Senior AI Research Engineer

Senior AI Research Engineer

Full-Time 95072 - 158453 £ / year (est.) Remote
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At a Glance

  • Tasks: Design AI agents that learn and improve in real-time for industrial applications.
  • Company: Join Phaidra, a leader in AI-powered industrial automation.
  • Benefits: Enjoy competitive pay, unlimited PTO, and remote work flexibility.
  • Other info: Be part of a diverse, fully remote team with excellent growth opportunities.
  • Why this job: Make a real impact by shaping the future of industrial AI.
  • Qualifications: Strong background in AI, machine learning, and software engineering required.

The predicted salary is between 95072 - 158453 £ per year.

  • Postgres, Mongo DB, Parquet
  • Tier 2 (Montreal): 142,156 CAD - 227,450 CAD
  • Tier 2 (Manchester, Birmingham, Edinburgh, Bristol): 95,072 GBP - 158,453 GBP
  • About Phaidra

Phaidra is building the future of industrial automation.

The world today is filled with static, monolithic infrastructure.

Factories, power plants, buildings, etc. operate the same they've operated for decades - because the controls programming is hard-coded.

Thousands of lines of rules and heuristics that define how the machines interact with each other.

The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.

Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:

  • We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.
  • We focus on industrial applications, which tend to be well-sensorized with measurable KPIs - perfect for reinforcement learning.
  • We enable domain experts (our users) to configure the AI control systems (i. e. agents) without writing code.

They define what they want their AI agents to do, and we do it for them.

Our team has a track record of applying AI to some of the toughest problems.

From achieving superhuman performance with Deep Mind's Alpha Go, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.

Phaidra's ability to achieve its mission is determined by our ability to work together - as defined by our core values: Agency, Velocity, Craft, and Truth.

We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture

Phaidra is based in the USA, but we are 100% remote with no physical office.

We hire employees internationally with the help of our partner, Oyster HR.

Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India.

Who You Are

We are looking for an AI Research Engineer to help build the cognitive and behavioral layer of Phaidra's agents.

You sit at the intersection of applied AI research, software engineering, industrial domain reasoning, and product judgment.

You understand that high-performing industrial agents are not just LLM wrappers.

They require rigorous reasoning frameworks, well-designed tool use, grounded context, behavioral evaluations, and continuous alignment with real operational needs.

You care about how agents think, communicate, prioritize, ask for clarification, elevate uncertainty, and turn facility context into useful decisions.

You will help define how Phaidra's agents behave wherever they meet customers, be it Phaidra Prism, Slack/Teams agents, and future autonomous control and field-support workflows.

You will design prompts, guardrails, agent evaluation systems, reasoning patterns, and feedback loops that ensure our agents remain useful, reliable, interpretable, and aligned with user intent.

  • *We are seeking teammates who are based in the UK or North America (Eastern timezone)

Responsibilities

You will own key parts of the research, behavioral quality, and applied intelligence layer of Phaidra's agentic products.

This includes agent reasoning patterns, personalities, prompts, guardrails, evaluation systems, domain-informed behavior, and the feedback loops used to improve agent performance over time.

