Genai Software Engineer Intern – Genai Model Experiment Job at Signify (Shanghai)

Principal AI Architect

As a Principal AI Architect, you will define and drive the end-to-end Cloud + AI...

Location

United States , Multiple Locations

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
Master's Degree in Computer Science, Engineering or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
10+ experience in software engineering or solution architecture, with demonstrable success building and operating complex systems.
10+ experience designing, implementing, and optimizing AI solutions encompassing data pipelines, model training and serving, and production MLOps.
10 + years of full-stack development across frontend, backend, and cloud infrastructure, with a proficient command of data engineering, AI/ML systems, and deployment architectures.
2+ project experience with NLP and LLM-based systems.
Proficient coding skills in C#, Python, JavaScript, and React.

Job Responsibility

Own the reference architecture and technical roadmap for WWL’s AI/Agentic platform capabilities (e.g., orchestration, tools/plugins, memory, retrieval, evaluation, observability, governance).
Translate skilling business objectives into platform investments and architectural decisions, balancing speed-to-value with security, compliance, cost, and long-term maintainability.
Establish clear architectural guardrails and decision frameworks (e.g., “build vs. buy,” “Copilot Studio vs. Foundry,” “RAG vs. fine-tune,” “central vs. federated patterns”).
Lead architecture/design reviews for major initiatives
drive alignment on system boundaries, contracts, dependency management, and resiliency.
Define and standardize architecture patterns (multi-tenant SaaS, event-driven architectures, secure data access, model routing, agent safety controls).
Create reusable templates, “golden paths,” and reference implementations to accelerate engineering delivery across teams and reduce fragmentation.
Embed Responsible AI principles into agentic solution design (human-in-the-loop, safety mitigations, evaluation, transparency, and auditability).
Partner with security and compliance stakeholders to ensure services meet required controls and operational standards, and to drive alignment between policy intent and implementation.
Define secure patterns for prompt/data handling, secrets management, identity, and access governance for AI systems.

Fulltime

Senior GenAI Engineer - AgenticAI

Senior Generative AI Experts with proven hands-on experience in building Agentic...

Location

Pakistan , Lahore

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of professional experience in software engineering and AI/ML
2+ years of practical experience in LLM-based application development
Strong track record of delivering Agentic AI systems (not just chatbot interfaces)
Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel
Hands-on experience with: OpenAI, Claude, Gemini, Mistral, or Llama2
Hands-on experience with: Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.)
Hands-on experience with: Prompt engineering, RAG, memory/context management
Hands-on experience with: Serverless, Python, Node.js, AWS/GCP/Azure cloud
Experience leading engineering teams and working with enterprise clients
Excellent communication, documentation, and stakeholder management skills

Job Responsibility

Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
Architect and implement multi-agent systems for enterprise-grade solutions
Integrate AI agents with APIs, databases, internal tools, and external SaaS products
Lead and mentor a cross-functional team across global time zones
Optimize performance, context retention, tool usage, and cost efficiency
Build reusable pipelines and modules to support GenAI use cases at scale
Ensure enterprise-grade security, privacy, and compliance standards in deployments
Collaborate directly with clients and senior stakeholders

What we offer

Work on cutting-edge Generative AI and Agentic AI projects at enterprise scale
Collaborate with senior teams across US, Canada, UAE, India, and Pakistan
Competitive compensation + long-term career roadmap

Fulltime

Senior GenAI Engineer - AgenticAI

NorthBay Solutions, a global AWS Consulting Partner with distributed teams acros...

Location

Pakistan , Islamabad

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of professional experience in software engineering and AI/ML
2+ years of practical experience in LLM-based application development
Strong track record of delivering Agentic AI systems (not just chatbot interfaces)
Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel
Hands-on experience with: OpenAI, Claude, Gemini, Mistral, or Llama2
Hands-on experience with: Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.)
Hands-on experience with: Prompt engineering, RAG, memory/context management
Hands-on experience with: Serverless, Python, Node.js, AWS/GCP/Azure cloud
Experience leading engineering teams and working with enterprise clients
Excellent communication, documentation, and stakeholder management skills

Job Responsibility

Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
Architect and implement multi-agent systems for enterprise-grade solutions
Integrate AI agents with APIs, databases, internal tools, and external SaaS products
Lead and mentor a cross-functional team across global time zones
Optimize performance, context retention, tool usage, and cost efficiency
Build reusable pipelines and modules to support GenAI use cases at scale
Ensure enterprise-grade security, privacy, and compliance standards in deployments
Collaborate directly with clients and senior stakeholders

What we offer

Work on cutting-edge Generative AI and Agentic AI projects at enterprise scale
Collaborate with senior teams across US, Canada, UAE, India, and Pakistan
Competitive compensation + long-term career roadmap

Fulltime

Product Manager - AI

Our enterprise Data and Technology team at Zelis is seeking a driven and analyti...

