Encore Talent Solutions
Encore Talent Solutions provided pay range
This range is provided by Encore Talent Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $70.00/hr - $75.00/hr
Direct message the job poster from Encore Talent Solutions
Senior Information Technology Recruiter at Encore Talent Solutions/Sports Junkie MUST BE ABLE TO WORK W-2-
NO 3RD PARTIES
Job Description We are seeking a AI Engineer to join our dynamic team. In this role, you will play a key part in designing and building agentic workflows and autonomous systems that contribute to the development of intelligent, autonomous solutions driving business value.
You will collaborate with cross-functional teams and stakeholders to deliver high-quality, AI-driven solutions in a fast-paced environment.
Key Responsibilities
Design, build, and maintain agentic workflows and autonomous systems
Develop and integrate AI models into production-grade applications
Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions
Implement orchestration logic for multi-agent systems and task automation
Write clean, scalable, and maintainable code in support of AI initiatives
Monitor and optimize the performance of AI systems in production
Stay current with advancements in AI, LLMs, and agentic architectures
Required Qualifications
Demonstrated experience engineering RAG pipelines and building chatbot applications using LLMs
Familiarity with semantic search and embedding models, including OpenSearch and FAISS
Hands-on experience with MLOps practices, including model training, deployment, monitoring, and lifecycle management
Proficiency with AWS services including SageMaker, Bedrock, Lambda, ECS, EKS, and Step Functions
Software engineering experience, with a strong focus on Python or GoLang
Strong software development skills with proficiency in Python or similar languages
Practical prompt engineering & prompt lifecycle management (versioning, regression testing)
Experience designing and building agentic workflows or multi-agent systems
Familiarity with orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, or similar)
Solid understanding of AI/ML concepts, including LLMs and prompt engineering
Hands-on experience with cloud platform AWS
Knowledge of APIs, microservices, and system integration
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
Preferred Qualifications
Awareness of data privacy and compliance best practices (e.g., secure model deployment, PII handling)
Experience with AWS Step Functions for orchestrating AI workflows
Hands-on experience fine-tuning large language models for domain-specific tasks
Strong understanding of text preprocessing techniques in NLP pipelines
AWS & Platform: Bedrock Knowledge Bases, Agents, Guardrails early adoption/integration patterns
Amazon Q or similar copilots in internal tooling contexts
Hybrid retrieval (BM25 + vector fusion, rerankers) or experimentation with multi-vector approaches
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
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Base pay range $70.00/hr - $75.00/hr
Direct message the job poster from Encore Talent Solutions
Senior Information Technology Recruiter at Encore Talent Solutions/Sports Junkie MUST BE ABLE TO WORK W-2-
NO 3RD PARTIES
Job Description We are seeking a AI Engineer to join our dynamic team. In this role, you will play a key part in designing and building agentic workflows and autonomous systems that contribute to the development of intelligent, autonomous solutions driving business value.
You will collaborate with cross-functional teams and stakeholders to deliver high-quality, AI-driven solutions in a fast-paced environment.
Key Responsibilities
Design, build, and maintain agentic workflows and autonomous systems
Develop and integrate AI models into production-grade applications
Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions
Implement orchestration logic for multi-agent systems and task automation
Write clean, scalable, and maintainable code in support of AI initiatives
Monitor and optimize the performance of AI systems in production
Stay current with advancements in AI, LLMs, and agentic architectures
Required Qualifications
Demonstrated experience engineering RAG pipelines and building chatbot applications using LLMs
Familiarity with semantic search and embedding models, including OpenSearch and FAISS
Hands-on experience with MLOps practices, including model training, deployment, monitoring, and lifecycle management
Proficiency with AWS services including SageMaker, Bedrock, Lambda, ECS, EKS, and Step Functions
Software engineering experience, with a strong focus on Python or GoLang
Strong software development skills with proficiency in Python or similar languages
Practical prompt engineering & prompt lifecycle management (versioning, regression testing)
Experience designing and building agentic workflows or multi-agent systems
Familiarity with orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, or similar)
Solid understanding of AI/ML concepts, including LLMs and prompt engineering
Hands-on experience with cloud platform AWS
Knowledge of APIs, microservices, and system integration
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
Preferred Qualifications
Awareness of data privacy and compliance best practices (e.g., secure model deployment, PII handling)
Experience with AWS Step Functions for orchestrating AI workflows
Hands-on experience fine-tuning large language models for domain-specific tasks
Strong understanding of text preprocessing techniques in NLP pipelines
AWS & Platform: Bedrock Knowledge Bases, Agents, Guardrails early adoption/integration patterns
Amazon Q or similar copilots in internal tooling contexts
Hybrid retrieval (BM25 + vector fusion, rerankers) or experimentation with multi-vector approaches
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
#J-18808-Ljbffr