Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work® in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all.

Curious to know what it’s like to work at Evalueserve?

About Data Analytics (DA)

Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Our more tenured teammates, some of whom have been with Evalueserve since it started more than 20 years ago, have enjoyed leadership opportunities in different regions of the world across our seven business lines.

What you will be doing at Evalueserve:

As a Software Engineer in our Data Analytics team, you’ll be responsible for building and deploying scalable GenAI solutions. You’ll collaborate closely with data scientists and contribute to the development of production-ready systems that leverage cutting-edge technologies.

Develop and deploy GenAI solutions using Python and object-oriented programming (OOP) principles.
Implement and manage CI/CD pipelines using GitHub Actions.
Deploy solutions on AWS using CloudFormation.
Work with frameworks such as LangChain, LangGraph, Semantic Kernel, and Crew.ai.
Apply knowledge of Large Language Models (LLMs) and Prompt Engineering.
Build and deploy services using FastAPI on AWS.
Collaborate with data scientists to refactor analytics solutions for production, ensuring scalability and efficiency.
Support the development of ML/AI pipelines using Apache Airflow.

What we’re looking for:

Software Development: Ability to build software products aligned with business and technical requirements.
Software Development Life Cycle (SDLC): Understanding of structured methodologies for delivering and managing software solutions.
Software Architecture & Design: Ability to translate requirements into scalable and maintainable software designs.
Technical Knowledge: Familiarity with the technical components and integration of software products.
Software Testing: Experience designing and executing testing strategies to ensure product quality and reliability.

Top candidates will also have:

Strong software development experience and solid understanding of OOP principles.
Proficiency in Python and/or GoLang for application development.
Experience with libraries such as FastAPI, LangGraph, and LangChain.
Hands-on experience with Git in medium to large development teams.
Excellent communication skills and experience working in cross-functional teams.
Experience deploying software using GitHub Actions or similar CI/CD tools.
Familiarity with AWS components such as SageMaker Studio, Lambda, API Gateway, and RDS.
Strong technical writing skills for documentation and collaboration.

Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

Please Note: We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you.