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POSITION OVERVIEW:

We are seeking a highly experienced hands-on Agile Development Senior Software Engineer (Gen AI) to lead the design and development of cutting-edge Generative AI (Gen AI) Agents, Agentic Workflows, and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Python-based microservices for the orchestration layer deployed to AWS EKS (Kubernetes). You will serve as a hands-on engineer, working alongside Gen AI scientists, product managers, and data engineers to shape and implement enterprise-grade Gen AI solutions. A strong focus on DevOps and automated testing using Gen AI is essential for success in this role.

QUALIFICATIONS:

• Bachelor’s degree in computer science, Computer Engineering, IT or a related field. Advanced studies/degree preferred.
• 5-7 years of experience in software development and Automated QA, with 1+ years of experience with Gen AI based solutions.
• Deep Expertise with Cucumber/Behave, Playwright and DevOps methodologies.
• Deep expertise in Python and microservices architecture.
• Proven experience with cloud-native development, particularly AWS services.
• Strong programming skills and familiarity with AI/ML libraries and frameworks.
• Demonstrated ability to work in cross-functional agile teams.
• Experience with CI/CD practices and DevOps methodologies

KEY RESPONSIBILITIES:

• Develop and implement automated testing frameworks using Gen AI to enhance the reliability and performance of Gen AI Agents, applications and workflows.
• Design and implement scalable Full Stack Gen AI Agents, Agentic Workflows, and applications to address diverse and complex business use cases.
• Design and deploy Python-based microservices for robust orchestration and integration with Gen AI Large Language Models (LLMs).
• Collaborate with Gen AI scientists to integrate machine learning models such as LLMs, RAG, and multi-modal AI into the application architecture.
• Implement solutions leveraging modern design patterns and best practices for full stack development.
• Build and maintain RESTful APIs to enable seamless communication between different system components.
• Collaborate with cross-functional teams of full stack engineers, data engineers and Gen AI scientists to build full-stack Gen AI experiences.
• Integrate Gen AI solutions with enterprise platforms via API-based methods and standardized patterns.
• Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment.
• Lead DevOps initiatives, including CI/CD pipelines, to ensure scalable and efficient deployment of Gen AI applications.

KEYS TO SUCCESS IN THIS ROLE:

Technical Proficiency: Demonstrate deep expertise in Python for creating microservices. Your ability to design and implement scalable solutions will be essential.
Quality and Compliance: Establish and enforce validation frameworks and procedures to ensure production-ready deployment of Gen AI solutions.
Collaboration: Work effectively with Gen AI scientists, UX designers, product managers, and data engineers to build comprehensive Gen AI experiences. Strong communication skills and a team-oriented mindset will be key.
Innovation and Problem-Solving: Employ modern Gen AI based design patterns and best practices to solve complex business problems. Your innovative approach will help integrate Gen AI into application architectures successfully.
Agility and Adaptability: Thrive in a fast-paced, agile environment. Your flexibility and ability to adapt to new challenges and technologies will ensure the continuous improvement of our AI solutions.