The Specialist Software Engineer is responsible for designing, building, and scaling intelligent AI & Actuarial systems in Hybrid Cloud Environment with strong focus on AWS Cloud Services. This role focuses on developing production-grade AI Applications, data engineering, APIs, and orchestration layers that enable advanced automation, deep research, and enterprise AI capabilities across the Finance organization.
Requirements
- Bachelor's degree in computer science, Engineering, Information Systems, or a related field.
- Strong experience with Python & Spark for building AI, data, and agent-based applications.
- Hands-on experience with AWS Bedrock and large language models (LLMs).
- Experience using LangChain, Strands, or similar agent frameworks.
- Strong understanding of agent core design, multi-agent systems, and orchestration patterns.
- Experience building serverless solutions using AWS Lambda and API Gateway.
- Solid knowledge of prompt & context engineering techniques and LLM optimization strategies.
- Experience integrating LLMs with enterprise systems via APIs.
- Build Solutions to any complex business problem using AI-Development Life Cycle methodology.
- Strong problem-solving, communication, and collaboration skills.
- Experience with broader AI and agent frameworks, including hierarchical agents and autonomous agent architectures.
- Familiarity with Model Context Protocol (MCP) and emerging agent interoperability standards.
- Experience with Kiro or similar AI IDE tools for agent-assisted development workflows.
- Experience with CI/CD pipelines, Infrastructure as Code (CDK, CloudFormation, or Terraform), and version control (Git).
- Familiarity with containerization technologies such as Docker, Amazon ECS, or EKS for production AI deployments.
- Experience with AWS Quick Tools and AWS Frontier Agents.
- Hands-on experience with deep research agents and multi-step reasoning workflows.
- Experience implementing RAG using Vector Databases (e.g., OpenSearch, Pinecone, FAISS) and Graph Databases.
- Exposure to model tuning, embeddings, and evaluation techniques.
- Knowledge of enterprise AI governance, security, and responsible AI practices.
- Experience in financial services or regulated enterprise environments.
Benefits
- Competitive Pay
- Bonus for Eligible Employees
- Benefits Package
- Pension Plan
- 401k Match
- Employee Stock Purchase Plan
- Tuition Reimbursement
- Disability Insurance
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Employee Discounts
- Career Training & Development Opportunities
- Paid Time Off
- Ten (10) paid holidays per year
- Be Well Company holistic wellness program
- Parental Leave
- Adoption Assistance
- Employee Assistance Program
- Back-Up Care Program
- PTO for Volunteer Hours
- Employee Matching Gifts Program
- Employee Resource Groups
- Inclusion and Diversity Programs
- Employee Recognition Program
- Referral Bonus Programs
