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AI ML Developer

AI ML Developer

CoforgeAhmedabad, IN
1 day ago
Job description

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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