Version 1
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Mumbai · Hybrid · 7-10 Yrs · 1 day ago
Information Technology Support Services · 1001 to 5000 Employees · Dublin, Ireland
Version 1 is a global leader in AI and digital transformation, founded in Ireland in 1996. With over 4000 employees globally and revenues exceeding €400 million, we are an award-winning partner to technology leaders such as Microsoft, AWS, Oracle, Anthropic and many others. In the India, we are established across Bangalore and Pune where we are delivering for major private sector organisations. Our vision is to be the catalyst for a better world where technology complements innovation to solve the most complex challenges facing society. Join us to work on high-impact, AI-led transformation and to experience real support for your personal and professional development through structured learning, strong leadership and a company that invests in your success.
Hiring: Engineering
What employees say
+ None since last two years- can see the downgrade since last 7 years; From India's No1 Great place to work to now one of the worse places to work
− USED to be great place to work, most of nice and approachable management either resigned or got terminated, same for employees, no opportunities to grow, managers have started to m
More reviews on the company profile.
Interview experience · Data Analyst
The interview process was for an internal Business Support team, so the focus was more on problem-solving, communication, and practical data analysis than on difficult coding questions. The process began with a take-hom
Easy difficulty · Bengaluru · 24 reports
More interview insightsJob description
Overview
Company Description
Responsibilities
- UK and Ireland’s premier AWS, Microsoft and Oracle partner
- 3,300+ employees and a €350m/£300m revenue business
- Recognised as a Great Place to Work in Ireland and the UK for over 10 years
- Named a Best Workplace for Women in the UK and Ireland by Great Place to Work
- Named a Best Workplace for Wellbeing in the UK by Great Place to Work
- Build production AI services rather than isolated proofs of concept.
- Solve genuine challenges across trading, risk and portfolio management.
- Own backend services from design and data modelling through to production operation.
- Work with Python, AWS, LLMs, RAG, embeddings and real-time data.
- Influence architecture, reliability and measurable business outcomes.
- Collaborate directly with senior US-based product and engineering teams.
- Design, build and maintain Python backend services and REST APIs that power Financial Services products.
- Design data models and work with relational and other data stores based on the needs of each product.
- Integrate backend services with an established AI platform using Amazon Bedrock, AgentCore and SageMaker-based APIs.
- Build application features using LLMs, RAG, embeddings, prompt engineering and function calling.
- Apply distributed systems and software engineering principles to build secure, scalable and maintainable services.
- Write automated tests and maintain CI/CD pipelines for reliable, repeatable deployments.
- Diagnose and resolve production issues involving latency, reliability, performance and data quality.
- Implement observability across logs, metrics, tracing and alerts, with a focus on operational health and cost efficiency.
- Contribute across data pipelines, infrastructure and frontend touchpoints where needed to deliver features end to end.
- Partner with product, business, full-stack, data and AI platform teams, and share backend and AI-integration best practices.
Qualifications
- 7+ years of professional software engineering experience, including ownership of production-grade backend services.
- Strong hands-on Python experience and a solid understanding of software engineering and distributed systems fundamentals.
- Hands-on experience with AWS or a comparable cloud platform, including building and operating production applications.
- Working knowledge of generative AI and LLM concepts, including RAG, embeddings, prompt engineering and function calling.
- A genuine interest in trading, investment management, digital assets and cryptocurrency.
- Confidence communicating technical recommendations and trade-offs to engineering and business stakeholders.
- Capital markets, trading, risk or portfolio management platforms.
- Digital assets, cryptocurrency, blockchain or tokenisation.
- Amazon Bedrock, SageMaker, AgentCore or comparable AI services.
- Vector databases such as pgvector and AI-powered search or retrieval.
- Databricks, Jenkins or real-time data pipelines.
- Evaluating AI features for accuracy, latency, hallucination handling and graceful degradation.
- Awareness of regulatory and compliance considerations in Financial Services technology.
- Technical leadership or mentoring across engineering teams.
- Quarterly performance-related profit share, enabling employees to share in our success.
- Structured career progression, mentoring and regular development conversations through our Pathways programme.
- Flexible and hybrid working support, aligned with the needs of the role and client.
Education
- Opportunities to develop expertise across AWS and other leading technologies.
- Employee recognition through our Annual Excellence Awards and Call-Out platform.
- Health, wellbeing and financial support, alongside community and inclusion initiatives.
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Job application FAQ
Last updated 22 September 2026
- How do I apply for Senior AI Backend Engineer at Version 1?
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- Is Senior AI Backend Engineer remote or on-site in Mumbai, Maharashtra?
- This listing is marked hybrid with location Mumbai, Maharashtra. Confirm details on the job description before applying.
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- This is a senior Senior AI Backend Engineer role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.