AI Software Engineer

AVENSYS CONSULTING PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading IT services company in Singapore is seeking an AI Software Engineer to design and operate advanced AI systems. The role requires strong software engineering skills with experience in languages like Python and familiarity with Kubernetes and CI/CD processes. The ideal candidate will collaborate with cross-functional teams and mentor junior engineers. This position offers an opportunity to work on impactful projects and enhance your career in a supportive environment.

Qualifications

• 1+ years in software engineering and leading projects.
• Strong proficiency in one systems language and comfort with another.
• Hands-on experience with containers and cloud services.

Responsibilities

• Design, build, and operate production-grade AI systems.
• Implement ingestion pipelines for varied data.
• Mentor engineers on AI software practices.

Skills

Software engineering

Python

Kubernetes

CI/CD

LLM experience

SQL

Tools

Docker

GitHub Actions

Terraform

Job description

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire an AI Software Engineer. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Job Type

Long Term Contract

Job Scope

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.

Qualifications

The ideal candidate should possess:

• 1+ years in software engineering (prod services, not just prototypes), including 1+ 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 AI Search
• LLM Runtime: OpenAI/Azure OpenAI/Bedrock/Vertex; vLLM/TGI; in ferencerouters/gateways
• Platform: Docker, Kubernetes, Helm, Argo CD, Terraform, Vault, Istio
• Observability: OpenTelemetry, Prometheus/Grafana, ELK/OpenSearch

To submit your application please email your CV to Khalid Farooq at [e-mail].

Consultant Details

Consultant Name: Khalid Farooq

Avensys Consulting Pte Ltd

EA Licence 12C5759

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