Senior AI Engineer

Job Description :

- 4- 6+ years of professional software engineering experience, with at least 3+ years in applied AI / LLM systems.

- Experience working in consulting, platform engineering, or accelerator-style reusable asset development.

- Prior involvement in data-migration, modernization, or analytics engineering programs is a strong plus.

- Strong expertise in LLM-based application development (frameworks such as LangChain, LangGraph, Semantic Kernel, custom orchestration).

- Proven experience with agentic design patterns, including :

1. Multi-step task planning & decomposition

2. Tool-calling / API-driven agents

3. Workflow graphs & supervisory agents

4. Long-running task coordination

- Deep familiarity with context & retrieval design, including :

1. RAG pipelines and embedding strategies

2. Retrieval quality evaluation

3. Grounding and prompt-context isolation

4. Vector stores & document indexing

- Strong software engineering fundamentals :

1. Python (primary) testing, packaging, dependency management

2. Architectural design & code quality best-practices

3. CI/CD and deployment patterns

- Experience designing observability and evaluation loops for AI workflows (telemetry, metrics, regression testing, drift tracking).

- Experience integrating LLM systems with :

1. Data platforms / warehouses

2. Metadata systems and workflow tools

3. REST / Microservices architectures

- Act as a technical leader and architectural partner across accelerator initiatives.

- Coach junior engineers through pairing, reviews, and design walkthroughs.

- Advocate for reusable patterns and forward-compatible designs.

- Contribute to a culture of experimentation, evidence-based iteration, and shared learning.