AI & Python Developer - Mumbai

Keylabsintelli; Mumbai; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Career growth into Senior roles

Exposure to modern AI and cloud ecosystems

Collaborative and innovative culture

Job summary

Keylabsintelli in Mumbai is looking for an experienced AI Engineer to design and develop scalable AI-powered applications and systems. The role involves collaborating with cross-functional teams to create innovative solutions using Python and AI technologies.

Ideal candidates will have a strong background in software engineering, particularly in AI/ML, and significant experience with cloud-based environments. The position offers growth opportunities and competitive compensation.

Qualifications

• 5–8+ years of experience in software engineering with AI/ML exposure.
• Experience in building scalable backend systems and AI-powered applications.
• Hands-on experience with deployment and cloud-based production environments.

Responsibilities

• Design and develop scalable AI-powered applications using Python frameworks.
• Collaborate with product and business teams for seamless integration.
• Integrate Large Language Models into enterprise applications.

Skills

NLP and document intelligence

LLMs and Prompt Engineering

AI Agents and workflow orchestration

Embeddings and semantic search

Education

BE / BTech / MCA / MTech or equivalent in Computer Science or related discipline

Tools

Hugging Face Transformers

Job description

To design, develop, deploy, and maintain scalable AI-powered applications and backend systems for EduBridge’s in-house digital products and platforms. The role focuses on building intelligent, production-ready solutions using Python, AI/ML, Generative AI, cloud technologies, APIs, and modern deployment frameworks.

The candidate will contribute to the complete product lifecycle — from architecture and development to deployment, optimization, and maintenance — while working closely with product, LMS, AI, and business teams to create innovative learning and workforce solutions.

Job Responsibilities

• Design and develop scalable AI-powered applications, APIs, and backend systems using Python frameworks.
• Build and maintain production-grade AI/GenAI solutions including chatbots, AI assistants, recommendation engines, document intelligence systems, OCR pipelines, and automation workflows.
• Develop and optimize RAG pipelines, vector search systems, embeddings workflows, and AI agent architectures.
• Integrate Large Language Models (LLMs) including Gemini, OpenAI, Claude, or open-source LLMs into enterprise applications.
• Build secure REST APIs and microservices architecture for internal and external platforms.
• Collaborate with frontend, LMS, product, and business teams for seamless product integration and deployment.
• Manage cloud deployment, Docker environments, CI/CD pipelines, and production infrastructure.
• Ensure performance optimization, monitoring, logging, scalability, and system reliability.
• Work on structured and unstructured data processing pipelines including OCR, NLP, and document parsing systems.
• Maintain clean code standards, documentation, version control, and engineering best practices.
• Stay updated with emerging AI technologies, frameworks, deployment models, and software engineering trends.
• Support innovation initiatives and contribute to AI product roadmap discussions.
• Design and build backend services using Python frameworks such as FastAPI, Flask, or Django.
• Develop AI-powered applications using Machine Learning, NLP, and Generative AI technologies.
• Build and optimize RAG architectures using vector databases and embeddings.
• Integrate LLMs and AI services into enterprise workflows and LMS platforms.
• Develop intelligent automation workflows for document processing, evaluation systems, and learner analytics.
• Work with APIs, authentication systems, and secure application integrations.

Deployment & Infrastructure

• Deploy applications on AWS, Azure, GCP, or other cloud platforms.
• Build and manage Docker-based deployment environments.
• Implement CI/CD pipelines for automated deployment and testing.
• Monitor application performance and troubleshoot production issues.
• Ensure scalability, availability, and security of deployed systems.

Collaboration & Product Engineering

• Collaborate with UI/UX, LMS, product, and business teams to understand product requirements.
• Participate in sprint planning, code reviews, architecture discussions, and technical documentation.
• Coordinate with QA and deployment teams to ensure smooth product releases.
• Support continuous improvement and agile product development practices.

Data & AI Integration

• Process structured and unstructured datasets for AI applications.
• Work on OCR, NLP, embeddings, semantic search, and vector indexing workflows.
• Develop intelligent workflows for PDF extraction, automation, and AI-assisted decision systems.

Expected Skills & Competencies

Required Qualifications & Experience

• Education: BE / BTech / MCA / MTech or equivalent in Computer Science, Artificial Intelligence, Data Science, Information Technology, or related discipline.
• 5–8+ years of experience in software engineering with AI/ML exposure.
• Experience in building scalable backend systems and AI-powered applications.
• Hands-on experience with deployment and cloud-based production environments.

Technical Skills

AI / ML / GenAI

• NLP and document intelligence
• LLMs and Prompt Engineering
• AI Agents and workflow orchestration
• Embeddings and semantic search

AI Frameworks & Libraries

• Hugging Face Transformers

Preferred Skills

• Experience with Gemini API, OpenAI API, Claude, or open-source LLM deployment.
• Exposure to EdTech, LMS systems, or workforce skilling platforms.
• Experience in AI-powered automation systems and enterprise AI deployment.
• Knowledge of MLOps and AI monitoring frameworks.
• Exposure to OCR, multimodal AI, or speech-to-text systems is an advantage.
• Strong analytical and problem-solving skills.
• Ability to work in fast-paced product environments.
• Good communication and cross-functional collaboration capability.
• Self-driven, innovation-oriented, and outcome-focused mindset.

Values & Professional Conduct

• Demonstrates integrity and aligns with EduBridge’s core values (RISE – Responsibility, Improvement, Service, Excellence).

What We Offer

• Opportunity to build and scale AI-powered in-house products from the ground up.
• Exposure to modern AI, cloud, and deployment ecosystems.
• Collaborative and innovation-driven engineering culture.
• Opportunity to work on cutting-edge GenAI and enterprise AI solutions.
• Career growth into Senior AI Engineer, Technical Architect, Engineering Lead, or AI Product roles.
• Competitive compensation aligned with industry benchmarks.