Generative AI Engineer

About Client:

Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.

Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.

Job Title: GenAI Developer

Key Skills: GenAI, Python, GenAI platforms, LLM , MLOps, cloud platforms, Docker, Kubernetes, CI/CD pipelines, GenAI frameworks, LangChain, AutoGen, LlamaIndex, CrewA

Job Locations: Hyderabad, Bangalore

Experience: 3 - 8 Years

Budget: 7 - 15 LPA

Education Qualification: Any Graduation

Work Mode: Hybrid

Employment Type: Contract

Notice Period: Immediate - 15 Days

Interview Mode: 2 Rounds of Technical Interview + Including Client round

Job Description:

We are seeking a highly skilled and motivated GenAI Infrastructure Architect and Developer to lead the design, development, and deployment of scalable GenAI platforms. This role will focus on building robust infrastructure to support agent-based systems, LLM orchestration, and real-time AI-driven automation across enterprise environments.

Key Responsibilities:

• Architect and implement GenAI infrastructure using cloud-native technologies (AWS, Azure, GCP).
• Design and deploy scalable, secure, and resilient GenAI pipelines for model training, inference, and monitoring.
• Collaborate with cross-functional teams to integrate GenAI services into enterprise workflows (e.g., automation, observability, data pipelines).
• Optimize performance, cost, and reliability of GenAI workloads.
• Ensure compliance with security, governance, and data privacy standards.

Required Skills:

• Strong experience with cloud platforms (AWS Bedrock, Azure AI, GCP Vertex AI).
• Proficiency in containerization (Docker, Kubernetes) and CI/CD pipelines.
• Familiarity with GenAI frameworks like LangChain, AutoGen, LlamaIndex, or CrewAI.
• Hands-on experience with observability, logging, and monitoring tools.
• Understanding of LLM lifecycle management, prompt engineering, and fine-tuning.
• Knowledge of data engineering and MLOps practices.

Interested Candidates please share your CV to pnomula@people-prime.com