Kforce Inc
4 days ago Be among the first 25 applicants
This range is provided by Kforce Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base Pay Range $131.50/hr - $131.50/hr
Responsibilities
Design and deliver scalable, secure, high-performance GenAI and agentic architectures
Integrate LLMs and multi-agent frameworks into existing platforms with modular, pluggable tools and context‑aware reasoning
Define reference architectures for RAG, function/tool calling, event‑driven pipelines, and real‑time processing
Build multi‑agent systems with reasoning pipelines and task automation
Design, build and deploy Python back‑end services
Own the model‑tuning data lifecycle (collection, sanitization, preparation); fine‑tune and evaluate foundation models
Evaluate and operationalize frameworks with a pragmatic balance of latency, accuracy, and cost
Establish LLMOps: benchmarking/evaluations, observability, drift and latency monitoring, guardrails, and safe rollout strategies
Optimize inference efficiency, vector indexing, and infrastructure utilization at scale
Strategy, Leadership & Governance
Define the AI technical strategy and roadmap, prioritize high‑impact, measurable use cases
Lead multiple engineering pods, mentor engineers and guide architectural decisions and best practices
Champion Responsible AI: privacy, compliance, governance, bias/safety testing, and auditability
Partner with product, security, legal, and business stakeholders to align solutions to outcomes
Requirements
BS/MS in CS, Data Science, or related field (or equivalent experience)
13+ years in software/technology with significant production GenAI experience
Proven delivery of modular multi-agent systems with dynamic tool integration and context‑aware reasoning, familiarity with MCP or similar protocols
Strong Python skills, fluency with Spark and modern data processing
Deep, hands‑on knowledge of LLMs (GPT, Claude, Gemini, Llama 3.x/4, Phi, etc.), across hosted and open‑source ecosystems
Expertise in event‑driven architectures and real‑time streaming systems, with a track record of deploying agentic AI to production
Vector databases (Azure AI Search, pgvector, Pinecone, Redis, Milvus); prompt engineering and fine‑tuning expertise
Kubernetes/Docker, CI/CD (Azure DevOps), and data lakehouse patterns/governance
Expertise with LangChain, Atomic agents, AutoGen and Semantic Kernel, etc.
Exceptional leadership and communication skills for both technical and non‑technical audiences
Leads by example, builds trust, and drives results across cross‑functional teams
Cloud (Azure preferred): Azure OpenAI, AKS/ACR/Functions (AWS/GCP a plus)
Pay and Compensation 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.
Benefits 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.
Job Details
Seniority level: Associate
Employment type: Contract
Job function: Engineering and Information Technology
Industries: Retail Office Equipment, E‑Learning Providers, and Professional Training and Coaching
Location: Tampa, FL
Pay: $165,000 - $185,000
Posted: 23 hours ago
Equal Opportunity Employer 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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This range is provided by Kforce Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base Pay Range $131.50/hr - $131.50/hr
Responsibilities
Design and deliver scalable, secure, high-performance GenAI and agentic architectures
Integrate LLMs and multi-agent frameworks into existing platforms with modular, pluggable tools and context‑aware reasoning
Define reference architectures for RAG, function/tool calling, event‑driven pipelines, and real‑time processing
Build multi‑agent systems with reasoning pipelines and task automation
Design, build and deploy Python back‑end services
Own the model‑tuning data lifecycle (collection, sanitization, preparation); fine‑tune and evaluate foundation models
Evaluate and operationalize frameworks with a pragmatic balance of latency, accuracy, and cost
Establish LLMOps: benchmarking/evaluations, observability, drift and latency monitoring, guardrails, and safe rollout strategies
Optimize inference efficiency, vector indexing, and infrastructure utilization at scale
Strategy, Leadership & Governance
Define the AI technical strategy and roadmap, prioritize high‑impact, measurable use cases
Lead multiple engineering pods, mentor engineers and guide architectural decisions and best practices
Champion Responsible AI: privacy, compliance, governance, bias/safety testing, and auditability
Partner with product, security, legal, and business stakeholders to align solutions to outcomes
Requirements
BS/MS in CS, Data Science, or related field (or equivalent experience)
13+ years in software/technology with significant production GenAI experience
Proven delivery of modular multi-agent systems with dynamic tool integration and context‑aware reasoning, familiarity with MCP or similar protocols
Strong Python skills, fluency with Spark and modern data processing
Deep, hands‑on knowledge of LLMs (GPT, Claude, Gemini, Llama 3.x/4, Phi, etc.), across hosted and open‑source ecosystems
Expertise in event‑driven architectures and real‑time streaming systems, with a track record of deploying agentic AI to production
Vector databases (Azure AI Search, pgvector, Pinecone, Redis, Milvus); prompt engineering and fine‑tuning expertise
Kubernetes/Docker, CI/CD (Azure DevOps), and data lakehouse patterns/governance
Expertise with LangChain, Atomic agents, AutoGen and Semantic Kernel, etc.
Exceptional leadership and communication skills for both technical and non‑technical audiences
Leads by example, builds trust, and drives results across cross‑functional teams
Cloud (Azure preferred): Azure OpenAI, AKS/ACR/Functions (AWS/GCP a plus)
Pay and Compensation 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.
Benefits 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.
Job Details
Seniority level: Associate
Employment type: Contract
Job function: Engineering and Information Technology
Industries: Retail Office Equipment, E‑Learning Providers, and Professional Training and Coaching
Location: Tampa, FL
Pay: $165,000 - $185,000
Posted: 23 hours ago
Equal Opportunity Employer 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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