AI Engineer

• *Job Information**
• ------------------

• Date Opened 08/19/2026
• Job Type Any
• Years of Experience 8 \- 10 Years
• Domain FMCG/Foods/Beverage
• City Chennai
• State/Province Tamil Nadu
• Country India
• Zip/Postal Code 600001
• *Job Description**
• ------------------

• *AI Developer – Azure Databricks, Python, Java, Microservices \& AI (LLM/Copilot or Equivalent )**

• *Job Summary**

We are looking for a **AI Developer** with strong expertise in **Python**, **Azure Databricks (ADB)**, **Delta Lake**, and **AI/LLM technologies** to design and build **Databricks jobs, reusable scripts, and cloud\-native microservices**. The role requires hands\-on experience with **Copilot agentic mode (or equivalent)**, building **LLM\-driven AI use cases**, and the ability to **work independently by taking full ownership of deliverables without the need for micromanagement**.

• *Roles and Responsibilities**

• *Azure Databricks \& Data Engineering**

• Design, develop, and manage **Azure Databricks jobs**, workflows, and notebooks.
• Build reusable **Python/PySpark scripts** for data ingestion, transformation, and analytics.
• Implement **Delta Lake–based lakehouse architectures** with ACID transactions and versioning.
• Optimize Databricks workloads for **performance, scalability, and cost efficiency**.
• Implement batch and streaming pipelines using Databricks.

• *Microservices \& Application Development**

• Develop **Python\-based microservices** to expose data and AI capabilities via APIs.
• Build and integrate RESTful services for data access, AI inference, and orchestration.
• Ensure secure, scalable, and resilient service design using cloud\-native patterns.
• Drive development tasks independently, from design through deployment, with minimal supervision.

• *AI, LLMs \& Copilot Agentic Mode**

• Design and build **LLM\-powered AI use cases** such as copilots, intelligent assistants, and automation agents.
• Implement **Copilot agentic mode** workflows, including tool calling, task planning, and multi\-step reasoning.
• Develop **prompt engineering strategies**, system prompts, and guardrails for enterprise use.
• Integrate LLMs with Databricks, data lakes, and microservices for real\-time and batch inference.
• Build **RAG (Retrieval\-Augmented Generation)** pipelines using enterprise data.
• Evaluate, fine\-tune, and monitor LLM performance, accuracy, and cost.

• *Architecture, Governance \& Best Practices**

• Contribute to **solution architecture** and technical design decisions.
• Ensure data security, governance, and compliance in data and AI solutions.
• Implement logging, monitoring, and observability for Databricks jobs and AI services.
• Perform code reviews and enforce engineering best practices.

• *Leadership \& Collaboration**

• Mentor peer developers and provide technical guidance when needed.
• Collaborate effectively with data scientists, architects, DevOps teams, and business stakeholders.
• Clearly communicate technical concepts, progress, and risks through **excellent verbal and written communication skills**.
• Take full ownership of assigned workstreams and drive them to completion without requiring micromanagement.

• *Required Technologies \& Skills**

• *Programming \& Frameworks**

• **Python (advanced)**
• **PySpark / Spark SQL**
• REST APIs and microservices frameworks (FastAPI, Flask, etc.)

• *Azure \& Data Platforms**

• **Azure Databricks (ADB)**
• **Delta Lake**
• Azure Data Lake Storage (ADLS Gen2\)
• Azure cloud services and security fundamentals

• *AI / LLM \& Copilot**

• Hands\-on experience with **LLMs** (Azure OpenAI, OpenAI, or similar)
• Experience building **Copilot solutions and agentic workflows**
• Prompt engineering and orchestration frameworks (LangChain, Semantic Kernel, etc.)
• Experience with **RAG architectures**, vector databases, and embeddings
• Understanding of AI safety, guardrails, and responsible AI practices

• *DevOps \& Engineering**

• CI/CD pipelines (Azure DevOps, GitHub Actions)
• Git version control
• Containerization (Docker preferred)
• Infrastructure\-as\-code concepts (Terraform/Bicep – preferred)

• *Preferred Qualifications**

• 8 to 10 years of experience in **Python, data engineering, or backend development**
• Proven experience delivering **production\-grade AI/LLM solutions**
• Experience in enterprise\-scale cloud environments
• Exposure to streaming platforms (Kafka, Event Hubs – preferred)

• *Soft Skills**

• **Excellent verbal and written communication skills**
• Strong sense of ownership and accountability
• Ability to work independently and proactively drive outcomes
• Strong problem\-solving and analytical skills
• Collaborative mindset with leadership capabilities