Senior Manager - Lean Digital Transformation - Generative AI Full Stack Engineer

Inviting applications for the role of Senior Manager, Lean Digital Transformation - Generative AI Full Stack Engineer

In this role, you will be responsible for designing agentic frameworks, developing, and fine-tuning large language models and other generative AI and agentic systems. You will leverage your expertise in prompt engineering, model fine-tuning, building data pipelines for fine tuning the model and cloud-native application development to create innovative solutions that drive business value.

Responsibilities

Design and implement strategies for prompt engineering and model fine-tuning to optimize the performance of large language models and other generative AI systems.

Independently design and build cloud-native applications and pipelines for training, deploying, and serving generative AI models, utilizing cloud platforms like AWS or Azure.

Integrate generative AI capabilities and other AI solutions into existing applications and workflows, enabling enhanced user experiences and automation.

Leverage cloud services such as S3, SNS, queuing systems, and databases to build scalable and efficient AI solutions.

Contribute to UI development efforts, enabling intuitive and user-friendly interfaces for interacting with generative AI systems.

Collaborate with cross-functional teams, including data scientists, machine learning engineers, and product managers, to understand business requirements and translate them into technical solutions.

Participate in code reviews, ensure adherence to coding standards, and promote best practices in software development and cloud-native application design.

Mentor, guide and provide solutioning to junior developers.

Leverage and extend agentic AI frameworks ( LangChain , LangGraph, AutoGen , CrewAI , etc.) to orchestrate reasoning, memory, and tool use.

Connect AI agents to external APIs (SAP, Oracle), databases, ERP / CRM systems, and productivity tools to enable real-world task automation

Implement long-term memory, retrieval-augmented generation (RAG), and vector database integrations for contextual intelligence.

Qualifications we seek in you!

Minimum Qualifications / Skills

Relevant years of experience in IT and hands-on experience with Python &AWS Bedrock / OpenAI services.

Strong programming background in Python, with experience in developing cloud-native applications and integrating with cloud services like AWS or Azure.

Proven expertise in prompt engineering and fine-tuning large language models or other generative AI systems.

Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch , or Hugging Face.

Experience with cloud platforms and services, including S3, SNS, queuing systems, and databases.

Familiarity with UI development frameworks and technologies (e.g., React, Angular, Vue.js).

Ability to design and build generative AI and other AI solutions independently.

Ability to integrate generative AI and other AI solutions into existing systems and applications.

Strong problem-solving and analytical skills, with the ability to break down complex problems and develop efficient solutions.

Excellent communication and collaboration abilities, with the ability to work effectively in cross-functional teams

Preferred Qualifications / Skills

Experience with LLMs (OpenAI, Anthropic, Llama, Mistral, etc.) and prompt engineering

Solid understanding of APIs, microservices, and system integrations.

Knowledge of vector databases (Pinecone, pgvector , FAISS) and RAG pipelines.

Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)