B
AGENTIC AI Engineer (Phoenix)
BCforward
4 hours ago
Full-time
On-site
Phoenix, Arizona, United States
BCforward is seeking a highly motivated and experienced AGENTIC AI Engineer
Note: Candidate must be local to Phoenix, AZ.
Job Title: AGENTIC AI Engineer
Job Location: Phoenix, AZ (Hybrid)
Duration: Long-term contract
Pay Rate: $62/Hr. W2 or $70/Hr. On C2C
Must Haves:
AGENTIC AI
Commercial and open-source LLMs integrated into agentic workflows
Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation
Strong schema, validation, and state management practices
AI-assisted development
Fluency with AI-assisted and agentic development workflows for design, implementation, testing, debugging, and refactoring
Thoughtful use of these tools while maintaining production-quality engineering standards
All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment.
Nice To haves:
Former AMEX and understanding of AMEX systems
Financial services.
Experience building testing environments.
Description:
Owns all technical aspects of software development for assigned applications
Participates in the design and development of systems & application programs
Functions as Senior member of an agile team and helps drive consistent development practices – tools, common components, and documentation
Mentors engineers, and may have management responsibilities over 2-3 engineers
Identifies opportunities to adopt innovative technologies
Works closely with product owners on blueprints and annual planning of feature sets that impact multiple platforms and products
Works with product owners to prioritize features for ongoing sprints and managing a list of technical requirements based on industry trends, new technologies, known defects, and issues
6-9 years of software development experience
Demonstrated experience leading teams of engineers with at least one year's experience in a team leader role
Familiar with Agile or other rapid application development methods
Experience with design and coding across one or more platforms and languages as appropriate
Hands-on expertise with application design, software development and automated testing
Ability to effectively interpret technical and business objectives and challenges, and articulate solutions
Ability to think abstractly and deal with ambiguous/under-defined problems
Ability to enable business capabilities through innovation
Looks proactively beyond the obvious for continuous improvement opportunities
High energy, demonstrated willingness to learn new technologies, and takes pride in how fast they develop working software
Experience with distributed (multi-tiered) systems, algorithms, and relational databases
Demonstrated experience with object-oriented design and coding with variety of languages
Bachelor's or Master's degree in computer science, computer engineering, or other technical discipline, or equivalent work experience, is required
CPD Job Description for Engineer II (AI Agentic Engineer)
Responsibilities
Design, build, and ship LLM-powered and agentic product features that change how customers manage their finances.
Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.
Architect and implement production-grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety.
Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tooling, that scales agentic development across Amex
Technology.
Own the systems you build in production, including reliability, latency, cost, and failure modes.
Work closely with product and design partners; engineers in this role are expected to think in terms of customer outcomes, not just technical execution.
Technical Environment
We don’t hire to a narrow checklist, but candidates should be comfortable operating in a modern, enterprise-scale environment with a strong emphasis on agentic AI.
Core engineering stack
Languages: Python, Go, TypeScript
Cloud and infrastructure: AWS and/or GCP, Kubernetes
APIs and services: REST, gRPC
Distributed systems: event-driven architectures, including Kafka
Agentic AI and ML
Commercial and open-source LLMs integrated into agentic workflows
Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation
Strong schema, validation, and state management practices
AI-assisted development
Fluency with AI-assisted and agentic development workflows for design, implementation, testing, debugging, and refactoring
Thoughtful use of these tools while maintaining production-quality engineering standards
All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment.
Qualifications
8+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems.
A track record of shipping AI-powered or agentic systems that real users depend on.
Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
Hands-on experience with modern LLM tooling and agentic patterns and architectures.
Fluency with AI-assisted and agentic development workflows.
Strong sense of ownership and sound technical judgment.
Comfort operating with ambiguity and turning it into shipped reliable product.
A strong product mindset and customer orientation.
Preferred Qualifications
Experience building agentic systems in fintech or other regulated industries.
Experience as a founding engineer or early technical contributor in high-growth environments.
Demonstrated ability to ship technically complex systems in regulated contexts that customers actively rely on.
Meaningful open-source contributions, particularly in AI or developer tooling.
