AI Engineer – Generative AI (9+ Years ) PAN India
Full-Time @Algae Services posted 3 days ago Shortlist Email JobJob Detail
-
Job ID 63645
Job Description
AI Engineer – Generative AI
Job ID: 833240
Salary: ₹18–21 LPA
Location: Bangalore (Preferred) / PAN India – LTIM Office only
Experience: 9+ Years
Nice to Have:
- Experience in Pricing domain, preferably in Healthcare / MedCare
- Hands-on experience building AI-driven pricing solutions
Role Overview
We are looking for an experienced AI Engineer to design, build, and deploy enterprise-grade Generative AI solutions. The role demands strong hands-on execution, end-to-end ownership, and the ability to translate AI capabilities into measurable business outcomes within a regulated enterprise environment.
Key Responsibilities
AI Solution Design & Delivery
- Design and deploy Generative AI solutions using Microsoft AI ecosystem (Power Platform, Copilot Studio, Azure AI Foundry, Azure OpenAI).
- Build enterprise copilots and GenAI applications integrating structured and unstructured data.
- Own delivery from use-case definition to production deployment and monitoring.
- Translate business problems into scalable AI architectures with clear business impact.
Hands-on Engineering
- Develop AI/ML solutions using Python and SQL.
- Implement RAG, prompt engineering, agentic workflows, and LLM fine-tuning.
- Work with open-source GenAI frameworks (Hugging Face, CrewAI, LangChain-style tools).
- Integrate AI services via APIs, data connectors, and vector databases.
Platform, MLOps & DevOps
- Deploy and operate AI solutions on Azure (AWS/GCP exposure acceptable).
- Implement LLMOps / MLOps pipelines, including versioning, monitoring, and evaluation.
- Build and maintain CI/CD pipelines using GitHub and Azure DevOps.
- Ensure solutions are secure, scalable, and production-ready.
Governance & Responsible AI
- Embed Responsible AI, security, and privacy controls into AI solutions.
- Ensure compliance using Microsoft Purview and enterprise governance standards.
- Work with risk, legal, and compliance teams in regulated environments.
Stakeholder Collaboration
- Act as a bridge between business and technical teams.
- Communicate complex AI concepts in clear, actionable terms.
- Provide delivery updates, trade-offs, and recommendations.
Required Skills & Experience
Core Skills
- 9+ years overall experience in software engineering / data science / AI
- 2+ years hands-on experience delivering Generative AI / LLM solutions
- Strong experience with: Power Platform (Power Apps, Power Automate),Copilot Studio / Microsoft 365 Copilot, Azure AI Foundry & Azure OpenAI,Microsoft Purview
- Strong proficiency in Python and SQL
- Experience with prompt engineering, fine-tuning, and model optimisation
AI & Enterprise Readiness
- Strong understanding of LLMs, NLP, and ML fundamentals
- Experience deploying AI solutions in enterprise / regulated environments
- Knowledge of AI governance, security, and compliance frameworks