Generative AI Application Developer
CoforgeHyderabad, Republic Of India, IN2 days ago
Job description3–8 years of experience in Python-based full-stack / backend development (FastAPI, Flask, Django). (3-5 Engineers & 5-8 Sr Engineers) Solid understanding of AI / ML fundamentals , especially in prompt engineering , LLM APIs , vector databases (Chroma / FAISS / OpenSearch) , and Graph Databases (Neo4j) . Experience implementing microservices , REST APIs , and async I / O architectures. Proficiency in CI / CD , containerization (Docker / Podman) , and cloud deployments (Azure / AWS) . Experience with test frameworks (PyTest, Robot, Playwright, Selenium). Exposure to RAG architectures , embedding models , and LangChain / LangGraph frameworks preferred. Knowledge of data security , API governance , and model observability is an advantage. Passionate about AI-driven innovation in QE. Strong analytical and problem-solving mindset. Self-driven, adaptable to emerging tools and technologies. Comfortable working in an agile, cross-functional environment. B.Tech / M.Tech / MCA or equivalent degree in Computer Science or related field. Certifications in AI / ML , Cloud (Azure / AWS) , or Testing Tools preferred.
Key Responsibilities
- Design and develop backend microservices using FastAPI / Uvicorn , following SOLID principles and modular design.
- Implement and optimize AI workflows including RAG / Graph RAG pipelines , Neo4j knowledge graphs , and LLM-based agents for test generation and analysis.
- Integrate multi-model orchestration (OpenAI, Anthropic, Azure AI, Gemini, Claude) with dynamic model selection and token efficiency.
- Enhance context management modules supporting multiple data sources (Confluence, SharePoint, Excel, PDFs, Images, and APIs).
- Develop and maintain test generation, regeneration, and automation script creation pipelines.
- Implement observability and telemetry for model performance, API throughput, and agentic decision tracking.
- Collaborate with product architects and data scientists to improve model determinism, reduce hallucination, and ensure explainable outputs.
- Contribute to DevOps pipelines (Azure DevOps / AWS Code Pipeline) for build, test, and deploy automation.
Key Skills & Experience
Behavioral Attributes
Education :
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Ai Application Developer • Hyderabad, Republic Of India, IN
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