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