Agentic AI Developer

About the role

As an Agentic AI Developer, you will make an impact by designing, building, and deploying intelligent AI agents that enable autonomous reasoning, decision-making, and workflow execution at enterprise scale. You will be a valued member of our AI engineering team and work collaboratively with architects, data engineers, platform teams, business stakeholders, and client-facing technology teams to deliver innovative AI-powered solutions.

• Design and develop AI agents capable of task planning, contextual reasoning, tool utilization, and multi‑step execution.
• Build and deploy single‑agent and multi‑agent systems using frameworks such as Lang Chain, Semantic Kernel, CrewAI, Auto Gen, or similar technologies.
• Develop Generative AI solutions leveraging Large Language Models (LLMs), including Azure OpenAI, OpenAI, Anthropic, and related platforms.
• Implement Retrieval‑Augmented Generation (RAG) solutions and integrate vector databases to enhance knowledge retrieval, semantic search, and contextual grounding.
• Integrate AI agents with enterprise platforms, APIs, data ecosystems, and business applications while ensuring security, scalability, performance, and responsible AI practices.

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work‑life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field.
• 3–8 years of experience in software engineering, data engineering, machine learning, or a related technical discipline.
• Hands‑on experience developing Generative AI or LLM‑powered applications in production environments.
• Strong proficiency in Python and experience with AI/ML libraries and frameworks such as OpenAI SDK, Hugging Face, Transformers, or similar.
• Experience building AI agent solutions using frameworks such as Lang Chain, Semantic Kernel, CrewAI, Auto Gen, or comparable technologies.
• Experience implementing RAG pipelines, embeddings, semantic search, and vector database solutions.
• Knowledge of REST APIs, microservices architecture, and enterprise application integration patterns.
• Experience working with cloud platforms such as Azure, AWS, or GCP, including AI services such as Azure OpenAI and Azure AI Studio.
• Ability to design scalable, secure, and reliable AI solutions while adhering to responsible AI and data privacy standards.

• Experience designing multi‑agent orchestration and planner‑executor architectures.
• Experience integrating AI solutions with enterprise platforms such as Databricks, Snowflake, Synapse, CRM systems, ERP platforms, or Service Now.
• Knowledge of workflow orchestration tools such as Airflow or Prefect.
• Experience with containerization and cloud‑native technologies, including Docker and Kubernetes.
• Exposure to knowledge graphs, semantic reasoning, observability frameworks, and AI evaluation methodologies.
• Industry experience within Insurance, Financial Services, or other highly regulated enterprise environments.

We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Please note, this role is not able to offer visa transfer or sponsorship now or in the future.

Applications will be accepted until July 26, 2026.

The annual salary for this position is between $98,000 - $115,000 depending on experience and other qualifications of the successful…