Artificial Intelligence Engineer

Overview

About the Role

AI Development & Implementation

• Design and build
• AI-driven features
• for existing and new products
• Integrate
• Azure AI services
• , including:
• Azure OpenAI (LLMs, copilots, chatbots)

• Azure AI Search / Vector Search

• Develop intelligent modules such as:
• Document processing (OCR + classification)

• Conversational AI (chatbots/copilots)

• Recommendation and prediction engines

Research & Prototyping (Critical)

• Explore emerging
• AI tools, frameworks, and trends
• Build
• POCs to validate AI use cases
• Partner with leadership to identify
• high-impact AI opportunities
• Work on
• prompt engineering and agent-based workflows

Product Integration & Engineering

• Build and expose AI capabilities via
• APIs / microservices
• Integrate AI modules with existing
• .NET / Angular product stack
• Ensure
• scalability, performance, and secure implementation
• Work on
• AI workflow orchestration (multi-step intelligent pipelines)

Data & AI Pipeline Management

• Process
• structured and unstructured data
• Work with
• embeddings, vector databases, and semantic search
• Design pipelines for
• AI model input/output handling
• Ensure
• data quality, governance, and security

Collaboration & Delivery

• Work closely with
• Product Managers, BAs, and Engineering teams
• Participate in
• Agile ceremonies (sprint planning, grooming, reviews)
• Contribute to the
• AI roadmap and feature prioritization

Innovation & Learning

• Stay updated with the
• Azure AI ecosystem and advancements
• Identify opportunities to enhance product efficiency using AI
• Support
• internal AI adoption and innovation initiatives

Must-Have Skills

• Strong programming in
• Python or C#
• Experience with
• backend/API development
• Understanding of
• AI/ML fundamentals (NLP, embeddings, LLMs)
• Exposure to

Azure Cloud (App Services, Functions, Storage)

• Knowledge of
• REST APIs & microservices architecture
• Hands-on or conceptual exposure to:
• Azure OpenAI / LLM integrations
• Prompt engineering basics
• Vector databases / semantic search

Good-to-Have

• Experience with
• LangChain / Semantic Kernel / AI orchestration frameworks
• Exposure to:
• Document AI / OCR solutions
• Chatbot / copilot development
• Agent-based workflows / automation
• Familiarity with
• CI/CD and DevOps practices

Key Performance Indicators (KPIs)

• Successful delivery of
• AI-powered features into production
• Quality and scalability of
• AI integrations
• Effectiveness of
• POCs and innovation initiatives
• Performance improvement in
• AI-driven workflows
• Contribution to
• AI roadmap and product impact

Education & Experience

• Bachelor’s degree in

Computer Science / IT / Engineering

• **2–5 years**
• of experience in software development or AI/ML roles
• Experience in
• product or SaaS environment preferred
• Exposure to
• real-world AI/ML use cases or implementations

Core Competencies

• **Problem Solving:**
• Strong analytical and debugging skills
• **Collaboration:**
• Works well in cross-functional teams
• **Communication:**
• Clear articulation of technical concepts
• **Ownership:**
• Accountability for modules and deliverables
• **Learning Agility:**
• Fast learner with strong curiosity in AI

Why Join Us

• Work on
• cutting-edge AI products and real-world use cases
• Opportunity to build
• LLM-powered applications and copilots
• High exposure to
• product innovation and AI roadmap
• Collaborative, fast-growing, and
• innovation-driven environment
• Call to Action
• If you are passionate about building
• AI-first products
• and working on the
• latest AI technologies like Azure OpenAI and LLMs
• , we’d love to connect with you!
• Apply now or share your profile at
• ram.gor@analytix.com