Experience in modern application development technologies such as React, Kotlin, TypeScript, CircleCI, iOS/Swift, and Android
Note: Candidate must be local to Phoenix, AZ.
Job Title: AGENTIC AI Engineer
Job Location: Phoenix, AZ (Hybrid)
Duration: Long-term contract
Pay Rate: $62/Hr. W2 or $70/Hr. On C2C
Must Haves:
AGENTIC AI
Commercial and open-source LLMs integrated into agentic workflows
Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation
Strong schema, validation, and state management practices
AI-assisted development
Fluency with AI-assisted and agentic development workflows for design, implementation, testing, debugging, and refactoring
Thoughtful use of these tools while maintaining production-quality engineering standards
All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment.
Nice To haves:
Former AMEX and understanding of AMEX systems
Financial services.
Experience building testing environments.
Description:
Owns all technical aspects of software development for assigned applications
Participates in the design and development of systems & application programs
Functions as Senior member of an agile team and helps drive consistent development practices – tools, common components, and documentation
Mentors engineers, and may have management responsibilities over 2-3 engineers
Identifies opportunities to adopt innovative technologies
Works closely with product owners on blueprints and annual planning of feature sets that impact multiple platforms and products
Works with product owners to prioritize features for ongoing sprints and managing a list of technical requirements based on industry trends, new technologies, known defects, and issues
6-9 years of software development experience
Demonstrated experience leading teams of engineers with at least one year's experience in a team leader role
Familiar with Agile or other rapid application development methods
Experience with design and coding across one or more platforms and languages as appropriate
Hands-on expertise with application design, software development and automated testing
Ability to effectively interpret technical and business objectives and challenges, and articulate solutions
Ability to think abstractly and deal with ambiguous/under-defined problems
Ability to enable business capabilities through innovation
Looks proactively beyond the obvious for continuous improvement opportunities
High energy, demonstrated willingness to learn new technologies, and takes pride in how fast they develop working software
Experience with distributed (multi-tiered) systems, algorithms, and relational databases
Demonstrated experience with object-oriented design and coding with variety of languages
Bachelor's or Master's degree in computer science, computer engineering, or other technical discipline, or equivalent work experience, is required
CPD Job Description for Engineer II (AI Agentic Engineer)
Responsibilities
Design, build, and ship LLM-powered and agentic product features that change how customers manage their finances.
Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.
Architect and implement production-grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety.
Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tooling, that scales agentic development across Amex
Technology.
Own the systems you build in production, including reliability, latency, cost, and failure modes.
Work closely with product and design partners; engineers in this role are expected to think in terms of customer outcomes, not just technical execution.
Technical Environment
We don’t hire to a narrow checklist, but candidates should be comfortable operating in a modern, enterprise-scale environment with a strong emphasis on agentic AI.
Core engineering stack
Languages: Python, Go, TypeScript
Cloud and infrastructure: AWS and/or GCP, Kubernetes
APIs and services: REST, gRPC
Distributed systems: event-driven architectures, including Kafka
Agentic AI and ML
Commercial and open-source LLMs integrated into agentic workflows
Tooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluation
Strong schema, validation, and state management practices
AI-assisted development
Fluency with AI-assisted and agentic development workflows for design, implementation, testing, debugging, and refactoring
Thoughtful use of these tools while maintaining production-quality engineering standards
All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment.
Qualifications
8+ years of software engineering experience, including meaningful production experience with LLMs or applied ML systems.
A track record of shipping AI-powered or agentic systems that real users depend on.
Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
Hands-on experience with modern LLM tooling and agentic patterns and architectures.
Fluency with AI-assisted and agentic development workflows.
Strong sense of ownership and sound technical judgment.
Comfort operating with ambiguity and turning it into shipped reliable product.
A strong product mindset and customer orientation.
Preferred Qualifications
Experience building agentic systems in fintech or other regulated industries.
Experience as a founding engineer or early technical contributor in high-growth environments.
Demonstrated ability to ship technically complex systems in regulated contexts that customers actively rely on.
Meaningful open-source contributions, particularly in AI or developer tooling.
Experience in modern application development technologies such as React, Kotlin, TypeScript, CircleCI, iOS/Swift, and Android