Senior AI Engineer

We are seeking an experienced Senior AI Engineer with deep expertise in designing and building advanced AI / ML systems Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) and agent-based architectures. This role is ideal for a highly skilled technologist with 10 years of software development experience (including 3 years in AI / ML) who thrives at the intersection of systems engineering cloud infrastructure and cutting-edge AI and machine learning applications.

As a Senior AI Engineer you will architect implement and optimize AI-driven solutions for enterprise-scale environments. You will collaborate closely with cross-functional engineering product and research teams to integrate intelligent features into products and services. You will also play a key role in operationalizing AI systems ensuring reliability security and performance at scale.

The Senior AI Engineer is a systems-oriented innovator who is passionate about building reliable AI platforms pushing the boundaries of applied AI and driving measurable business value through innovation.

Key Requirements & Responsibilities

Design and Develop AI Systems : Design build and optimize advanced AI solutions including LLMs RAG pipelines and agent-based architectures.

Operationalize AI Agents : Deploy orchestrate and manage multi-agent systems for enterprise-scale use cases leveraging standards and frameworks like MCP LangChain Agents CrewAI AutoGen or A2A / ADK.

Agent Lifecycle Management : Establish practices for agent state management role coordination monitoring retraining and rollback to ensure reliability and accountability.

Autonomy Guardrails : Implement policies controls and observability to bound agent behavior prevent runaway actions and align with Responsible AI standards.

Integration Architecture : Connect agents with APIs microservices and message-driven systems to orchestrate seamless collaboration across agents humans and enterprise services.

Responsible AI & Security : Apply governance fairness security and compliance controls to ensure safe ethical and regulatory-aligned agent operations.

Collaborate Cross-Functionally : Partner with product managers designers and engineers to co-create AI features that deliver business value and improve user experience.

Drive Continuous Innovation : Stay ahead of emerging trends in AI engineering evaluate and adopt emerging tools / frameworks to strengthen the AI platform strategy.

Be familiar with corporate security policies and follow the guidance set out by processes and procedures of Assent.

Qualifications :

We strongly value your talent energy and passion. It will also be valuable to Assent if you have the following qualifications

Masters or Bachelors degree in Computer Science or Software Engineering.

Industry Experience : 8 years of professional software development including 3 years in AI / ML systems (LLMs RAG agent-based architectures).

Programming Excellence : Expert-level coding skills in Python C# and Angular / JavaScript and experience with coding assistants.

Agentic AI Tooling : Hands-on experience with standards and frameworks such as MCP A2A / ADK LangChain CrewAI and AutoGen.

Cloud Expertise : Strong working knowledge of AWS (preferred) Azure or GCP; comfort with cloud-native services for LLM workloads.

Systems Thinking : Deep understanding of event-driven architectures distributed systems message brokers (Kafka Rabbitmq Solace PubSub) and microservices.

DevOps Fluency : Familiarity with CI / CD Docker and infrastructure-as-code; able to collaborate with DevOps teams to ensure scalable and reliable agent operations.

Responsible AI Awareness : Understanding of AI security fairness governance and compliance frameworks.

Product Orientation : Ability to translate business challenges into AI / ML solutions define use cases and engage in early-stage ideation and problem-solving.

Collaboration & Communication : Strong ability to engage with cross-functional teams influencing product direction while articulating technical trade-offs.

Innovation Mindset : Curiosity and passion for applying emerging AI / ML techniques to enterprise integration challenges.

Additional Information :

Life at Assent

Wellness : We believe that you and your familys well being is important. As a result we offer vacation time that increases with tenure comprehensive benefits packages (details vary by country) life leave days and more.

Financial Benefits : Its not all about the money well its a little about the money. We understand that financial health is important and we offer a competitive base salary a corporate bonus program retirement savings options and more.

Life at Assent : There is purpose beyond your work. We provide our team members with flexible work options volunteer days and opportunities to get involved in corporate giving initiatives.

Lifelong Learning : At Assent curiosity is not only valued but encouraged. You will receive professional development days that are available to you the day you start.

At Assent we are committed to growing and sustaining an environment where our team members feel included valued and heard. Our diversity and equal opportunity practices are guided and championed by our Diversity and Inclusion Working Group and our Employee Resource Groups (ERGs).

Our commitment to diversity equity and inclusion includes recruiting and retaining team members from diverse backgrounds and experiences and fostering a culture of belonging where all team members are included treated with dignity and respect promoted on their merits and placed in positions to contribute to business success.

If you require assistance or accommodation throughout any part of the interview and selection process please contact and we will be happy to help.

Remote Work : No

Employment Type : Full-time

Key Skills

APIs,C / C++,Computer Graphics,Go,React,Redux,Node.js,AWS,Library Services,Assembly,GraphQL,High Voltage

Department / Functional Area : Engineering

Experience : years

Vacancy : 1