AI Engineer

What will you do:

Design, build, and operate production-grade agentic and GenAI systems—end to end. You’ll ship services (not just notebooks): robust APIs, reusable components, and secure pipelines that connect LLMs, tools, knowledge, and enterprise systems. You’ll pair strong software engineering with modern AI practices (RAG, agent orchestration, policy chains, evals) to deliver measurable business outcomes at scale.

1. Agent & Application Engineering

• Design multi-agent systems (MAS) with planning, tool-use, and delegation (e.g., LangGraph/Semantic Kernel); expose them via REST/gRPC APIs (FastAPI/Express/Java/Go).
• Implement tool adapters (SQL, search, document stores, web calls, code exec) with strict type contracts and safe sandboxes.
• Build model gateway integrations (OpenAI/Azure OpenAI/Bedrock/Vertex; self-hosted vLLM/TGI) with routing, rate-limits, retries, and fallback chains.

2. Retrieval, Data & Knowledge

• Stand up RAG services: chunking, enrichment, embeddings, indexing, hybrid/vector search (pgvector/Pinecone/Weaviate; OpenSearch/Azure AI Search).
• Implement ingestion pipelines (Airflow/Prefect/Celery/Ray) for docs, tickets, chat, and ERP/CRM data; handle PII redaction and metadata governance.
• Optimize retrieval quality (chunking strategies, re-rankers, query rewriting) with offline/online evaluation and A/B tests.

3. Quality, Testing & Evaluation

• Treat prompts and graphs as code: version, diff, and test them (unit tests for prompts/tools; golden sets; regression suites).
• Build evaluation harnesses (latency, cost, accuracy, toxicity, hallucination, guardrail hit-rates); wire into CI.
• Add drift detection for conversational systems; implement safe shutdown and auto-rollback.

4. Platform & Operations

• Package services as containers; deploy to Kubernetes with Helm/Argo CD; configure autoscaling, HPA/VPA, and resource quotas.
• Implement policy chains and guardrails (OPA/Gatekeeper for policy, Presidio for PII, Trivy for image scanning).
• Instrument deep observability: tracing (OpenTelemetry), metrics (Prometheus), logs (ELK/OPENSEARCH), cost meters per request/model.

5. Security & Compliance

• Manage secrets (HashiCorp Vault/KMS), signed images, SBOMs; enforce least-privilege IAM.
• Build tenant isolation and data residency controls; implement red/blue team prompts and jailbreak defenses.

6. Integration & Enterprise Workflows

• Ship connectors and events for SAP/CRM/ITSM and Kafka topics; design idempotent, retry-safe processors.
• Automate business workflows with pro-code services first; expose low-code surfaces only where appropriate.

7. Collaboration & Leadership

• Partner with Product, Data, and Platform teams to define SLAs/SLOs and success metrics.
• Mentor engineers on “AI as software” practices; run design reviews and postmortems.