Lead GenAI Engineer (Application Development) Job at NorthBay (Lahore)

GenAI Engineer

We are seeking a talented and experienced Generative AI Engineer to lead the dev...

Location

Portugal , Lisbon

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven experience in Machine Learning, Generative AI, or related fields
Strong leadership and communication skills
Advanced knowledge of integrating Generative AI into cloud infrastructures
Ability to design and implement AI strategies at scale
Proficiency in Python and relevant ML libraries
Experience with LangChain, Semantic Kernel, Hugging Face Transformers
Familiarity with Apache Lucene/Solr/LuceneSearch
Experience building applications with LLMs on Microsoft Azure (GPT-4o, o3)
Use of Azure OpenAI models (GPT-3.5 Turbo, GPT-4)
Experience with Azure AI Services (genai-ltst, gpt-4o-mini-realtime-preview)

Job Responsibility

Independently develop GenAI-based applications tailored to product requirements
Implement scalable and high-performance AI solutions
Integrate AI applications with existing internal systems
Lead and collaborate with cross-functional teams to drive AI strategy and execution

What we offer

Inetum certified Top Employer Europe 2025
Opportunity to grow your expertise
Create digital impact quickly, easily and for the good of all

Fulltime

Senior Technical Engineering Lead

The Digital S/W Eng Lead Analyst is a strategic professional who stays abreast o...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6-10 years of relevant experience in an Apps Development role or senior level experience in an Enterprise Architecture role with subject matter expert in one or more areas
Expertise in all aspects of technology by understanding broader patterns and techniques as they apply to Citi's internal and external cloud platforms (AWS, PCF, Akamai)
Advanced knowledge of algorithms, data structures, distributed systems, networking
Knowledge on automating code quality, code performance, unit testing, and build processing in the CI/CD
Bachelor's/University degree, Master's degree preferred
Hands on Experience with Java, Springboot, OpenShift, Public cloud, AngularJS, Spring, Mongo DB, Oracle
Strong experience with tools like Eureka, Hystrix, Docker, Kubernetes
Good knowledge and experience on GenAI tools and technologies
Working knowledge of CI/CD, BitBucket, RTC, SVN, etc. for source control
Experience with automation tools – Junit / TestNG frameworks, Selenium, Appium, Cucumber

Job Responsibility

Accountable for executing and driving results on large-scale efforts or multiple smaller efforts and serving as a development lead for most medium and large projects
Accountable for exhibiting a strong understanding of client core business functions
Required to support situations in which end user consultation is required to identify system function specifications and incorporate them into overall system design and delivery
Assist in the planning and managing of application development assignments generally involving large budgets, cross functional projects or multiple projects
Accountable for providing guidance on architecturally significant efforts during the preplanning phase
Publish design review extensions, and provide documented guidance aligned to sprint plans and timelines
Be part of the design review board that will focus on the design process, search for generic patterns, and share best practices across the organization
Publish design patterns across lines of business and domain commonalities
Drive design reviews for Next Gen Architecture (NGA) and Plan of Record (POR) projects
Participate in micro services and NGA code reviews

Fulltime

GenAI Engineering Lead

We are seeking an exceptional and highly motivated GenAI Tech Lead to join our d...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10-15 years of relevant experience in Apps Development or systems analysis role, with a significant portion dedicated to AI/ML and demonstrable hands-on experience in designing, building, and deploying real-world Generative AI solutions, with a specific focus on GenAI adoption and Agentic AI for business process automation
Proficiency in at least two programming languages. Strong preference for Python, with significant experience in Javascript/Typescript and Golang being highly valued
Demonstrated deep hands-on experience in engineering and deploying enterprise-grade solutions that are highly scalable, resilient, and performant
Strong theoretical and practical understanding of Large Language Models (LLMs), including experience with various open-source and proprietary models, fine-tuning techniques, and deployment strategies
Proficiency with transformers, agentic frameworks, vector stores, and advanced search algorithms
Hands-on experience with Retrieval Augmented Generation (RAG) implementations
Experience with relevant GenAI/ML frameworks such as LangChain, LangGraph, MLFlow, Spring AI, Spring Boot, and Flask
Extensive experience with data analysis and manipulation using tools like SQL and Pandas
Proficiency in database technologies including Oracle, Postgres, or MongoDB
Proven experience in designing and implementing robust REST and WebSocket APIs

Job Responsibility

Strategic Leadership & GenAI Adoption: Drive the identification, evaluation, and adoption of emerging Generative AI technologies and tools to develop innovative solutions and enhance existing platforms. Actively design, develop, and implement AI/ML solutions within financial applications, with a strong emphasis on practical GenAI adoption. This includes hands-on coding, prototyping, and deploying GenAI solutions
Agentic AI for Business Process Automation: Lead the end-to-end design, prototyping, and implementation of Agentic AI solutions focused on automating critical business processes, ensuring they address business needs and scale effectively across the enterprise. This includes designing and implementing Retrieval Augmented Generation (RAG) systems to enhance accuracy and contextuality, especially for financial data
Chatbot Development: Design, develop, and deploy intelligent chatbot solutions capable of interacting with users across both structured data sources and unstructured data, leveraging GenAI for natural language understanding and generation in complex conversational flows
Document Processing & OCR Integration: Implement solutions for processing and extracting information from documents, including integrating Optical Character Recognition (OCR) technologies to handle scanned documents and images, making their content available for GenAI models
Text-to-SQL Implementation: Develop and deploy solutions leveraging Large Language Models to facilitate Text-to-SQL capabilities, enabling users to generate SQL queries from natural language requests, thus simplifying data access and analysis from structured databases
Data Analysis & Feature Engineering: Analyze large, complex datasets, identify intricate patterns, and extract actionable insights, leveraging GenAI capabilities for data augmentation or synthetic data generation, particularly relevant for Agentic AI applications
Data Pipeline Development: Build and maintain robust, scalable data pipelines for data ingestion, processing, and transformation, specifically optimizing for the unique requirements of GenAI model training and inference
Cross-Functional Collaboration: Partner with multiple management teams and business stakeholders to deeply understand requirements and translate them into precise technical specifications and actionable roadmaps, incorporating GenAI and Agentic AI possibilities into discussions
System Enhancements & Architecture: Identify and define necessary system enhancements to deploy new GenAI products and process improvements. Ensure application design adheres to the overall architecture blueprint, integrating GenAI and Agentic AI components seamlessly
Problem Resolution: Resolve a variety of high-impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards, applying GenAI and Agentic AI where they can offer innovative solutions

Fulltime