Location

United States , Remote; Boston; Morristown

Salary:

105000.00 - 140000.00 USD / Year

Zelis

Expiration Date

Until further notice

Requirements

3+ years of technical product management with demonstrated ability to define product scope and deliver alongside technical teams
Strong understanding of and experience with Data Science, ML, GenAI, and Data Analytics concepts and other data/product tools such as SQL, Python, R, Spark, AWS, Azure, and Snowflake
An ability to listen to diverse audiences, identify requirements, gaps and barriers, and translate needs into AI and analytics solutions
Understanding and experience with machine learning, data engineering, and software engineering
Technical depth that enables you to drive discussions about design of AI solutions (including GenAI), machine learning models, ETLs, AI infrastructure
Possess strong communication skills, including experience being an active and expert listener, with clear verbal communication as well as explicit and mindful written communication skills
Well-versed in Agile frameworks and product tools such as Jira and Confluence
Experience guiding teams through the AI lifecycle, including collecting and collating use cases and managing intake processes for new AI use cases
Open to candidates with either B2B or B2C experience and outside the healthcare industry
critical to success in this role is being intellectually curious, a self-starter, and experience building AI products

Job Responsibility

Become an expert in your product areas, acting as the go to person for other stakeholders before speaking to the technical data science and software engineering teams
Collaborate with software engineers, data engineers, data scientists and other product teams to scope new or refine existing AI solutions that increase business value, adoption, and user engagement
Lead discussions with BU stakeholders to identify business process and underlying needs. Draft clear and concise business requirements and technical product documentation
Interface with internal to Zelis engineering and product teams to manage the intake process for new requests
Understand how your product areas link into the wider roadmap and be able to highlight both dependencies and opportunities for growth
Define key performance indicators to evaluate product
Be the voice of the customer in technical discussions and facilitate the relationship between the application teams and technical data teams for your product areas
Work with cross-functional teams and various stakeholders, including engineering, architecture, operations, product, marketing, partnerships, and customer success
Collaborate with technical product analysts to support engineering teams through the delivery lifecycle
Understand the implications of AI products to the healthcare industry, and be able to tell the story of how an individual receiving care maps to the problem you are solving.

What we offer

401k plan with employer match
flexible paid time off
holidays
parental leaves
life and disability insurance
health benefits including medical, dental, vision, and prescription drug coverage

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

Sr. Engineer, ML Platform

As the leading delivery platform in the region, we have a unique responsibility ...

Location

United Kingdom , London

Salary:

Not provided

Delivery Hero

Expiration Date

Until further notice

Requirements

Strong software engineering background with experience in building distributed systems or platforms designed for machine learning and AI workloads
Expert-level proficiency in Python and familiarity with ML frameworks (TensorFlow, PyTorch), infrastructure tooling (MLflow, Kubeflow, Ray), and popular APIs (Hugging Face, OpenAI, LangChain)
Experience implementing modern MLOps practices, including model lifecycle management, CI/CD, Docker, Kubernetes, model registries, and infrastructure-as-code tools (Terraform, Helm)
Demonstrated experience working with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed ML services (e.g., Vertex AI, SageMaker)
Proven experience with generative AI technologies: transformers, embeddings, prompt engineering strategies, fine-tuning vs. prompt-tuning, vector databases, and retrieval-augmented generation (RAG) systems
Experience designing and maintaining real-time inference pipelines, including integrations with feature stores, streaming data platforms (Kafka, Kinesis), and observability platforms
Familiarity with SQL and data warehouse modeling
capable of managing complex data queries, joins, aggregations, and transformations
Solid understanding of ML monitoring, including identifying model drift, decay, latency optimization, cost management, and scaling API-based genAI applications efficiently
Bachelor’s degree in Computer Science, Engineering, or a related field

Job Responsibility

Design, build, and maintain scalable, reusable, and reliable ML platforms and tooling that support the entire ML lifecycle, including data ingestion, model training, evaluation, deployment, and monitoring for both traditional and generative AI models
Develop standardized ML workflows and templates using MLflow and other platforms, enabling rapid experimentation and deployment cycles
Implement robust CI/CD pipelines, Docker containerization, model registries, and experiment tracking to support reproducibility, scalability, and governance in ML and genAI
Collaborate closely with genAI experts to integrate and optimize genAI technologies, including transformers, embeddings, vector databases (e.g., Pinecone, Redis, Weaviate), and real-time retrieval-augmented generation (RAG) systems
Automate and streamline ML and genAI model training, inference, deployment, and versioning workflows, ensuring consistency, reliability, and adherence to industry best practices
Ensure reliability, observability, and scalability of production ML and genAI workloads by implementing comprehensive monitoring, alerting, and continuous performance evaluation
Integrate infrastructure components such as real-time model serving frameworks (e.g., TensorFlow Serving, NVIDIA Triton, Seldon), Kubernetes orchestration, and cloud solutions (AWS/GCP) for robust production environments
Drive infrastructure optimization for generative AI use-cases, including efficient inference techniques (batching, caching, quantization), fine-tuning, prompt management, and model updates at scale
Partner with data engineering, product, infrastructure, and genAI teams to align ML platform initiatives with broader company goals, infrastructure strategy, and innovation roadmap
Contribute actively to internal documentation, onboarding, and training programs, promoting platform adoption and continuous improvement

Fulltime

Principal Applied Researcher AI/NLP

At PointClickCare our mission is simple: to help providers deliver exceptional c...