  • In Particular, You Will
  • Design and improve agent reasoning frameworks that help Phaidra's agents solve complex industrial problems using tools, telemetry, ontology, historical context, and domain logic.
  • Define and maintain agent personalities, communication patterns, behavioral boundaries, and escalation rules across Phaidra's agent portfolio.
  • Develop prompts, system instructions, tool-use policies, and execution loops that help agents act consistently and effectively in industrial contexts.
  • Build and maintain agent evaluations that measure behavioral quality, domain correctness, user usefulness, safety, hallucination risk, tool-use reliability, and alignment with business requirements.
  • Translate subject-matter expertise into reusable reasoning patterns, decision frameworks, eval rubrics, and behavioral tests.
  • Analyze production interactions, user feedback, telemetry, and qualitative signals to identify where agents are succeeding, drifting, or failing.
  • Partner with Agent Reasoning, Ontology, AI Platform, Product, Solutions, and customer-facing teams to improve agent reliability and usefulness.
  • Help agents reason over derived tags, operational math, alarms, recommendations, facility context, and customer-specific constraints.
  • Track state-of-the-art developments in agentic AI, evaluation methods, prompting, tool use, behavioral assurance, and domain-specialized LLM systems.
  • Contribute to Phaidra's broader agent strategy by ensuring our agents are not only technically capable, but trustworthy, interpretable, and valuable to users.
  • Key Qualifications
  • Strong applied AI, machine learning, data science, research engineering, or software engineering background.
  • Experience working with LLMs, agents, copilots, autonomous workflows, or other AI systems that reason over tools and context.
  • Ability to translate ambiguous product and domain problems into concrete experiments, prototypes, evals, and production improvements.
  • Experience evaluating model or agent outputs using qualitative and quantitative methods.
  • Strong product judgment: you understand what makes an AI system actually useful to users, not merely technically impressive.
  • Excellent written communication skills, with an ability to craft precise instructions, behavioral guidelines, research notes, and evaluation criteria.
  • Comfortable collaborating across engineering, product, domain experts, and customer-facing teams.
  • Ability to reason about ambiguity, uncertainty, edge cases, and failure modes in AI systems.
  • Good working knowledge of Python.
  • Shares Phaidra's company values: Agency, Velocity, Craft, Truth
  • Preferred Experience & Skills
  • Experience designing or evaluating LLM agents, tool-using AI systems, prompt systems, guardrails, eval harnesses, red-teaming, or behavioral QA.
  • Experience with HVAC, datacenter operations, EPMS, BMS/BAS, industrial controls, alarm triage, or root-cause analysis.
  • Experience with time-series analysis, anomaly detection, derived tags, operational math, symbolic reasoning, or model-informed decision-making.
  • Experience with RAG systems, knowledge graphs, ontologies, semantic retrieval, or context engineering for AI agents.
  • Experience building dashboards, evaluation datasets, labeling workflows, or feedback loops for AI products.
  • Familiarity with agent frameworks, MCP/tool interfaces, LLM observability, or production AI infrastructure.
  • Track record of turning research ideas into reliable product capabilities.
  • Relevant Technologies from our Stack
  • Python, Go
  • LLMs, agent frameworks, prompts, guardrails, and eval tooling
  • Time-series and operational data systems
  • Postgres, Mongo DB, Parquet
  • REST and g RPC microservices
  • Docker, Kubernetes, Terraform, Kapitan
  • GCP — GKE, Pub/Sub, Cloud SQL, Bigtable
  • Grafana Cloud, Prometheus
  • Git Lab CI, Argo CD, Atlantis
  • Internal agent runtime, tool registries, ontology/context systems, and evaluation workflows
  • Onboarding
  • In your first 30 days…
  • You will learn Phaidra's product, customer environments, and agent portfolio.
  • You will review the current architecture of our agents.
  • You will study existing prompts, guardrails, evals, user feedback, and known behavioral failure modes.
  • You will meet partners across Agents, Product, AI Platform, Solutions, Engineering, and Data Science.
  • You will shadow real or representative agent workflows involving operational insights, alarms, recommendations, or user interactions.
  • In your first 60 days…
  • You will have a solid understanding of how Phaidra's agents reason, communicate, and use tools today.
  • You will ship your first meaningful improvement to an agent prompt, reasoning pattern, eval, or feedback workflow.
  • You will identify key behavioral risks, drift patterns, or quality gaps in one or more agents.
  • You will begin defining standards for agent tone, uncertainty handling, escalation, domain reasoning, and evaluation quality.
  • In your first 90 days…
  • You will independently own a behavioral improvement or evaluation initiative for a production agent.
  • You will have established a repeatable process for measuring and improving agent quality.
  • You will help define the AI research and behavioral assurance roadmap for the Agents Team.
  • You will become a trusted internal voice on whether agents are reasoning correctly, behaving usefully, and operating safely.
  • General Interview Process

All of our interviews are held via Google Meet, and an active camera connection is required.

