Full Stack Engineer + AI

Experience: 7+ Years

Notice Period: 15 Days

Work Mode: Hybrid – 3 Days WFO | 2 Days WFH

Essential Skills

• 6+ years of hands-on software development experience, with a strong foundation in building scalable web applications and APIs.

• Proficient in .NET Core, React JS, TypeScript, HTML, JavaScript, and CSS, with a solid understanding of web architecture and front-end/backend integration.

• Skilled in Python for AI/ML development, including traditional machine learning techniques and modern frameworks.

• Experience with cloud technologies, especially AWS (SNS, SQS, Lambda), and familiarity with container systems.

• Strong grasp of MLOps practices and tools such as MLflow, Langfuse, and LlamaIndex, enabling efficient deployment and monitoring of AI models.

• Knowledge of Prompt Engineering, Retrieval-Augmented Generation (RAG), and vector databases (e.g., DynamoDB, Redshift).

• Experience with big data frameworks like Apache Spark, and data formats such as Parquet and Iceberg.

• Comfortable working in Agile environments and applying Test-Driven Development (TDD) methodologies.

• Familiar with source control systems (e.g., Git) and build systems.

• Strong communication skills—able to articulate technical decisions and collaborate effectively with cross-functional teams.

• Self-driven and capable of working independently or as part of a team.

• Passionate about clean code, best practices, and continuous improvement.

• Demonstrates a growth mindset with a willingness to learn new tools and technologies.

Roles & Responsibilities

• Build scalable agentic AI solutions that integrate with existing systems and align with business objectives.

• Implement automated validation of LLM outputs and define performance metrics for AI outcomes.

• Apply ethical AI practices using appropriate tools and frameworks.

• Utilize AWS cloud services including SNS, SQS, and Lambda for AI and system operations.

• Work with big data technologies such as Apache Spark and Vector Databases.

• Collaborate with software engineers to deploy AI models in production, ensuring robustness and scalability.

• Develop monitoring systems to track AI model performance in live environments.

• Participate in research initiatives to explore and apply emerging AI models and methodologies.

• Analyze systems and applications, providing recommendations for enhancements and future development.

• Contribute to the technical design and architecture of system enhancements.

• Lead and support software development efforts across geographically dispersed teams.

• Assist in team management and leadership tasks within collaborative environments.

• Follow structured release and change management processes for software builds and deployments.

• Troubleshoot complex deployment and environment-related issues.

• Prepare and document deployment and configuration scripts for development, test, and production environments.

Qualification

Bachelor’s / Master’s degree in Engineering / Information Systems from an accredited university.

Job Type: Full-time

Pay: ₹1,537,911.12 - ₹3,100,000.92 per year

Work Location: Hybrid remote in Bengaluru, Karnataka