Agentic & Generative AI Developer
Sutherland9 hours ago
Chennai, IndiaMid Level
Responsibilities
- Develop, test, and manage the execution of AI projects while ensuring timely delivery, quality, and architectural alignment.
- Translate architectural blueprints into executable components, prototypes, and production-ready services.
- Build GenAI applications, RAG pipelines, and agent-based solutions using LangChain, LangGraph, and Google ADK.
- Perform data preprocessing, feature engineering, model optimization, and performance tuning for agentic AI models and pipelines.
- Review code, develop reusable components, enforce engineering best practices, and troubleshoot application performance bottlenecks.
- Deploy and scale AI models using cloud services and AI deployment tooling.
Requirements
- Strong proficiency in Python and its frameworks, with experience in AI/ML engineering or software development.
- Experience delivering GenAI, LLM, Transformer-model, or agentic AI solutions.
- Understanding of prompt engineering, APIs, data preprocessing, and model integration.
- Familiarity with vector databases and RAG architectures for enterprise knowledge retrieval.
- Exposure to MCP and agent-to-agent communication.
- Familiarity with SQL, NoSQL, and data warehousing solutions, including analysis of complex datasets.
- Understanding of CI/CD pipelines, Docker, and Kubernetes for AI model deployment.
Categories
About Sutherland
Sutherland provides IT services and business process outsourcing that design, run, and automate customer experience and back-office operations for enterprises in healthcare, financial services, telecom, retail, and travel. Its offerings include managed contact-center platforms (e.g., Cisco UCCE/CUCM), cloud and analytics solutions, and process consulting delivered through global service centers. Founded in 1986 and headquartered in Pittsford (Rochester), NY, it is privately held.