Lead-Software Development

Company Description

We make digital 𝐡𝐮𝐦𝐚𝐧™ by combining human-centered design with real-time Analytics, AI, Cognitive Technology & Automation to create exceptionally engineered Brand Experiences! Sutherland is an experience-led digital transformation company. Our mission is to deliver exceptionally engineered experiences for customers and employees today, that continue to delight tomorrow. For over 35 years, we have cared for our customers’ customers, delivering measurable results and accelerating growth. Our proprietary, AI-based products and platforms are built using robust IP and automation. We are a team of global professionals, operationally effective, culturally meshed, and committed to our clients and to one another. We call it One Sutherland. #MakeDigitalHuman. https://www.sutherlandglobal.com/

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Job Description

Sutherland is seeking an attentive and analytical person to join us as a Python Developer to be responsible for overseeing the quality of calls and customer service delivery. We are a group of dynamic and driven individuals. If you are looking to build a fulfilling career and are confident you have the skills and experience to help us succeed, we want to work with you!

Responsibilities:

• Keep management updated: Relay vital information in the form of timely and accurate reports
• Impact the bottom line: Produce solid and effective strategies based on accurate and meaningful data reports and analysis and/or keen observations
• Define Sutherland’s reputation: Oversee and manage performance and service quality to guarantee customer satisfaction; provide coaching and feedback to CSRs
• Strengthen relationships: Establish and maintain communication with clients and/or team members; understand needs, resolve issues, and meet expectations 
• Take the lead: Monitor calls/chats/e-mails as per defined sample plan and targets; report out any ZT cases and take necessary action; perform RCA and take corrective actions for defects identified during monitoring; drive quality awareness and improvement initiatives across program

Qualifications

To succeed in this position, you must:

• Qualifications & Experience:
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Extensive experience in AI software development with strong proficiency in Python and C#.NET.
  • Hands-on experience with Large Language Models (LLMs) and Natural Language Processing (NLP).
  • Strong knowledge of relational (RDBMS) and NoSQL databases.
  • Experience in developing Generative AI chatbots, including ingestion pipelines, query pipelines, and Retrieval-Augmented Generation (RAG) using at least one cloud platform.
  • Proficiency in at least one NLP and LLM model.
  • Solid understanding of machine learning techniques and algorithms.
  • Strong knowledge of data structures, algorithms, and software design principles.
  • Healthcare domain experience is a plus.

• Key Skills:
  • Excellent problem-solving skills and attention to detail.
  • Effective communication and collaboration abilities.
  • Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities.

• Other Considerations:
  • Location: Hyderabad
  • Work Mode: Work from Office/Hybrid
  • Notice Period: Immediate Joiner

Additional Information

Roles & Responsibilities – AI Developer (Individual Contributor)

• Design, develop, and deploy AI-driven applications with a focus on Large Language Models (LLMs) and Natural Language Processing (NLP).
• Build, fine-tune, and optimize LLM-based solutions, ensuring efficient model performance and responsiveness.
• Implement GenAI Chatbots, including ingestion and query pipelines, using at least one cloud platform (AWS, Azure, or GCP).
• Develop and maintain AI-based solutions using Python and C#.NET.
• Integrate AI models with backend systems and APIs to enhance application functionalities.
• Ensure seamless communication between AI services and enterprise applications.
• Design, manage, and optimize structured (RDBMS) and unstructured (NoSQL) databases for AI applications.
• Develop data ingestion pipelines for efficient data processing and transformation.
• Ensure high data integrity and performance in AI-driven workflows.
• Deploy AI models on cloud platforms such as AWS, Azure, or GCP.
• Optimize model inference for real-time or batch processing scenarios.
• Implement best practices for scalability, security, and cost optimization in cloud-based AI solutions.
• Conduct regular performance tuning, debugging, and troubleshooting of AI models and applications.
• Improve efficiency of LLM/NLP pipelines to reduce latency and enhance accuracy.
• Implement monitoring and logging mechanisms for AI-driven systems.
• Work closely with cross-functional teams, including data scientists, ML engineers, and software developers, to integrate AI solutions.
• Document technical specifications, workflows, and best practices for AI development.
• Stay updated with the latest advancements in LLMs, NLP, and AI technologies to bring innovation into the organization.