AI Engineer

Allucent

AI Engineer focused on building and maintaining data-driven AI solutions at Allucent. Involves designing applications with Python, FastAPI, and Azure technologies for biopharmaceutical clinical trials.

Posted 7/9/2026full-timeBengaluru • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and deploying scalable AI-driven systems using Python and FastAPI, with a strong focus on integrating Azure technologies and optimizing AI workflows. Proficient in developing microservices and maintaining detailed documentation for AI pipelines and APIs.

Highest-signal resume keywords

Python FastAPIAzure OpenAIAzure Cognitive SearchCosmos DBRAG Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML DevelopmentMicroservices DevelopmentPrompt EngineeringVector SearchEmbedding ManagementGenerative Model Optimization

Tools & Technologies

MS Visual Studio CodeGitAzure DevOpsREST APIsPerplexity

Industry Keywords

Artificial IntelligenceData EngineeringAI IntegrationCI/CD Deployment

Tech Stack

Tools & technologies

AzureJavaScriptMicroservicesNode.jsPythonReact

About the role

Key responsibilities & impact

Architect, develop, and deploy scalable AI-driven systems using Python, FastAPI, and Azure OpenAI.
Build and maintain microservices using Python, FastAPI for AI and data processing workflows.
Design and optimize Retrieval-Augmented Generation (RAG) pipelines integrating Azure Cognitive Search and Cosmos DB.
Integrate advanced search functionalities using Azure Cognitive Search and external search APIs (e.g., Perplexity, Bing Search API)
Utilize MS Visual Studio Code, Git, and Azure DevOps for version control and CI/CD deployment.
Prepare detailed documentation of APIs, workflows, and AI pipelines for maintainability and scalability.

Requirements

What you’ll need

Educational Background: BE, B.Tech, MCA, or MSc in Computer Science, Artificial Intelligence, or Data Engineering.
Experience: 5–8 years of hands-on experience in AI/ML or full-stack development with AI integration.
Technical Expertise: Python FastAPI, Node.js, React, Azure OpenAI, Azure Cognitive Search, Cosmos DB, and RAG pipelines.
Tools & Technologies: MS Visual Studio Code, Git, Azure DevOps, REST APIs, and online AI platforms such as Perplexity.
Knowledge of: Prompt engineering, vector search, embedding management, and generative model optimization.

Benefits

Comp & perks

Comprehensive benefits package per location
Competitive salaries per location
Departmental Study/Training Budget for furthering professional development
Flexible Working hours (within reason)
Leadership and mentoring opportunities
Participation in our enriching Buddy Program as a new or existing employee
Internal growth opportunities and career progression
Financially rewarding internal employee referral program
Access to online soft-skills and technical training via GoodHabitz and internal platforms
Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects
Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees.