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- Tasks: Design and deploy intelligent agents for real-world business applications.
- Company: Join a forward-thinking tech company with a remote-first culture.
- Benefits: Competitive hourly rate, paid test project, and flexible work environment.
- Why this job: Make an impact in AI by building innovative solutions from concept to deployment.
- Qualifications: Experience in AI development and strong collaboration skills required.
- Other info: Opportunity for rapid prototyping and career growth in a dynamic team.
Job Description
Location: Remote
Engagement Type: Contract
Tech assessment – YES (Paid – $500 USD)
Rate: $150–$250/hour (depending on experience)
Start Date: Immediate
Team: Collaborating with CTD’s Belgrade-based engineering and data science team
Next Step in the Process: Candidates selected to move forward will be invited to complete a 72-hour paid test project. This test is designed to be realistic and scoped for success—giving both sides a chance to evaluate fit before proceeding further.
About The Role
We’re seeking an experienced AI Consultant to help us design, prototype, and deploy intelligent agents tailored to real-world business applications. This is a hands-on, technical role focused on building systems that combine retrieval, reasoning, memory, and safe execution in production.
You’ll be working alongside our in-house engineering and data science team to bring an agent from concept to deployment—quickly and pragmatically.
This is a remote contract engagement with competitive hourly compensation.
What You’ll Do
- Architect and build intelligent agents from scratch, with thoughtful decisions around using existing tools vs. custom solutions.
- Implement and prioritize key components such as memory systems, reasoning frameworks, and vector-based retrieval.
- Fine-tune or integrate LLMs for specific use cases, balancing power with privacy and reliability.
- Design data pipelines for ingesting, transforming, and syncing content from various sources (relational DBs, document stores, APIs).
- Build safe execution layers for agents interfacing with APIs and external systems.
- Develop prompt strategies and memory architectures that generalize across varied user intents.
- Monitor and evaluate agent performance using appropriate metrics (latency, hallucination, accuracy, etc.).
- Collaborate closely with internal teams to iterate rapidly and ship working prototypes.
What We’re Looking For
- Rapidly build functional prototypes and iterate.
- Combine deterministic querying with semantic/vector search.
- Integrate LLMs intelligently—not as a catch-all solution.
- Communicate clearly in both code and documentation.
- Make pragmatic, thoughtful decisions around architecture, trade-offs, and timelines.
- Work collaboratively and adapt to changing needs.
- Start immediately.
Bonus Points
- Experience advising organizations on broader AI adoption strategies.
- Prior experience integrating AI agents with external systems (e.g., APIs, tools, databases) safely and effectively.
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AI Context Engineering (Consultant) - Remote employer: Braintrust
Contact Detail:
Braintrust Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Context Engineering (Consultant) - Remote
✨Tip Number 1
Get your networking game on! Reach out to folks in the AI and tech space, especially those who might be working with intelligent agents. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for that tech assessment like it’s the final exam! Brush up on your skills related to memory systems, reasoning frameworks, and vector-based retrieval. Show them you’re not just a consultant but a hands-on problem solver.
✨Tip Number 3
When you get to the interview stage, don’t just talk about your past projects—bring examples! Share how you’ve built intelligent agents or integrated LLMs in real-world scenarios. It’s all about showing what you can do!
✨Tip Number 4
Finally, apply through our website! We want to see your application come through directly. It makes it easier for us to keep track of awesome candidates like you. Don’t miss out on this chance!
We think you need these skills to ace AI Context Engineering (Consultant) - Remote
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI and intelligent agents. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills: Since this is a hands-on role, be sure to include specific examples of your technical expertise. Mention any tools or frameworks you've used in past projects that relate to building intelligent agents or data pipelines.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see your qualifications and fit for the role at a glance.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to track your application and ensure it gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Braintrust
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially around intelligent agents. Be ready to discuss your experience with LLMs, memory systems, and data pipelines, as these are key components of the role.
✨Showcase Your Prototyping Skills
Prepare to talk about specific projects where you've built prototypes or deployed AI solutions. Highlight your decision-making process regarding using existing tools versus custom solutions, as this will demonstrate your practical approach.
✨Communicate Clearly
Since you'll be collaborating with a remote team, clear communication is crucial. Practice explaining complex concepts in simple terms, both in code and documentation, to show that you can bridge the gap between technical and non-technical stakeholders.
✨Be Ready for the Test Project
Expect to complete a 72-hour paid test project if you move forward. Familiarise yourself with the types of tasks you might encounter, such as building safe execution layers or integrating APIs, so you can hit the ground running.
