Netrolynx AI
AI Software Engineer

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About The Company
Apache Associates is a leading recruitment consultancy specializing in connecting talented professionals with innovative organizations across various industries. Our client portfolio includes some of the most forward-thinking technology companies that are pushing the boundaries of digital transformation. With a commitment to excellence and a focus on fostering long-term relationships, Apache Associates prides itself on understanding the unique needs of both clients and candidates, ensuring the right match for mutual growth and success. Our client, in particular, is an innovative SaaS organization that is heavily investing in artificial intelligence to enhance its product offerings and deliver cutting-edge solutions to its global customer base.
About The Role
We are seeking a talented AI Software Engineer with strong expertise in C#.NET to join our client’s dynamic team. This role offers an exciting opportunity to be at the forefront of AI integration within established software products. The successful candidate will be responsible for transforming emerging AI capabilities into robust, production-ready features that directly impact the company's product suite. You will work closely with cross-functional teams including product managers, engineers, and subject matter experts to design, develop, and deploy AI-powered functionalities that are reliable, efficient, and scalable.
This position is ideal for a developer who combines solid software engineering fundamentals with practical experience in large language models (LLMs) and prompt engineering. Your work will involve taking AI concepts from initial experimentation to seamless integration, ensuring that each feature meets standards for accuracy, safety, and performance. The role provides an excellent platform for engineers passionate about making AI a core part of enterprise solutions, with a focus on rapid iteration and real-world impact.
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.
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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.
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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.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Qualifications
The ideal candidate will possess a strong foundation in software development, with proven commercial experience in C#.NET environments. Hands-on experience working with large language models and AI APIs is essential, along with a good understanding of prompt engineering, context design, and structured output generation. Candidates should demonstrate the ability to take ideas from concept to deployment quickly, with a pragmatic approach to balancing speed and quality. Familiarity with AI-assisted development tools such as GitHub Copilot or similar platforms is highly desirable.
Additional qualifications that would be advantageous include experience with retrieval-augmented generation (RAG), vector databases, embeddings, multi-provider LLM APIs, and AI evaluation frameworks. Knowledge of SaaS environments, modernizing legacy platforms, and working within distributed systems will also set candidates apart. Strong communication skills and the ability to understand and articulate business problems behind technical solutions are crucial for success in this role.
Responsibilities
- Design and implement prompts, context strategies, and integrations for real-world product features utilizing LLMs.
- Develop and maintain AI-powered capabilities primarily using C#.NET, ensuring seamless integration with existing codebases.
- Create production-grade AI services with comprehensive error handling, fallbacks, monitoring, and logging mechanisms.
- Prototype innovative ideas rapidly, and convert successful experiments into reliable, scalable features suitable for deployment.
- Establish structured approaches to evaluating LLM outputs within actual business scenarios, using measurable metrics.
- Work with multiple LLM APIs from different providers, making pragmatic decisions regarding quality, latency, and cost-effectiveness.
- Utilize AI development tools such as GitHub Copilot, Cursor, or equivalent to enhance productivity and code quality.
- Collaborate closely with engineering teams to ensure solutions adhere to established standards, architecture, and deployment pipelines.
- Stay informed about the latest advancements in AI and share insights and best practices with colleagues.
- Engage with product owners and subject matter experts to thoroughly understand business needs and translate them into technical solutions.
- Ensure AI features are developed with a focus on accuracy, safety, and proper data handling.


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Benefits
Our client offers a competitive compensation package, including attractive salary and benefits tailored to support your professional growth and well-being. You will have the opportunity to work in a collaborative, innovative environment that encourages continuous learning and development. The organization promotes a culture of innovation where your ideas and contributions can directly influence product evolution and company success. Additionally, you will benefit from exposure to cutting-edge AI technologies and methodologies, gaining valuable experience in deploying AI solutions at scale. Flexible working arrangements and a supportive team environment ensure a balanced work-life experience, fostering both personal and professional growth.
Equal Opportunity
Our client is committed to creating an inclusive environment and is proud to be an equal opportunity employer. They value diversity and are dedicated to providing equal employment opportunities regardless of race, gender, age, sexual orientation, disability, or background. All qualified applicants will receive consideration for employment without regard to any protected characteristic. The organization believes that diverse teams foster innovation and creativity, and they actively promote a culture of respect, fairness, and opportunity for all employees.
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