AI Native Full Stack Engineer

AI Native Full Stack Engineer

REMOTE

CVS

LOCATION: REMOTE


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** PLEASE MAKE SURE TO READ THE BELOW IN DETAIL AND PROVIDE THE CORRECT PROFILES**


** THIS MANAGER IS EXTREMELY TOUGH AND PICKY - NEED EXCEPTIONAL COMMUNICATION SKILLS. NO USE OF AI, NEED LEGIT CANDIDATES HERE**

FEEDBACK FROM 1st BATCH:

The profiles you shared are amazing, but as things are evolving a bit here, we need to do some minor course corrections on the nature of profiles we are looking for. Our goal here is to build AI native Applications which will be used in Automation scenarios. Most of these profiles are more suitable for data analytics / data engineering / core ML model refinements etc..

We are looking for four types of engineers which I'd call class I through IV

I: Full stack web development professional who has depth of experience in building Angular Frontend with Python (Fast API) based backends. This engineer should have some experience with ML frameworks, using web services from OpenAI, Google Vertex AI etc.. and deployment knowledge to get his / her application to GCP.

II: Full stack web development professional who has depth of experience in building Angular Frontend with Java (Springboot) based backends. This engineer may or may not have experience with ML frameworks, using web services from OpenAI, Google Vertex AI etc.. but has to for sure have deployment knowledge to get his / her application to GCP.

JOB DESCRIPTION:

You will be responsible for designing, developing, and deploying robust and scalable AI Native Applications that leverage artificial intelligence (AI) and machine learning (ML) services and tools. You bring expertise in full-stack web application development using programing languages like Python and JavaScript frameworks such as Angular C React. You have demonstrated experience of fundamentals of machine learning principles, natural language processing (NLP) and principles of Generative AI.

You must have experience on Google Cloud Platform (GCP) through the entire application life cycle management through development, deployment, telemetry, logging etc.,

Responsibilities:

• Design, develop, and maintain AI Native web applications and/or web services to deliver innovative features and functionalities. Eg:
Retrival Augmented Generation

• Utilize Google Cloud Platform (GCP) services (e.g., AI Platform, Vertex AI, Big Query, Cloud Storage) to build, train, and deploy AI Native Applications.

• Implement and integrate AI/ML models and ML Services into existing applications and systems using Python and JavaScript.

• Collaborate with data scientists, product managers, and other engineering teams to translate business requirements into technical solutions.

• Finetune models on GCP for use case specific needs.

• Conduct model evaluation, testing, and deployment, ensuring high-quality and reliable AI solutions.

• Stay updated with the latest advancements in AI, machine learning, and cloud technologies.

• Working knowledge of Agile Scrum methodologies including document technical designs, processes, and model specifications.

• Leverage Lang Chain, Lang Graph, ADK, and other agent orchestration frameworks.

• Implement prompt engineering, chain-of-thought workflows, and retrieval- augmented generation (RAG) pipelines.

• Develop modular, scalable architectures for AI-powered web apps and APIs.

• Integrate LLMs with enterprise systems, databases, and external services.

• Implement vector databases for semantic search.

• Build connectors for structured/unstructured data ingestion.

• Work closely with automation teams, architects, and product owners to deliver end-to-end AI solutions.

• Document workflows and best practices for AI integration.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 5+ years of experience as an AI Engineer, ML Engineer, or similar role.

• Strong proficiency in Python (mandatory) and familiarity with

JavaScript/Type Script .

• Hands-on experience with Lang Chain
, ADK
, and orchestration frameworks.

• Experience with LLMs (OpenAI, Azure OpenAI, Hugging Face) and prompt engineering
.

• Proficiency in GCP services and SDKs; experience with Azure or AWS is a plus.

• Strong knowledge of FastAPI/Django
, Angular/React
, and ML libraries (Tensor Flow, PyTorch, scikit-learn).

• Familiarity with vector databases (Pinecone, Weaviate, FAISS).

• Experience with containerization (Docker/Kubernetes) and CI/CD pipelines
.

• Good understanding of ML algorithms, deep learning, and statistical analysis.

• Ability to work independently and collaboratively in Agile environments.

• Excellent communication and interpersonal skills.