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Lead - Generative AI Integration Developer
About Job
We are seeking a talented full-stack engineer with hands-on expertise in Foundation Models and Large Language Models (LLMs), and a deep understanding of AI integrations. The ideal candidate will play a pivotal role in developing interfaces for generative AI agents, seamlessly integrating LLMs into systems, and fine-tuning prompts to optimize outputs for specific use cases. Key responsibilities include building AI-powered interfaces, working with APIs like OpenAI and Claude, designing Python-based microservices using Flask or Django, and collaborating across teams. The role also involves optimizing AI performance, leveraging AWS Bedrock models, managing Lambda functions, and automating data pipelines for AI-driven solutions.
Job Description
Key Responsibilities:
- Develop and integrate LLMs (e.g., OpenAI, Claude, Titan) using APIs.
- Design and build AI-powered interfaces and agents for seamless user interaction.
- Implement prompt engineering techniques to optimize AI responses.
- Work on Python-based microservices using Flask, Django, or similar frameworks.
- Collaborate with cross-functional teams to deploy AI solutions.
- Monitor and optimize AI performance using analytics tools.
- Stay updated with the latest trends in Generative AI and NLP
- API Development & Integration: Design, develop, and integrate APIs within the AWS environment, ensuring seamless communication between AI models and applications.
- AI Model Utilization: Leverage AWS Bedrock models for generative AI tasks, optimizing performance and accuracy in AI-driven solutions.
- Data Management & Processing: Work with diverse data sources, including S3 buckets, databases, and Excel files, to store, retrieve, and process structured and unstructured data.
- AWS Lambda Function Management: Develop, deploy, and manage AWS Lambda functions to execute AI workflows efficiently in a serverless environment.
- Frontend API Development: Build and optimize APIs for frontend consumption, enabling real-time interaction between user interfaces and backend AI functionalities.
- Automation & AI Execution: Automate data processing pipelines, execute Python scripts, and process AI model prompts to enhance efficiency, scalability, and reliability of AI applications.
Salary- Best in Industry
Job Location- South India
Job Details
- Industry
- Technology & Services
- Segment
- AI, ML & Data Analytics
- Job Level
- Senior Management
- Salary
- Experience
- 5 - 15 (in years)
- State
- Andhra Pradesh
- Country
- India
- Reporting To
- Company Name
- Transforming finance functions into strategic, growth-focused partners through innovative solutions.
- Company Size
- 101-500