Location

United States

Salary:

195800.00 - 217500.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

PhD or comparable level of experience in Computer Science, Math, Physics, Engineering or a related field
4-10+ year industry experience building solutions in commercial SaaS, including at least 4 years working in applications of NLP, Search or AI/ML technologies for healthcare
Strong interest in applying AI/ML/NLP to healthcare related problems and data
Expert-level practical, hands-on experience developing and applying a wide range of techniques in Natural Language Processing, including fine tuning of LLMs and other Transformer models, plus one or more additional AI/ML or Search related areas of expertise to solve real-world problems at scale
Demonstrated ability to lead and perform research and experimentation to select appropriate approaches, algorithms, evaluation methods, and frameworks, as well as tasks such as feature selection, language modeling, evaluation and fine tuning or training models, applying standard approaches or developing new tools or workflows as needed to meet project requirements
Significant experience building and deploying AI/machine learning and NLP models for large-scale SaaS products, including familiarity with industry standard software development concepts such as scaling issues, version control, CI/CD pipelines, and security
Solid understanding and experience with transformer models and multiple kinds of NLP and ML models and approaches including logistic regression, random forest, ensemble methods, SVM, KNN, reinforcement learning, and other ML techniques
Proficiency in Python and Java required. Proficiency in JavaScript or TypeScript and modern UI frameworks for building prototype or tool front ends desired
Proficiency doing data engineering for ML and NLP applications, including exposure to database systems and proficiency with SQL
Proficiency building models from big data using modern packages, models and data analysis stacks such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, Keras, LightGBM, fastText, NLTK, and spaCy. Proficiency fine tuning Hugging Face Transformers required

Job Responsibility

You will be applying NLP including GenAI and other AI/ML techniques to develop model systems and solutions, collaborating across functions to scale and integrate advanced solutions into successful end user experiences in large-scale cloud based SaaS production environments for healthcare
You will be working with product leaders, clinical informaticists, data scientists, UI/UX researchers and designers, other AI and machine learning and domain experts, engineering teams and others, including work with customers and users who are healthcare professionals
Design, build and evaluate solutions that may involve structured or unstructured data including speech or natural language for healthcare use cases, delivering capabilities such as summarization, predictive models, recommenders, semantic search, extraction, classification or other NLP, AI or machine learning based techniques
You will be performing research and experimentation to select appropriate approaches, algorithms, evaluation methods and frameworks and doing the R&D to deliver model systems
You will perform, oversee and assist in data collection, data cleaning, data analysis, algorithm selection or design, prompt tuning, parameter fine tuning, training, development and evaluation of systems that deliver responsible AI solutions at scale, using existing or developing new tools or workflows as needed
As a principal applied researcher, you will bring deep technical expertise and also provide mentorship on advanced AI, NLP, data science, statistical and machine learning methods and technologies, helping the organization develop new capabilities for innovative solutions
You will have substantial independence and responsibility from day one

What we offer

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more

Fulltime

Senior GenAI (Agentic) Engineer

Our client, a global AWS Consulting Partner with distributed teams across the US...

Location

India

Salary:

45.00 - 50.00 INR / Year

NorthBay

Expiration Date

Until further notice

Requirements

5 to 8+ years of professional experience in software engineering and AI/ML
2+ years of practical experience in LLM-based application development
Strong track record of delivering Agentic AI systems (not just chatbot interfaces)
Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel
Hands-on experience with: OpenAI, Claude, Gemini, Mistral, or Llama2
Hands-on experience with: Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.)
Hands-on experience with: Prompt engineering, RAG, memory/context management
Hands-on experience with: Serverless, Python, Node.js, AWS/GCP/Azure cloud
Experience leading engineering teams and working with enterprise clients
Excellent communication, documentation, and stakeholder management skills

Job Responsibility

Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar)
Architect and implement multi-agent systems for enterprise-grade solutions
Integrate AI agents with APIs, databases, internal tools, and external SaaS products
Lead and mentor a cross-functional team across global time zones
Optimize performance, context retention, tool usage, and cost efficiency
Build reusable pipelines and modules to support GenAI use cases at scale
Ensure enterprise-grade security, privacy, and compliance standards in deployments
Collaborate directly with clients and senior stakeholders

What we offer

PF
Medical Insurance
Paid Leaves

Fulltime

Genai Software Engineer Intern – Genai Model Experiment

Signify

Location:
China , Shanghai

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 24, 2026

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