycle of AI workloads including orchestration, monitoring, and continuous improvement within AWS environments.