Negotiable
Undetermined
Undetermined
Remote
Summary: The role of AI Engineer with Agentic AI experience focuses on developing applications powered by large language models (LLMs) and requires extensive experience in software engineering, particularly with Python, Java, and TypeScript. Candidates must have a strong background in building production tools, designing distributed systems, and working with cloud platforms. The position is available for a 12-month contract and is open to candidates with over 15 years of relevant experience. The role is remote, hybrid, or onsite across multiple locations.
Key Responsibilities:
- Develop and maintain LLM powered applications in production.
- Design distributed systems and APIs using REST, RPC, and event-driven patterns.
- Implement data engineering practices including SQL data modeling and feature engineering.
- Utilize cloud platforms and container orchestration tools.
- Write clean, testable, and secure code while participating in code reviews.
- Work with multiagent systems and autonomous workflow execution.
- Engage with vector databases and knowledge graphs.
- Conduct model evaluations and testing methodologies.
Key Skills:
- Proficiency in Python, Java, Go, and TypeScript.
- Experience with Codex and building LLM applications.
- Knowledge of agent frameworks like Lang Graph and Semantic Kernel.
- Familiarity with RAG tooling and embedding pipelines.
- Understanding of observability tools and data systems.
- Experience with unit and integration testing for tools.
- Hands-on knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
- Ability to design and implement data quality measures.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Must Have:
- Strong software engineering fundamentals and proficiency in #Python_plus #Java_Go #TypeScript is a strong plus
- Experience of working with #Codex.
- Proven experience building #LLM powered applications in production tool calling function, calling structured outputs retrieval and evaluation.
- Experience designing distributed systems and APIs REST, RPC plus event driven patterns Kafka, SQS, Pub Sub.
- Solid understanding of data engineering basics SQL data modeling feature engineering and data quality
- Hands on knowledge of cloud platforms #AWS or #Azure or #Google Cloud Platform containers, #Docker and #orchestration #Kubernetes preferred.
- Ability to write clean testable secure code comfortable with code reviews and engineering rigor
- Experience with multiagent systems planning verification and autonomous workflow execution
- Experience with vector databases hybrid search and knowledge graphs
- Familiarity with model evaluation offline evals golden datasets adversarial testing regression harnesses and AB testing.
Technical Skills:
- Agent frameworks #Lang #Graph Semantic Kernel similar orchestration frameworks or equivalent custom implementations
- RAG tooling embedding pipelines hybrid retrieval reranking chunking strategies citation provenance
- Observability Open Telemetry structured logging dashboards ing
- Data systems OLTP analytics warehouses lakes streaming pipelines feature stores optional
- Testing unit integration tests for tools replay tests for agent traces eval harnesses for LLM outputs
Additional Information
- If this opportunity interests you, please share your updated resume and Share
- #LinkedIn profiles(#Mandatory)
“Cleo Consulting is an equal opportunity employer (Minorities/Women/Veterans/Disabled)”