  • Meeting with Operations (30 minutes) - Meet you, learn about your background, discuss what you're looking for, and cover formalities around your application.
  • Hiring Manager interview (30 minutes) - An introduction call with the hiring manager focused on your previous experience, technical background, and interest in Phaidra's agentic systems.
  • Agent Reasoning, LLM Platform Engineering + Evals Interview (75 minutes) - A working session where you evaluate an agent interaction, identify reasoning or behavioral issues, and propose improvements to tool use, communication, or escalation.
  • Culture fit interview with Phaidra's co-founders (30 minutes) - Alignment with Phaidra's values and mutual cultural fit.
  • Base Salary
  • US Residents
  • Tier 1 (Largest highest-cost metros): 150,430 USD - 240,688 USD
  • Tier 2 (Other major metros): 142,909 USD - 228,654 USD
  • Tier 3 (Mid-sized metro areas): 135,387 USD - 216,619 USD
  • Tier 4 (All other locations): 127,866 USD - 204,585 USD
  • Canada Residents
  • Tier 1 (Vancouver, Toronto): 152,311 CAD - 243,697 CAD
  • Tier 2 (Montreal): 142,156 CAD - 227,450 CAD
  • Tier 3 (Waterloo, Ottawa, Calgary): 121,848 CAD - 194,957 CAD
  • Tier 4 (Smaller cities / rural areas): 111,694 CAD - 178,711 CAD
  • UK Residents
  • Tier 1 (London): 101,014 GBP - 168,356 GBP
  • Tier 2 (Manchester, Birmingham, Edinburgh, Bristol): 95,072 GBP - 158,453 GBP
  • Tier 3 (Smaller cities / rural areas): 89,130 GBP - 148,550 GBP

Benefits & Perks

  • Fast-paced, team-oriented environment where your work directly shapes the company’s direction.
  • We are a 100% remote company.
  • Competitive compensation & meaningful equity.
  • Outsized responsibilities & professional development.
  • Training is foundational; functional, customer immersion, and development training.
  • Medical, dental, and vision insurance (exact benefits vary by region).
  • Unlimited paid time off, with a required minimum of 20 days per year.
  • Paid parental leave (exact benefits vary by region).
  • Flexible stipends to support your workspace, well-being, and continued professional development.
  • Company Mac Book.
  • On being Remote

We take a thoughtful and intentional approach to remote collaboration.

Inspired by pioneers like Git Lab, we embrace proven best practices to foster an exceptional remote work environment.

Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones.

While we value independence, we stay closely connected through tools like Slack and video conferencing.

Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie.

Equal Opportunity Employment

Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

We welcome diversity and strive to maintain an inclusive environment for all employees.

E-Verify Notice

Phaidra participates in E-Verify, an employment authorization database provided through the U.

Department of Homeland Security (DHS) and Social Security Administration (SSA).

As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee's Form I-9 to confirm work authorization for those residing in the United States.

Phaidra only hires individuals who are legally authorized to work in the specified location(s) above.

We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire.

Candidates who advance beyond the initial screening stage will be required to sign a Non-Disclosure Agreement (NDA) in order to continue through the interview process.

All employment offers are contingent upon successful completion of employment authorization verification and applicable background checks, in accordance with local laws and company policies.

Senior AI Research Engineer employer: Phaidra

Phaidra is an exceptional employer that fosters a collaborative and innovative work culture, allowing you to make a meaningful impact in the field of AI. With a focus on employee growth, we offer continuous learning opportunities and the chance to work on cutting-edge projects that shape the future of technology. Our remote work flexibility ensures a healthy work-life balance, making Phaidra an ideal place for talented individuals looking to thrive in their careers.

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Contact Details:

Phaidra Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Research Engineer

✨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 Phaidra 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 Phaidra.

✨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 Phaidra.

✨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 Phaidra 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 Senior AI Research Engineer

Applied AI
Machine Learning
Data Science
Software Engineering
LLMs (Large Language Models)
Agent Reasoning
Behavioral Evaluation

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 Phaidra.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Phaidra 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 Phaidra

✨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 Phaidra 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.