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1–3 jobs· newest first

Lead GenAI Engineer
Citi · Pune, India
On-site · Full-time · Senior
Lead GenAI Engineer
Citi · Pune, India
Full-time
AI Forward Deployed Engineer
Databricks · London, United Kingdom

+10K new in the last hour

Lead GenAI Engineer

Citi · Posted Nov 9, 2026

Pune, Maharashtra, India
On-site
Full-time · Senior
7+ years

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AI

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Vice President level Senior AI Engineer role focused on designing and deploying Generative AI and Agentic AI solutions for the banking sector.

Responsibilities

Design, implement, test, and deploy scalable generative AI applications and agentic workflows for critical banking use cases.
Build end-to-end applications integrating front-end interfaces, backend services, and state-of-the-art LLM tools, APIs, and Model Context Protocol (MCP) integrations.
Champion an agile, MVP-first mindset to rapidly develop Proof of Concepts (POCs), run A/B experiments, iterate based on feedback, and accelerate time-to-value.
Implement evaluation metrics, guardrails, automated testing, and telemetry to benchmark agent behavior, response accuracy, and operational performance.
Collaborate closely with Lead Engineers, Data Scientists, Product Managers, and cross-functional teams; uphold best practices in code quality, automated testing, CI/CD, and peer reviews.

Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related technical field
Nice to have: Experience in banking, financial services, or other highly regulated enterprise environments

Skills

LLMs Prompt Engineering RAG Text2SQL Agentic Platform development LangGraph LangChain AutoGen CrewAI N8N MCP PyTorch TensorFlow Scikit-Learn Pandas NumPy Python FastAPI Flask Django PostgreSQL Oracle MongoDB Vector databases RESTful/gRPC microservices Docker Kubernetes CI/CD Java

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Lead GenAI Engineer

Citi · Posted Nov 9, 2026

Pune, Maharashtra, India
Full-time
7+ years

Apply with RefersoAI Apply on careers page

Senior AI Engineer focused on Generative and Agentic AI solutions for banking.

Responsibilities

Design, implement, test, and deploy scalable generative AI applications and agentic workflows
Build end-to-end applications integrating front-end interfaces, backend services, and LLM tools
Rapidly develop POCs, run A/B experiments, and iterate on feedback
Implement evaluation metrics, guardrails, automated testing, and telemetry
Collaborate with Lead Engineers, Data Scientists, Product Managers, and cross-functional teams

Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related technical field

Skills

Python FastAPI Flask Django PyTorch TensorFlow Scikit-Learn Pandas

AI Forward Deployed Engineer

Databricks · Posted Nov 4, 2026

London, England, United Kingdom
4+ years

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AI Forward Deployed Engineer

Responsibilities

Develop cutting-edge GenAI solutions incorporating the latest techniques from Databricks AI research to solve customer problems
Own production rollouts of consumer and internally facing GenAI applications
Serve as a trusted technical advisor to customers across a variety of domains
Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

Requirements

Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
Nice to have: Databricks Intelligence Platform
Nice to have: Apache Spark™

Skills

GenAI RAG multi-agent systems Text2SQL fine-tuning

vector databases

RESTful API design

event-driven architectures

CI/CD pipelines

Model Context Protocol (MCP)

prompt engineering

LLM parameter tuning

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Apache Spark™

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