Sr. Developer/AI-ML Developer or Engineer

• 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.

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.

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.

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 junior 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.

We are looking for a Senior Developer with strong expertise in AI/LLM technologies, Python, Delta Lake and Azure Databricks (ADB) 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., 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

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

DevOps & Engineering

• CI/CD pipelines (Azure DevOps, GitHub Actions)
• Git version control
• Containerization (Docker preferred)
• Infrastructure-as-code concepts (Terraform/Bicep - preferred), * 14+ Years of IT experience with 5+ years 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