It Technology Lead Analytics Packages Python

POC - Diksha

Job Details:

Job title: Technology Lead | DevOps | Continuous integration - Java
Work Location with Zip code: Phoenix,AZ (Fort worth, TX /Phoenix, AZ/ Charlotte, NC/ Detroit, Michigan)
Duration of the project: 6 Months
This role requires any travel (Yes/No): NO
Please confirm if this would be onsite from day one OR Initial remote for 2-3 months, and then expect the candidate to work from the office OR 100% Remote: Onsite from day 1
Is this a 100% remote role? NO
Vendor rate range: ####
Minimum years of experience required: 8-10 years
Would you require the candidates to meet you for an in-person interview? Yes
Education Qualification required: Bachelor s / Masters
Must have skills:
GenAI | Python | LLMs | React/Angular

Generative AI & LLMs
Hands-on experience with OpenAI, Azure OpenAI, Anthropic Claude, Gemini, Llama, or similar LLM platforms.
Strong understanding of Prompt Engineering, RAG Frameworks, Embeddings, Vector Databases, Fine-Tuning Concepts, AI Agents and Agentic Workflows.
Experience with LangChain, LangGraph, LlamaIndex and Semantic Kernel.

Backend Development
Strong programming skills in Python.
Experience with FastAPI, Flask and Django.
Knowledge of API development, microservices, and asynchronous programming.

Frontend Development
Strong hands-on experience with React.js or Angular.
Proficiency in TypeScript/JavaScript, HTML5, CSS3 and Redux/State Management.

Database & Search Technologies
SQL: PostgreSQL, MySQL.
NoSQL: MongoDB.
Vector Databases: Pinecone, ChromaDB, FAISS and Azure AI Search.

Cloud & DevOps
Experience with Azure, AWS, or GCP.
Knowledge of Docker, Kubernetes, GitHub Actions / Azure DevOps and CI/CD Pipelines.

Detailed Job Description:
1. Develop and deploy enterprise-grade applications leveraging Generative AI and LLMs.
2. Design and implement intelligent conversational systems, copilots, chatbots, and AI assistants.
3. Build scalable backend services using Python (FastAPI, Flask, Django).
4. Develop responsive and user-friendly applications using React.js or Angular.
5. Implement RAG (Retrieval-Augmented Generation) architectures using vector databases and enterprise knowledge sources.
6. Integrate LLM services such as OpenAI, Azure OpenAI, Claude, Gemini, or Llama models into business applications.
7. Create and optimize prompts, embeddings, and AI workflows for improved accuracy and performance.
8. Develop REST APIs and microservices for seamless frontend-backend integration.
9. Collaborate with product managers, architects, and cross-functional teams to translate business requirements into AI-driven solutions.
10. Follow best practices in software engineering, testing, security, and CI/CD.
Relevant Experience on Mandatory Skills: 8-10 years
Education: Bachelor s / Masters
The top 3 responsibilities would expect the Subcon to shoulder and execute:
Airlines domain exp, in-person interview, Airlines and Finance exp is added advantage

Project Code: BPE