Sr Software Engineer (MLNLPAI Backend engineer 4to6yrs Chennai)

About the Role:

We are seeking a Senior AI Engineer specializing in backend and platform development to design build and optimize scalable AI-driven this role you will leverage your expertise in Python cloud-native services and machine learning to architect robust backend solutions and intelligent platforms. You will work closely with cross-functional teams to integrate advanced AI models automate workflows and deliver high-impact solutions that drive business value and operational excellence.

Key Responsibilities:

• Design develop and deploy scalable backend systems for AI-powered applications using Python and cloud providers (AWS Azure).

• Design and implement Model Context Protocol (MCP) servers to enable seamless integration between AI agents enterprise systems and external tools

• Design and implement APIs and microservices to support machine learning workflows real-time inference and data integration.

• Integrate machine learning and generative AI models (LLMs multimodal models) into backend services and business applications.

• Explore and create POC of AI/ML technologies and frameworks

• Setting up best practices for coding standards w.r.t. AI/ML applications

• Build and maintain data pipelines ETL/ELT processes and event-driven architectures to enable seamless data flow and model training.

• Develop automation tools and scripts for model lifecycle management monitoring and continuous integration/continuous deployment (CI/CD).

• Collaborate with data scientists ML engineers and platform teams to deploy monitor and optimize AI models in production environments.

• Ensure high availability scalability and security of backend services and AI platforms.

• Research and evaluate emerging AI technologies to drive innovation and improve system performance.

Required Qualifications:

• 4 to 6 years of experience with 2 years of relevant experience building conversational AI systems chatbots LLM applications or other advanced machine learning/artificial intelligence solutions to drive business impact

• Advanced proficiency in Python for backend and AI development.

• Hands-on experience with cloud services (AWS Azure).

• Strong knowledge of machine learning model development deployment and monitoring.

• Experience building APIs and microservices (FastAPI Flask or similar frameworks).

• Familiarity with data pipeline architectures ETL/ELT workflows.

• Experience with CI/CD tools and practices (Azure DevOps AWS DevOps or similar).

• Working experience in some of the following areas:

• - Large Language Models (LLMs) and Generative AI

• - Conversational AI chatbot development and dialogue systems

• - Search and Recommendation systems

• - Prompt engineering LLM fine-tuning and model optimization

• - AI agent architectures and orchestration

• Excellent problem-solving analytical and communication skills.

Preferred Qualifications:

• Experience with MLOps tools (MLflow SageMaker Bedrock) and workflow orchestration frameworks (Airflow Prefect).

• Hands-on experience integrating generative AI and conversational AI interfaces.

• Knowledge of vector databases and retrieval-augmented generation (RAG) architectures.

• Cloud certifications (e.g. AWS Certified Solutions Architect Machine Learning Specialty).

• Experience working in agile cross-functional teams.

Who You Are:

• Strategic thinker with a passion for building intelligent scalable backend systems.

• Effective collaborator who thrives in dynamic fast-paced environments.

• Committed to continuous learning and staying current with emerging AI technologies.

• Detail-oriented and dedicated to delivering high-quality reliable solutions.

Dont meet every single requirement We encourage you to apply anyway. You might be the right candidate for this or other roles.

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