At a Glance
- Tasks: Join us to build cutting-edge AI systems and tackle real-world challenges.
- Company: gravity9, a dynamic IT consulting firm with a global presence.
- Benefits: Competitive salary, training opportunities, and a chance to work on impactful projects.
- Other info: Exciting growth opportunities and a collaborative team environment await you.
- Why this job: Be at the forefront of AI innovation and make a difference from day one.
- Qualifications: Experience in software engineering and AI systems is essential.
The predicted salary is between 56700 - 69300 £ per year.
gravity9 is a boutique IT consulting company headquartered in the UK with offices in the US, Canada, Poland, and Colombia. Our team has deep experience in engineering, experience design and product management. We enjoy a challenge and pride ourselves on working with our clients on their most complex problems, finding elegant and flexible solutions that help them transform their businesses.
We are excited to share that our company is experiencing significant growth and expansion, and as a result, we're on the lookout for talented individuals to join our team. We want to be upfront about our hiring process. At this moment, we are in the process of securing projects that align with our business goals and objectives. Our intention is to ensure that once we bring new team members on board, they will have a meaningful and impactful role to play from day one. While we might not be able to extend an offer immediately, we are highly interested in considering you for these future projects.
If you're open to the idea of potentially joining our team in the future, we encourage you to continue with our interview process. We value your time and effort and believe that getting to know you better will help us make an informed decision. Once you have effectively concluded the entire recruitment procedure, we will retain your profile and reach out to you once a suitable opportunity emerges. Additional interviews will not be necessary at this stage, and we anticipate being able to extend an offer to you promptly.
What does the recruitment process look like?
- Recruiter Screen: In the first call, our recruiter will learn more about you and your story to check a potential fit for gravity9. This step might take around 60 mins.
- Tech 1 Interview with our AI Practice Lead: This meeting will take a deeper dive into your experience and what you could bring to the team. This step will take around 75 mins.
- Tech 2 Interview with our software consultants: This meeting will take a deeper dive into your experience and what you could bring to the team. This step will take around 60 mins.
- Final Interview: Here we strive to cooperate with you and give you an opportunity to meet our leadership team during this informal talk. This step will take around 30 mins.
The salary details for the role will be communicated ahead of the first recruitment meeting. Thank you for considering the opportunity to be a part of our growing journey. We look forward to the possibility of working together and achieving great things.
Role Description:
gravity9 is expanding its Forward Deployed Engineering team to build production agentic AI systems for enterprise clients, in partnership with leading frontier-model providers. We already support clients from different verticals to have agentic and RAG systems live in production across healthcare, financial services, retail and global logistics.
As a Forward Deployed AI Engineer you work embedded in the client's environment, from discovery, through architecture and build, to production and handover. This is end-to-end agent engineering, not proofs of concept and not advisory work.
Engagements are typically a team of engineers over a few months, working shoulder-to-shoulder with the client's team including architects, DevOps and QA. You are visible to the client from day one.
Responsibilities include:
- Design and build production agentic AI systems.
- Do the unglamorous data work, including ingestion, flattening deeply nested structures, extracting content from unstructured documents, classification, summarisation, tagging, enrichment, indexing.
- Own evaluation and accuracy, establishing a baseline eval dataset at the start of the engagement.
- Engineer for cost and latency, focusing on model selection and routing.
- Ship it properly, ensuring observability and tracing, CI/CD, IaC, monitoring, security and compliance review.
- Transfer knowledge deliberately, ensuring the client owns and can extend the system after we leave.
Job requirements:
Technical skills:
- Strong Python (async, typing, testing, packaging). Working competence in TypeScript / Node is a plus.
- Hands-on production experience with frontier models.
- Built and shipped multi-agent or agentic workflows.
- Experience with NoSQL databases such as MongoDB or a strong equivalent, plus SQL.
- Building ingestion and enrichment pipelines over messy structured and unstructured sources.
- Production delivery on AWS, Azure or GCP.
- Git, code review, testing, CI/CD, IaC (Terraform or equivalent).
Soft skills:
- Client presence and credibility.
- Translation of business problems into technical designs.
- Ego-free collaboration in a supporting role.
- Comfort with ambiguity and greenfield.
- Bias to production.
- Teaching instinct.
- Ownership and pace.
- Commercial awareness.
- Resilience and adaptability.
- Written communication.
- Genuine curiosity about the field.
Experience profile:
- FDE (mid): 3+ years software engineering, 1+ years hands-on LLM / agentic work.
- Senior FDE: 5+ years engineering, 2+ years AI or agentic AI.
- Lead FDE: 7+ years, has led delivery teams of 3–7 people.
What success looks like:
- First 90 days — owning a meaningful component of a client-facing agent system.
- 6 months — designing agent architectures independently.
- 12 months — a reference point for others on the team.
What we offer:
- Support for vendor certifications and access to partner training programmes.
- Company-wide AI tooling as part of how we work day to day.
Forward Deployed AI Engineer in Birmingham employer: gravity9
gravity9 is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. With a focus on meaningful projects for the public sector, employees benefit from flexible remote working arrangements, opportunities for professional growth, and the chance to make a significant impact in data governance. The company's commitment to a supportive culture ensures that team members are empowered to excel in their roles while contributing to a vital mission.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed AI Engineer in Birmingham
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at gravity9 or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to gravity9.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like gravity9.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like gravity9 that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Forward Deployed AI Engineer in Birmingham
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at gravity9.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at gravity9 and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at gravity9
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If gravity9 uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.