Avensys is a reputed global IT professional services company, and our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. And we service a client base across banking and financial services, insurance, information technology, healthcare, retail, and supply chain.

We are currently looking for 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
1. Build and ship. Implement GenAI features end to end on Azure - RAG pipelines, agents, APIs, and UI integrations - against
enterprise systems and data.
2. 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.
3. Productionize. Add evaluation, observability, guardrails, caching, and CI/CD so prototypes become reliable, cost-efficient
services.
4. Integrate securely. Connect to enterprise data with correct access control, secrets management, and compliance with
enterprise security standards and handling of sensitive data.
5. Iterate on quality. Use evaluation results and user feedback to improve grounding, accuracy, latency, and cost.
6. 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 (CortexSearch, LLM functions) and SQL, for accessing and grounding on enterprise data.
Prompt engineering as versioned code; building and runningevaluations.
DevOps: Azure DevOps / GitHub Actions, Docker, AKS /Azure Functions, and observability.

WHAT'S AN OFFER
You will be remunerated with an excellent base salary and entitled to attractive company perks. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

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

CONSULTANT DETAILS
Consultant Name: Meenakshi
Reg No: 201201037177
Avensys Consulting Sdn Bhd

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