Senior Artificial Intelligence Engineer

Job Title:

• 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.

What Were Looking For

• 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.

Why Youll Love Working Here

• Your work will directly contribute to making supply chains more sustainable and helping businesses do better for the planet.
• Be part of a Certified B Corporation thats proving you can balance purpose and profit.

Room to Grow:

• Join a fast-growing company with big ambitionsand grow your career alongside us.
• Take advantage of professional development programs, mentorship, and learning opportunities.

A Culture of Belonging:

• Work in a diverse, inclusive environment where everyones voice is valued.
• Join Employee Resource Groups (ERGs) and participate in initiatives that matter to you

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Benefits That Care for You:

• Competitive salary and performance-based bonuses.
• Wellness programs, including mental health support and fitness initiatives.
• Flexible work options to help you balance work and life.
• Generous vacation and life leave days for those moments that matter most.

How to Apply