Join a team that builds, ships, and owns the full lifecycle of our products, powered by our agentic AI platform. In this role, you will be part of a multidisciplinary team responsible for writing code, low-code solutions, and the tools to ship, as well as supporting everything you deliver.
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Responsibilities

Implement, develop and unit test applications according to highest standards

Work in a scrum team to deliver the project to Genpact’s clients
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Requirements

Qualifications we seek in you

Proven knowledge of C# with deep understanding of internals and language features

JavaScript experience

Web Debugging with dev tools

Knowledge of one or more relational and non-relational databases (for example, SQL, PostgreSQL, MariaDB, MongoDB, and Elasticsearch).

Self-motivated and eager to learn

Passion for problem solving

Familiarity with Scrum and Agile methodologies.

Excellent verbal and written communication skills in English
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Nice to have

Familiarity with Azure cloud.

Understanding the concept or experience with distributed systems

Understanding the concept or experience with event driven systems and tools (Kafka, Azure message bus, queues)

Networking + network protocols

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Your duties and responsibilities include:  

Be responsible for the overall product development lifecycle

Lead operations activities in the following disciplines: Full stack, DevOps, Automation, and Low-Code Development

Manage the day-to-day activities of the engineering teams within an Agile/Scrum environment

Mentor and grow team engineers by creating and implementing best practices and establishing a suitable protocol that ensures code quality and productivity

Understand business and functional requirements and ensure that the underlying implementation reflects the current and future needs for the product roadmap

Report on the status of development, quality, and operations to the relevant stakeholders

Work closely with the VP R&D and other stakeholders to create a roadmap that supports our evolving products and organize work effectively

Requirements

Must-have Qualifications

Over two years of experience in a leadership position: team lead, development manager, or architect  

Experience in designing, building, and maintaining enterprise-grade products

Strong in fundamentals of enterprise architectural patterns

Experience working with relational and non-relational databases, message brokers, and RESTful services

Experience with Scrum and Agile methodology

Fluent in spoken and written English
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Advantages

Bachelor’s degree or equivalent

Hands-on development experience in core Microsoft .NET technologies (.NET framework / .NET 5)

Experience with cloud platforms, such as Azure and AWS

Experience in developing products in regulated industries

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We are expanding our R&D team and looking for a talented and experienced AI Engineer with a strong background in Generative AI (GenAI) to join our core development team. In this role, you will drive the design, development, and deployment of intelligent features for our next-generation multi-cloud SaaS orchestration platform, powered by LLMs, Agentic AI, and GenAI capabilities.

You will be instrumental in shaping the AI strategy, building intelligent components, and collaborating across disciplines to bring advanced AI-powered solutions to life.

Responsibilities:

Lead research and exploration of emerging GenAI and Agentic AI technologies to inform product and platform evolution.

Design and implement robust, scalable AI/ML solutions, leveraging LLMs, RAG pipelines, fine-tuning, and prompt engineering.

Build and integrate AI pipelines for document intelligence, NLP, and reasoning tasks using cloud-native tools and frameworks.

Collaborate with architects and engineers to embed AI across core platform workflows, ensuring performance, scalability, and maintainability.

Contribute to model experimentation, validation, and deployment pipelines with strong emphasis on MLOps and GenAIOps practices.

Mentor fellow engineers on AI engineering principles and establish coding and design standards across AI modules.

Work with the R&D leadership to align technical initiatives with the overall product roadmap and release strategy.
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Requirements

Must-have Qualifications:

5+ years of hands-on experience in product-based tech companies, with a focus on AI/ML systems.

Proven track record in designing and implementing GenAI-powered solutions using LLMs and transformer-based architectures.

Deep understanding of prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and LLM-based workflows.

Strong experience with Azure Cognitive Services.

Proficiency in Python or other relevant languages (e.g., TypeScript, Go), including use of AI/ML frameworks (e.g., LangChain, Hugging Face, PyTorch).

Familiarity with containerized environments and orchestration tools (e.g., Docker, Kubernetes).

Comfortable working with multi-cloud environments (Azure, AWS, or GCP).

Experience with Agile/Scrum development methodologies.

Strong communication skills and fluency in English (spoken and written).

Preferred/Bonus Qualifications:

Experience with building high-performance distributed systems.

Familiarity with agentic frameworks for multi-step reasoning or workflow automation.

Exposure to AI model governance, data compliance, and MLOps pipelines.

Background in Computer Science or related technical degree.

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Requirements

Must-have Qualifications

5+ years of experience leading, designing, and implementing data architecture at an enterprise level.

5+ years of experience working with relational databases (for example, PostgreSQL, MSSQL or MySQL).

2+ years of experience working with Elasticsearch.

2+ years of experience working with non-relational databases (for example, MongoDB or Cassandra).

Be exceptionally strong in SQL development - complex queries and performance tuning.  

Implement and manage ETL/ELT processes for data integration and transformation.

Proficiency in Azure and Azure Data Factory for data integration and transformation.

Experience with Scrum and Agile methodology.

