AI Engineer

Responsibilities:

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.

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.

Retrieval, Data& Knowledge

- Standup 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.

- Optimizeretrieval quality (chunking strategies, re-rankers, query rewriting) with offline/online evaluation and A/B tests.

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.

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 (Open Telemetry), metrics (Prometheus), logs(ELK/OPENSEARCH), cost meters per request/model.

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.

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.

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.

Requirements:

- 6+years in software engineering (prod services, not just prototypes), including1+ year leading small projects.

- Strong in one systems language (Python/TypeScript/Go/Java) and comfortable in a second.

- Hands-on with containers, Kubernetes, CI/CD (GitHub Actions/GitLab/Jenkins), IaC(Terraform), and cloud (Azure/AWS/GCP).

- Practical LLM experience: building RAG/agent apps, prompt design, tool-use, and safety patterns.

- Data skills: designing schemas, batch/stream pipelines, and search indexes proficiency with SQL and one vector DB.

- Testing mindset: unit/integration tests, load tests, golden datasets for LLM evals.

- Security basics: secrets, policies, scanning, and least-privilege IAM.

Preferred Qualifications:

- Agent orchestration (LangGraph, Semantic Kernel) and distributed compute (Ray) in production.

- Search/retrieval tuning (BM25 + vector hybrid, re-ranking, query planning).

- Observability at scale with OpenTelemetry cost/perf optimization across model/router layers.

- Experience in regulated or high-throughput domains (e.g., telco, finance, healthcare)multi-tenant and data-residency patterns.

- Domain integrations (SAP/CRM/ITSM), event-driven architectures (Kafka/Debezium), and policy enforcement (OPA/Gatekeeper).

- Familiarity with TM Forum APIs / BSS-OSS patterns is a plus (if in telco context).

Tech Stack(Illustrative)

- Languages: Python, TypeScript/Node.js (plus Go/Java bonus)

- Frameworks: FastAPI/Express, LangGraph/Semantic Kernel, Ray/Celery, Airflow/Prefect

- Storage/Search: Postgres, Redis, S3/Blob pgvector/Pinecone/Weaviate OpenSearch/Azure AISearch

- LLMRuntime: OpenAI/Azure OpenAI/Bedrock/Vertex vLLM/TGI inferencerouters/gateways

- Platform: Docker, Kubernetes, Helm, Argo CD, Terraform, Vault, Istio

- Observability: OpenTelemetry, Prometheus/Grafana, ELK/OpenSearch

- Quality& Safety: pytest/Jest, prompt/unit test harnesses, guardrails, Presidio,Trivy

Interested candidates may send their CV to MAC (Reg No. R1221300) [Confidential Information] quoting the job title in the Subject line. We regret that only shortlisted candidates will be notified.