Revalsys Technologies•1h ago
Indeed
Full-Stack Developer - Python, Dotn...
Hyderabad, Telangana
Full Time
Senior Level
Full Job Description
Revalsys Technologies is seeking a versatile Senior AI/ML Full-Stack Developer for their Hyderabad, Telangana location. This role is focused on leading the design, development, and integration of Generative AI solutions, bridging robust backend engineering with cutting-edge AI implementation. The ideal candidate will take concepts from initial Proofs of Concept (PoCs) to production-ready, scalable Retrieval-Augmented Generation (RAG) applications.
Key Responsibilities
- End-to-End AI Engineering: Architect and build full-stack applications that leverage Large Language Models (LLMs) to solve complex business problems.
- RAG Architecture: Design and optimize Retrieval-Augmented Generation pipelines, ensuring high-quality context retrieval through advanced embedding techniques and vector databases.
- Rapid Prototyping: Drive the innovation cycle by building high-fidelity Proof of Concepts (PoCs) for new AI-powered features.
- API & Backend Systems: Develop high-performance APIs and microservices using Python/FastAPI or Node.js to manage AI inference workflows and data processing.
- LLM Orchestration: Integrate and fine-tune interactions with various LLM providers like OpenAI, Anthropic, or Open Source via HuggingFace, utilizing orchestration frameworks.
Technical Requirements
- AI & LLM Specialization
- Frameworks: Proficiency in LangChain, LlamaIndex, or Haystack.
- Vector Databases: Hands-on experience with Pinecone, Milvus, Weaviate, or ChromaDB.
- Models: Deep understanding of prompting, context window management, and model selection across OpenAI, Claude, and Llama 3.
- Concepts: Solid grasp of semantic search, tokenization, and embedding models.
Full-Stack Engineering
- Backend: Minimum 3 years of experience in Python (FastAPI/Flask) or Node.js. Knowledge of .NET is a strong plus.
- Frontend: Expertise in React.js or Next.js for building responsive, AI-driven user interfaces.
- Cloud & DevOps: Familiarity with Docker and deployment on cloud platforms such as AWS, Azure, or GCP.
- Databases: Experience with both SQL (PostgreSQL) and NoSQL environments.
Preferred Qualifications
- Proven track record of building and deploying AI side projects or commercial PoCs.
- Experience with Agentic Workflows (e.g., CrewAI or AutoGen).
- Strong understanding of AI evaluation metrics and monitoring.
Job Details
Job Type: Full-time
Benefits:
- Health insurance
- Provident Fund
Work Location: In person
Company
Revalsys Technologies
Hyderabad, Telangana
Posted on Indeed