Fluent in spoken and written English.

Advantages

Experience with big data technologies such as Hadoop, Spark, or Kafka.

Experience with Databricks or similar data processing platforms.

Familiarity with data warehousing solutions.

Knowledge of data governance and data security practices.

Certification in Azure or other relevant technologies.

University or college degree in Computer Science or a related discipline.

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In this role, you will be responsible for ensuring the quality of our products by performing manual tests, as well as writing and running automated tests.

This is a great opportunity to work in a dynamic, agile, and challenging environment.
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Requirements

Responsibilities:

Prepare and execute detailed٫ comprehensive and well-structured test plans and test cases.

Investigate software issues to improve overall product quality Design and develop automated tests.

Take an active part in all R&D efforts, such as joining design meetings, sprint planning, and other Agile rituals.

Recommend improvements in software to enhance user experience.

Integrate and communicate with different functions in the organization like Product support, Product owners, Delivery teams, and more.

Qualifications we seek in you

Minimum Qualifications

Proven experience in manual web application testing

Proven experience creating test cases that simulate real-life customer scenarios.

Solid understanding of how web applications work.

Hands-on experience with relational database queries (MS-SQL, MySQL, PostgreSQL, or Oracle)

Great team player and able to work efficiently with minimal supervision.

Excellent analytical and problem-solving skills.

Excellent written and oral communication skills in English.

Preferred Qualifications/ Skills

Experience working with Selenium.

Knowledge of C#

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We are expanding our R&D team and looking for a talented and experienced AI Engineer with a strong background in Generative AI (GenAI) to join our core development team. In this role, you will drive the design, development, and deployment of intelligent features for our next-generation multi-cloud SaaS orchestration platform, powered by LLMs, Agentic AI, and GenAI capabilities.

You will be instrumental in shaping the AI strategy, building intelligent components, and collaborating across disciplines to bring advanced AI-powered solutions to life.

Responsibilities:

Lead research and exploration of emerging GenAI and Agentic AI technologies to inform product and platform evolution.

Design and implement robust, scalable AI/ML solutions, leveraging LLMs, RAG pipelines, fine-tuning, and prompt engineering.

Build and integrate AI pipelines for document intelligence, NLP, and reasoning tasks using cloud-native tools and frameworks.

Collaborate with architects and engineers to embed AI across core platform workflows, ensuring performance, scalability, and maintainability.

Contribute to model experimentation, validation, and deployment pipelines with strong emphasis on MLOps and GenAIOps practices.

Mentor fellow engineers on AI engineering principles and establish coding and design standards across AI modules.

Work with the R&D leadership to align technical initiatives with the overall product roadmap and release strategy.

Requirements

Must-have Qualifications:

5+ years of hands-on experience in product-based tech companies, with a focus on AI/ML systems.

Proven track record in designing and implementing GenAI-powered solutions using LLMs and transformer-based architectures.

Deep understanding of prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and LLM-based workflows.

Strong experience with Azure Cognitive Services.

Proficiency in Python or other relevant languages (e.g., TypeScript, Go), including use of AI/ML frameworks (e.g., LangChain, Hugging Face, PyTorch).

Familiarity with containerized environments and orchestration tools (e.g., Docker, Kubernetes).

Comfortable working with multi-cloud environments (Azure, AWS, or GCP).

Experience with Agile/Scrum development methodologies.

Strong communication skills and fluency in English (spoken and written).

Preferred/Bonus Qualifications:

Experience with building high-performance distributed systems.

Familiarity with agentic frameworks for multi-step reasoning or workflow automation.

Exposure to AI model governance, data compliance, and MLOps pipelines.

Background in Computer Science or related technical degree.

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Your duties and responsibilities include:

Research directions for future technologies and product architecture.

Design, develop, and unit test solutions according to established standards.

Participate in peer reviews of solution designs and related code.

Collaborate with internal teams to help grow an engineering team and build an efficient process-driven engineering machine that can expand rapidly when needed.

Mentor and grow team engineers by creating and implementing best practices and establishing a suitable protocol that ensures code quality and productivity.

Work closely with the R&D Manager to create a roadmap that supports our evolving products and organize work effectively.

Requirements

Must-have qualifications:

Over five years of experience in product-based companies

Exceptionally strong knowledge of design patterns and enterprise architectural patterns

Strong knowledge of gen AI technologies

Proven experience with Azure Cognitive capabilities, specificaly Extraction technologies using DocIntel or equevilent

Proven knowledge of Python or other relevant programming languages with deep understanding of internals and language features

Experience with containers and orchestration tools such as Docker or Kubernetes

Experience working with relational databases like SQL or PostgreSQL, non-relational databases like MongoDB or Elasticsearch

Experience working with message brokers such as RabbitMQ or Apache Kafka

Experience in designing and implementing RESTful services

Familiarity with cloud platforms concepts including Microsoft Azure, AWS, or GCP

Understanding Scrum methodology

Fluent in spoken/written English

Advantages:

Previous experience developing high-performance distributed systems

University degree in Computer Science/related field

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