Software Engineer (Gen AI Full Stack) Needed at I Net Software Solutions, London (Apply Now)

If you have been building with large language models and want to work somewhere that puts generative AI at the centre of its product, not as an afterthought, this London-based role is worth a serious look. I Net Software Solutions is hiring a full-stack engineer to work directly on AI-driven business applications, including agentic workflows, RAG pipelines and LLM integrations. This is not a role where AI is a buzzword on a job description. The work is genuinely technical and hands-on.

The salary sits between £55,000 and £58,000 per year, which is a competitive band for this type of specialist role in London, particularly for engineers who are still building their Gen AI track record in a professional setting. What makes this listing especially notable for international candidates is the confirmed visa sponsorship. The employer is a licensed sponsor and the listing makes this explicit, which removes the uncertainty that many overseas applicants face when searching for tech roles in the UK.

The role spans both the engineering and AI integration sides of product development. You would be working alongside Gen AI scientists and UX designers to ship enterprise-grade solutions, which means your work has direct visibility and real business impact from day one.

Job Overview

What You Would Actually Be Doing

• Building full-stack AI applications: You will design and develop scalable applications that incorporate AI agents and agentic workflows, not just call an API and wrap it in a UI.
• Writing Python microservices for LLM orchestration: The backend work involves building the plumbing that connects large language models to enterprise systems, handling integration, routing and reliability at scale.
• Developing RAG pipelines: Retrieval-Augmented Generation is a core part of the product architecture here. You will build and maintain these pipelines rather than simply consuming off-the-shelf solutions.
• Collaborating with AI scientists and designers: This is a cross-functional environment. Expect regular interaction with Gen AI researchers and UX teams to shape what gets built and how it reaches end users.
• Building and maintaining RESTful APIs: You will be responsible for the interfaces that allow different parts of the system to communicate cleanly and reliably.
• Integrating with enterprise systems: Connecting AI solutions to existing business infrastructure via standardised APIs is a significant part of the scope, which means understanding enterprise architecture as well as AI tooling.
• Setting up evaluation and governance frameworks: You will help establish the guardrails that keep AI outputs safe, accurate and compliant with governance standards. This is increasingly important work as AI deployment matures.
• Working on cloud infrastructure: Deployment and integration will involve one or more of AWS, GCP or Azure, so familiarity with cloud environments is part of the day-to-day reality.

Who They Are Looking For

Must-haves:

• Strong experience in Python and microservices architecture
• Hands-on experience with Gen AI technologies including LLMs, RAG and AI agents in a professional context
• Full-stack development experience using React, Node.js or a similar modern stack
• Solid understanding of REST APIs and system integration patterns
• Familiarity with at least one major cloud platform (AWS, GCP or Azure)
• Experience integrating and deploying AI and machine learning models
• Knowledge of scalable system design and performance optimisation principles

Nice-to-haves:

• Experience with multi-modal AI applications
• Background in enterprise software environments
• Exposure to AI governance, bias mitigation or safety frameworks
• Experience working alongside data science or ML research teams

If you meet most of the essentials but are not across every item on the list, it is still worth applying. Employers in the Gen AI space are often more interested in your approach to learning and your practical project experience than in a perfect match on paper.

What Most Applicants Get Wrong

1. Listing AI tools rather than demonstrating AI outcomes

Many engineers applying for Gen AI roles pad their CVs with tool names: LangChain, OpenAI, HuggingFace, vector databases. What hiring managers actually want to see is what you built, how it performed, and what problem it solved. Tool familiarity is table stakes. Outcomes are what differentiate candidates.

1. Ignoring the governance and safety angle in their application

This listing explicitly mentions AI governance, bias mitigation and safety standards as part of the role. Most applicants skip over this entirely and focus only on the coding side. If you have any experience with responsible AI practices, evaluation frameworks or guardrail design, make it visible in your cover letter and application. It signals maturity that many candidates lack.

1. Underestimating the cross-functional communication element at interview

Because this role involves working with Gen AI scientists, UX designers and data teams, interviewers are likely to test your ability to communicate across disciplines. Candidates who prepare only for technical questions and have no examples of collaborative, cross-functional project delivery tend to fall short at the final stages.

