AI ML Developer

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