Specialist - Data Sciences

Role description

Job Summary

We are seeking a highly skilled GenAI Engineer who combines deep expertise in Generative AI with strong handson experience across the Software Development Lifecycle SDLC having strong understanding of DevOps pipelines deployment and microservicesbased architectures This role is critical to ensuring that GenAI solutions are not only innovative but also productiongrade scalable and maintainable

Key Responsibilities

Handson experience with Python LangChain and LangGraph

Ability to build RAG applications from scratch

Design develop and deploy GenAIpowered applications using LLMs embeddings vector databases and prompt engineering

Build Agentic AI systems capable of autonomous task execution decisionmaking and multistep reasoning using frameworks like LangChain Agents AutoGPT or OpenAgents

Should have good understanding of all MLAI models Classification Regression Reinforcement CNN

Should have implemented Test cases Test datasets for ensuring correct accuracy for the models

Collaborate with crossfunctional teams to integrate GenAI features into microservicesbased enterprise systems

Ensure adherence to SDLC best practices including requirements gathering design development testing deployment and maintenance

Good to Have Implement and manage CICD pipelines infrastructureascode and automated testing frameworks

Maintain high standards of code quality including code reviews unit testing and code coverage metrics

Work with API gateways RESTful services and secure API integrations

Monitor and optimize performance reliability and scalability of GenAI services in production

Collaborate with DevOps teams to ensure smooth deployment and versioning of AI models

Stay updated with the latest in GenAI LLMs and software engineering practices

Required Skills Qualifications

Strong programming skills in Python including LangChain Transformers OpenAI APIs etc

Solid understanding of software engineering principles and Good to have design patterns

Experience with SDLC tools JIRA Git BitbucketGitHub Jenkins SonarQube etc

Good to have Working knowledge in DevOps tools Docker Kubernetes CICD

Experience with microservices architecture API design SwaggerOpenAPI and service orchestration

Familiarity with code quality tools and practices unit testing Pytest

Exposure to vector databases and RAG pipelines

Strong problemsolving and debugging skills

Soft Skills

Strong communication and collaboration skills

Ability to work in agile fastpaced environments

Ownership mindset and a passion for building impactful solutions