Note: The job is a remote job and is open to candidates in USA. CTG is seeking a Technical Consultant to support a client’s AI integration and agent automation initiatives. The role involves building and refining AI agents, assistants, RAG workflows, and automated processes, while supporting data preparation, API integration, quality assurance, observability, and performance optimization.
Responsibilities
- Build, configure, and refine AI agents, assistants, and automated workflows using ICA, WXO, or similar platforms
- Develop agents for use cases such as idea parsing, assumption extraction, partner matching, pilot planning, and analytics summarization
- Create and optimize prompt templates, few-shot examples, guardrails, and RAG workflows
- Prepare RAG context packs and vector schemas using metadata such as topic, source, and timestamp
- Configure connectors and develop basic scripts for agent actions and workflow automation
- Establish processes for data sourcing, ingestion, cleansing, masking, and preparation
- Perform human-in-the-loop QA and tune agents based on pilot feedback
- Maintain agent artifacts, prompt libraries, RAG knowledge slices, QA results, and tuning documentation
- Support API integration, workflow orchestration, observability, performance tuning, and cost optimization
Skills
- AI agent, assistant, and workflow development using ICA, WXO, watsonx, OpenAI, or similar platforms
- RAG, embeddings, semantic search, vector schemas, and managed embedding providers
- LLM prompt engineering, few-shot prompting, text cleaning, and guardrails
- Data sourcing, ingestion, masking, and transformation
- Connector configuration, API integration, workflow automation, and basic scripting
- Human-in-the-loop QA, LLMOps, observability, and responsible AI practices
- Hands-on experience building and refining AI agents, assistants, RAG solutions, and automated workflows in enterprise environments
- Experience with ICA or similar agent platforms, including prompt tuning, connector configuration, agent actions, and iterative QA
- Experience integrating AI services with enterprise applications using APIs, connectors, and workflow orchestration
- Experience with data preparation, embeddings, semantic search, vector-based knowledge retrieval, and LLM prompt optimization
- Familiarity with watsonx, OpenAI, WXO, managed embedding services, and responsible AI practices
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience
- Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required
Benefits
- A competitive benefit package is also offered.
- Remote
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