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 highly skilled AI Implementation Engineer. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Key responsibilities

- Build and ship. Implement GenAI features end to end on Azure - RAG pipelines, agents, APIs, and UI integrations - against enterprise systems and data.
- Embed and enable. Work inside the delivery pods: pair with their engineers, remove blockers, and transfer GenAI skills so adoption sticks after you move on.
- Productionize. Add evaluation, observability, guardrails, caching, and CI/CD so prototypes become reliable, cost-efficient services.
- Integrate securely. Connect to enterprise data with correct access control, secrets management, and compliance with enterprise security standards and handling of sensitive data.
- Iterate on quality. Use evaluation results and user feedback to improve grounding, accuracy, latency, and cost.
- Measure. Track delivery and quality metrics that roll up to the program's targets.

Must-have qualifications

- 6+ years in software engineering, with 2+ years building GenAI/LLM applications in production.
- Strong Python (incl. async)



and Java (the primary enterprise application stack; Spring a plus); solid API and systems design.
- Azure GenAI hands-on: Azure OpenAI, Azure AI Foundry, Azure AI Search for RAG, Azure AI Document Intelligence (IDP), and Prompt Flow.
- Agent frameworks: Microsoft Agent Framework / Semantic Kernel / AutoGen (or LangChain / LangGraph) and tool / function calling.
- RAG fundamentals: embeddings, chunking, vector search, reranking, and grounding.
- Data platforms: Snowflake including Cortex AI (Cortex Search, LLM functions) and SQL, for accessing and
- grounding on enterprise data.
- Prompt engineering as versioned code; building and running evaluations.
- DevOps: Azure DevOps / GitHub Actions, Docker, AKS / Azure Functions, and observability.

Preferred

- Financial services or other regulated environments.
- Front-end (React) for AI-assisted UX; streaming and tokenlevel operations.
- Azure AI Content Safety and responsible-AI practices.
- Certification: Azure AI Engineer Associate

WHAT'S ON OFFER:

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and team-oriented work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to [HIDDEN TEXT] Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS:

Consultant Name : Bhawana Sharma

Avensys Consulting Pte Ltd

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys privacy policy.

📌 AI Implementation Engineer (Mumbai)
🏢 Avensys Consulting
📍 Mumbai