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Offshore AI Engineer
Kforce Inc
2 hours ago
Full-time
On-site
Armonk, New York, United States
Responsibilities
Kforce has a client in Armonk, NY that is seeking an Offshore AI Engineer responsible for end-to-end development, enhancement and productionisation of Trident's GenAI capabilities. The role incorporates the AI Software Engineering scope covering agents, intents, tools, prompts, RAG, backend services and AI features, combined with production-grade Python/FastAPI development, LLMOps, AI quality and observability.
Design, develop and enhance AI agents and end-to-end agent workflows
Develop and maintain intents, prompts, tools/function integrations and AI orchestration logic
Build and enhance RAG and enterprise knowledge-retrieval capabilities
Develop new AI features and continuously enhance existing Trident capabilities
Develop and maintain backend services supporting AI agents, conversation flows and integrations
Develop production-grade Python and FastAPI services
Build scalable services using asynchronous Python programming, including async/await and concurrent processing patterns
Design and integrate REST APIs and connect LLMs/agents with enterprise data sources and downstream services
Engineer solutions using Azure AI Foundry and Azure AI Search
Support conversation state, context management and agent/service integration patterns
Develop automated unit, integration, regression and AI evaluation testing
Establish AI quality controls including groundedness, regression evaluation and guardrails
Implement AI observability using OpenTelemetry, Dynatrace, Application Insights and Azure Monitor
Analyze and optimise latency, token consumption, model/API failures, response quality and cost
Support AI incident analysis, root-cause investigation and continuous engineering improvement
Requirements
To be considered for this position, candidates must have experience in a similar role, or they must possess significant knowledge, experience, and abilities to successfully perform the responsibilities listed
Relevant education and/or training will be considered a plus
Desirable experience: Microsoft Agent Framework, Model Context Protocol (MCP), Cosmos DB/NoSQL, Redis, APIM, GitHub Actions, responsible AI and FinOps/token-cost optimization
Strong production-grade Python development experience
Experience With
FastAPI and backend/microservice engineering
Asynchronous programming, async/await and concurrency patterns
AI agent and agentic workflow development
Intents, prompts and tool/function development
RAG and enterprise knowledge retrieval
Backend services and REST API integration
Azure AI Foundry and Azure AI Search
LLM/API integration
Docker/containerised applications
Git/GitHub and CI/CD fundamentals
AI evaluation and LLMOps
AI quality, guardrails and application/AI observability
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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Design, develop and enhance AI agents and end-to-end agent workflows
Develop and maintain intents, prompts, tools/function integrations and AI orchestration logic
Build and enhance RAG and enterprise knowledge-retrieval capabilities
Develop new AI features and continuously enhance existing Trident capabilities
Develop and maintain backend services supporting AI agents, conversation flows and integrations
Develop production-grade Python and FastAPI services
Build scalable services using asynchronous Python programming, including async/await and concurrent processing patterns
Design and integrate REST APIs and connect LLMs/agents with enterprise data sources and downstream services
Engineer solutions using Azure AI Foundry and Azure AI Search
Support conversation state, context management and agent/service integration patterns
Develop automated unit, integration, regression and AI evaluation testing
Establish AI quality controls including groundedness, regression evaluation and guardrails
Implement AI observability using OpenTelemetry, Dynatrace, Application Insights and Azure Monitor
Analyze and optimise latency, token consumption, model/API failures, response quality and cost
Support AI incident analysis, root-cause investigation and continuous engineering improvement
Requirements
To be considered for this position, candidates must have experience in a similar role, or they must possess significant knowledge, experience, and abilities to successfully perform the responsibilities listed
Relevant education and/or training will be considered a plus
Desirable experience: Microsoft Agent Framework, Model Context Protocol (MCP), Cosmos DB/NoSQL, Redis, APIM, GitHub Actions, responsible AI and FinOps/token-cost optimization
Strong production-grade Python development experience
Experience With
FastAPI and backend/microservice engineering
Asynchronous programming, async/await and concurrency patterns
AI agent and agentic workflow development
Intents, prompts and tool/function development
RAG and enterprise knowledge retrieval
Backend services and REST API integration
Azure AI Foundry and Azure AI Search
LLM/API integration
Docker/containerised applications
Git/GitHub and CI/CD fundamentals
AI evaluation and LLMOps
AI quality, guardrails and application/AI observability
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
#J-18808-Ljbffr