IG India
Senior Java Engineer - AI Enablement

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Job Title
Senior Java Engineer - AI Enablement
Job Description
So, who are we?
Hello, we're IG Group. We are an FTSE250 FinTech company who run mobile, web and desktop platforms that help our clients trade stocks & shares, leveraged products, Futures & Options and Crypto.
We are ambitious. Over 340,000 people already use our platforms. We're global with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better product for our customers and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers.
We work in cross-functional teams and are laser focused on increasing the number of active clients we serve to drive sustainable growth.
Your team
Join IG Group's newly formed Service Modernisation & AI team as a pioneer of AI-first development practices in financial services. You'll modernise and simplify critical legacy services using cutting-edge AI tooling while demonstrating what's possible when AI is deeply integrated throughout the development lifecycle.
This is a hands-on engineering role focused on delivery. You'll ship modernised services in fast cycles while showing other engineers how AI transforms productivity and code quality.
Your role in the Team's Success
You will be part of a small team to start, 5-6 senior engineers and an embedded architect, and scale with contractors as needed based on the pipeline and opportunities. You will be hands-on in code using the latest in AI engineering practices.
What You'll Do
Service Modernisation (50%)
Modernise Legacy Services Using AI
Use AI to analyse codebases, understand dependencies, and extract clean APIs Work on high-impact legacy services that block divisional delivery speed Implement strangler fig patterns and other proven migration approaches Deliver modernised services with comprehensive tests, documentation, and multi-instance deployment capabilities
Ship Results Quickly
Complete service modernisations in fast cycles with monthly milestones Use AI to accelerate every phase: analysis, refactoring, testing, documentation Hand off modernised services to Platform Services or divisions with clear ownership Demonstrate measurable improvements: faster APIs, better performance, higher reliability
AI Implementation & Automation (50%)
Build AI-Powered Development Infrastructure
Implement Model Context Protocol (MCP) servers for service discovery, dependency mapping, and architecture compliance Create AI-assisted CI/CD pipelines with automated code review, security scanning, and test generation Build automation using Claude Code, GitHub Copilot, and LLM APIs Develop reusable AI tooling that other engineers can adopt
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Demonstrate AI-First Development
Use AI for all coding tasks: refactoring, test creation, documentation, debugging Achieve measurable and significant productivity improvements through AI integration Document patterns and share learnings through your work Train teams during service handoffs on AI-enabled workflows you've built Demonstrate when to use AI vs when human judgement is critical
Backend Engineering
8+ years software engineering with Java backend expertise Experience modernising production systems at scale Strong API design and microservices architecture knowledge Understanding of strangler fig patterns, service decomposition, and legacy migration strategies
AI/LLM Implementation (Critical Differentiator)
Hands-on experience building with Model Context Protocol (MCP) Demonstrated use of Claude Code, GitHub Copilot, or similar AI development tools in production work Experience implementing AI in CI/CD pipelines (code review, testing, security scanning) Built agentic AI solutions or AI-powered automation tools Understanding of prompt engineering, model selection, and LLM capabilities/limitations
Proven AI Impact
Achieved measurable productivity improvements using AI in development Implemented AI-assisted refactoring, test generation, or documentation at scale Experience with AI code analysis and automated remediation Track record of shipping production systems built with AI assistance
Culture & Leadership Style – What Matters Most
Delivery-focused: Ship working modernised services, don't just build tools Hands-on: Write code daily, don't just architect or advise Pragmatic: Use AI to go faster, not to be clever Teacher through doing: Others learn by seeing your PRs and shipped work Measurement-driven: Track your AI productivity gains and share data Collaborative: Work across divisions and time zones professionally
What You'll Need For This Role
Backend Engineering
8+ years software engineering with Java backend expertise Experience modernising production systems at scale Strong API design and microservices architecture knowledge Understanding of strangler fig patterns, service decomposition, and legacy migration strategies
AI/LLM Implementation (Critical Differentiator)
Hands-on experience building with Model Context Protocol (MCP) Demonstrated use of Claude Code, GitHub Copilot, or similar AI development tools in production work Experience implementing AI in CI/CD pipelines (code review, testing, security scanning) Built agentic AI solutions or AI-powered automation tools Understanding of prompt engineering, model selection, and LLM capabilities/limitations


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Proven AI Impact
Achieved measurable productivity improvements using AI in development Implemented AI-assisted refactoring, test generation, or documentation at scale Experience with AI code analysis and automated remediation Track record of shipping production systems built with AI assistance
How We Work
We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office -- which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction:
Lead and Inspire: Drives trust, alignment, and enthusiasm Think Big: Focus on the problems that most impact commercial outcomes Champion the client: Understand and prioritise client's needs Deliver at pace: Push for fast, sustainable growth; Raise the bar: Take ownership, be accountable and share feedback
We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We're committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that's why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here.
The Perks
Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work.
Competitive salary Flexible Benefits Package on top of your salary (12%) Private medical cover for you and your family Life insurance Contribution to gym memberships 25 Days holiday, with 1 additional day off to celebrate your Birthday & 2 additional days off a year for voluntary work (28 in total The option to buy or sell holiday days. Unlimited access to the LinkedIn Learning Platform A comprehensive global and local onboarding process Employee-led LGBTQ+, Women’s, Black and Parents & Carers networks with an annual budget for organising events & projects that foster an open, diverse and inclusive culture Enhanced primary (maternity), secondary (paternity), and shared parental pay and leave, as well as a range of support and benefits for parents Option to participate and create ESG initiatives based on IG Brighter Future Fund
Learn more about the Perks here!
Join us for this exciting journey. Apply now!
Number of openings
1
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