Gen AI Developer- Python, FAST API
Fa Ewmy Saasfaprod1 Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Fa Ewmy Saasfaprod1. Hyderabad · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and launch GenAI applications that use LLMs and current AI frameworks
- Create Python backend services and REST APIs, then keep them running
- Set up RAG and semantic search with vector databases, integrating LLMs into enterprise applications
- Tune prompts and evaluate AI models, then deploy and support the applications on AWS
- Troubleshoot AI systems to improve speed, reliability, scale and cost while working across engineering teams
What you bring
- Three to five years in software engineering, AI/ML or a related technical role, with strong Python skills
- Hands-on experience delivering LLM applications and backend APIs using FastAPI, Flask or Django
- Practical knowledge of RAG, semantic search and vector databases such as Pinecone or OpenSearch
- Experience deploying applications on AWS and integrating AI models or services
- Prompt optimization and AI evaluation experience, plus exposure to NLP
Who this fits
This mid-level role suits a developer focused on production GenAI applications rather than research alone. You’ll work with product, architecture, data science and engineering colleagues across onshore and offshore locations. The position is hybrid in Hyderabad.
From the employer
This role is focused on building real-world GenAI solutions — not just experimentation or research. The candidate should be comfortable writing production-quality code, building APIs, integrating LLMs, and working with modern AI engineering frameworks and cloud platforms.
You will work closely with product managers, architects, data scientists, and engineering teams to develop scalable, secure, and efficient AI-powered applications.
• Design, develop, and deploy Generative AI applications using Large Language Models (LLMs) and modern AI frameworks.
• Build and maintain scalable backend services and REST APIs using Python frameworks such as FastAPI, Flask, or Django.
• Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search solutions using vector databases.
• Integrate commercial and open-source LLMs into enterprise applications.
• Develop prompt engineering workflows and support AI model evaluation and optimization.
• Deploy and support AI applications on AWS cloud platforms.
• Participate in troubleshooting and optimizing AI systems for latency, reliability, scalability, and cost efficiency.
• Collaborate with cross-functional teams across onshore and offshore locations.
• Write clean, maintainable, and testable code following software engineering best practices.
• Participate in code reviews, unit testing, integration testing, and CI/CD processes.
• 3–5 years of experience in software engineering, AI/ML, or related technical roles.
• Strong hands-on programming skills in Python.
• Experience building backend applications and REST APIs using FastAPI, Flask, or Django.
• Practical experience working with Generative AI or LLM-based applications.
• Understanding of Retrieval-Augmented Generation (RAG) concepts and semantic search.
• Experience with vector databases such as Pinecone, OpenSearch, or similar technologies.
• Experience integrating AI models or services such as OpenAI, Anthropic, AWS Bedrock, Hugging Face, or open-source LLMs.
• Experience with AWS cloud services and deploying applications in cloud environments.
• Understanding of software engineering best practices including:
o Unit testing
o Integration testing
o Git/version control
o CI/CD workflows
• Strong debugging, analytical, and problem-solving skills.
• Good communication and collaboration skills.
Must have Qualifications
• Experience with prompt optimization and AI evaluation techniques.
• Exposure to NLP