Agentic Engineer

3 days ago

London, Greater London, United Kingdom Trigma Full time

Company Description

TRIGMA.AI is an AI tech startup focused on revolutionizing investment optimization for product promotions, customer engagement models, and digital asset modularization. Our mission is to eliminate information asymmetry and manual approaches to commercial measurement in the Pharma industry by pioneering AI-driven Commercial Resource Optimization. We empower businesses by leveraging advanced AI and Data Scientist Symbiosis Agentic technologies to measure commercial effectiveness rapidly and at scale. Our solutions are designed to optimize omnichannel investment, market share growth, and revenue operations.

Role Description

This is a full-time hybrid role for an Agentic Engineer based in the London Area, United Kingdom, with some work from home flexibility. The Agentic Engineer will be responsible for designing and developing AI models, implementing machine learning algorithms, and optimizing AI-driven solutions for commercial resource management. Day-to-day tasks include collaborating with cross-functional teams to identify and solve complex business problems using AI, conducting experiments, and validating AI models to ensure accuracy and reliability. The role also involves continuous learning and staying updated with the latest AI advancements.

Responsibilities

  1. Own the development of the AI Agent and role of LLMs within Trigma.AI's main product, taking a highly creative, blue sky approach to the possibilities AI Agents open up for functionality between our users and features.
  2. Work with design & product engineering teams to ensure the agent matches the tone and functionality that Trigma.AI is looking for.
  3. Work with the product and infrastructure engineering team to develop architecture that scales to millions of users, and ensure latency is kept extremely low.
  4. Work with the applied research team to understand and build for new GenAI features becoming available, including controllability & editability functions alongside new foundation models and how they can work in an agentic workflow.

Qualifications

  • Advanced proficiency in AI model design and development.
  • Experience building incredibly cool stuff with LLMs and Agents, testing and expanding their functionality beyond the industry norms.
  • Experience with machine learning algorithms and their implementation.
  • Prior experience working in startup environments, either as a founder or an early-stage engineer.
  • Best candidates may have built a production-level project or created an MVP to test out a startup idea.
  • 5+ years of engineering experience in various tech environments, including product-driven companies.
  • Strong skills in data analysis, data preprocessing, and data visualization.
  • Strong python skills and deep understanding of end to end backend systems and databases.
  • Excellent problem-solving and analytical skills.
  • Ability to work collaboratively with cross-functional teams.
  • Master's or Ph.D. in Computer Science, Data Science, or related field.
  • Experience in the Pharma industry and knowledge of commercial resource optimization is a plus.

We are a well-treated bunch, with awesome benefits If there's something important to you that's not on this list, talk to us

Regular compensation reviews - great work is rewarded

Flexible paid time off policy.

Paid Parental Leave Program.

Fun events for Intercomrades, friends, and family

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • Business Intelligence Platforms
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