AI ML Developer
2 weeks ago
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- 3–8 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.Behavioral Attributes- 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.Education:- 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.Please share profiles to revanth.ragi@coforge.com
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