Senior Generative AI Applications Engineer Prompt, RAG Vertex AI

Digially

4 - 9 years

9 - 18 Lacs

thane mumbai (all areas)

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Skills Required

aws bedrock prompt engineering generative ai langchain vertex ai vector database aws sagemaker retrieval augmented generation python

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Job Type

Full Time

Job Description

DigiAlly

Senior Generative AI Engineer

Key Responsibilities:

Design & optimize LLM
prompts and context flows
for fintech use cases.
Build
retrieval-augmented generation (RAG)
systems using LangChain, LangFlow, Semantic Kernel.
Integrate GenAI outputs with
structured ML signals
(fraud detection, risk scoring).
Develop internal GenAI UIs using
Streamlit, Gradio
, or integrate with
React.js
frontends.
Support deployment via
AWS (Lambda, S3, API Gateway, EC2)
for scalable delivery.
Participate in
prompt testing, evaluation loops
, and ensuring
LLM safety & grounding
.

Required Skills:

2+ years hands-on experience with
LLMs, GenAI tools
, or prompt/RAG engineering.
Strong programming in
Python
, and exposure to
LangChain / LangFlow / Semantic Kernel
.
Platform experience:
Amazon Bedrock
,
Google Vertex AI
,
OpenAI
, or
Claude APIs
.
Knowledge of
Vector DBs
(Pinecone, FAISS) and embedding pipelines.
API integration with
Flask/FastAPI/Node.js
; familiarity with
React
is a plus.
Strong communication, debugging, and product-collaboration mindset.

Preferred Skills (Bonus):

Frontend prototyping using
Streamlit
or
Gradio
Experience with
chatbot frameworks
or
code/document automation via GenAI
Understanding of
Mermaid, AST parsing
, or diagram generation for code assistants
Familiarity with
DevOps basics
, version control, and
CI/CD
pipelines

Education:

B.Tech/B.E. in Computer Science / Engineering / AI-ML / Related Field
M.Tech / M.Sc / MCA preferred (not mandatory)

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