How to Apply (and Actually Get Noticed)

1. Read the job listing carefully in full before you do anything else. Note the job reference INET/SE/Apr26, which you should include in your application to confirm you have read the listing properly.
2. Visit the official application portal at findajob.dwp.gov.uk. You will need to sign in or create an account to submit your application.
3. Tailor your CV to this specific role before uploading. Highlight your Python experience, your Gen AI project work and any cloud platform deployments you have led or contributed to. Generic CVs perform poorly here.
4. Write a cover letter even if it is not explicitly required. A short, focused letter that addresses why you are interested in building enterprise AI products and what you bring to the governance and integration side of the role will immediately separate you from applicants who submit a CV alone.
5. Include concrete examples of AI systems you have built. Whether in a professional role, a side project or open-source work, be specific about what the system did, what technologies you used and what the result was.
6. Submit well before the 29 May 2026 closing date. Roles with visa sponsorship attract high volumes of applications and some employers begin shortlisting before the deadline closes.
7. Confirm your right to work status or sponsorship need clearly in your application. Do not leave this ambiguous. If you require sponsorship, state it directly. The employer has already indicated they welcome sponsored candidates.
8. Follow up if you do not hear back within two weeks of submitting. A brief, professional email to the employer referencing your application date and job reference number is entirely appropriate.

Visa and Eligibility

Visa sponsorship is confirmed for this role. I Net Software Solutions is a licensed Skilled Worker sponsor and has explicitly listed UK visa sponsorship as a benefit of the position. This means international candidates who do not currently have the right to work in the UK can apply and be considered on the same basis as domestic applicants.

To be eligible for a Skilled Worker visa, you will generally need to meet a salary threshold (this role comfortably exceeds it), have a confirmed job offer from a licensed sponsor, and meet the points requirements set by the Home Office. For full and up-to-date guidance on the Skilled Worker visa route, visit the official UK Visas and Immigration guidance at gov.uk/skilled-worker-visa.

Note that from April 2017, overseas applicants have been required to provide a criminal record certificate from any country in which they have lived for 12 months or more in the past 10 years. Begin gathering this documentation early if it applies to you.

Frequently Asked Questions

Here are answers to the most common questions people ask about this Software Engineer Gen AI role at I Net Software Solutions, including eligibility, interview format, visa requirements and what to expect from the application process.

Is visa sponsorship genuinely available for this software engineering role in London?

Yes, visa sponsorship is confirmed. The listing explicitly lists UK visa sponsorship as a benefit, which indicates that I Net Software Solutions holds a Skilled Worker sponsor licence and is actively willing to sponsor the right candidate. This is not a speculative or conditional offer.

What level of Gen AI experience is required for this position?

The listing requires hands-on experience with Gen AI technologies including large language models, RAG pipelines and AI agents in a professional or demonstrable project context. This is not a role for someone who has only done tutorials. You need to have built and shipped something using these technologies.

Is this role suitable for someone moving from a traditional full-stack background into AI?

It can be, provided you have already begun working with Gen AI tools in a practical setting. The role requires both full-stack and AI integration skills. If your full-stack experience is strong and you have built personal or open-source projects using LLMs or RAG, you are worth applying. A purely traditional full-stack background with no AI exposure is unlikely to be competitive.

What cloud platforms does I Net Software Solutions use?

The listing mentions AWS, GCP and Azure as the cloud environments relevant to this role. Familiarity with at least one of these is listed as a requirement. The listing does not specify which platform the company primarily uses, so it is reasonable to ask about this at interview.

How long does the UK Skilled Worker visa application process take?

Processing times vary depending on your location and the volume of applications at the time, but standard processing typically takes around three weeks. Priority processing is available in many countries and can reduce this to around five working days. You can check current processing times on the UK Visas and Immigration website before applying.

What does the interview process look like for a Gen AI engineering role at this level?

The listing does not specify the interview format. However, roles of this type typically involve a technical screening call, a coding or take-home assessment focused on Python and API design, and a final interview that includes system design and cross-functional collaboration scenarios. Preparing for all three stages is advisable.

Is this a remote, hybrid or fully on-site role?

The listing does not specify working arrangements beyond the London location. On-site parking is listed as a benefit, which suggests at least some in-person presence is expected. Clarifying the working model before or during the interview process is recommended.

What is the application reference number for this role?

The job reference is INET/SE/Apr26. Include this in your application to ensure your submission is correctly tracked by the employer.

Official Application Link

Apply directly for the Software Engineer Gen AI Full Stack position at I Net Software Solutions via the Find a Job portal. The closing date is 29 May 2026.

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