AI Senior Software Engineer

We are seeking a highly skilled AI Senior Software Engineer with strong expertise in Agentic AI frameworks, Generative AI solutions, and cloud-native deployments. The ideal candidate should have hands-on experience in designing and deploying scalable AI systems using LangGraph, CrewAI, AutoGen, and modern LLM ecosystems.

Key Responsibilities

• Architect, develop, and maintain agentic AI pipelines using LangGraph, CrewAI, and AutoGen.
• Implement RAG-based solutions including embeddings, vector databases, retrieval mechanisms, and memory/state management.
• Develop, fine-tune, and evaluate LLM-based applications using OpenAI, Anthropic, Bedrock, and related platforms.
• Build hybrid AI systems integrating classical ML models such as forecasting, clustering, and scoring models.
• Deploy AI applications using AWS services including ECS, Lambda, and SageMaker.
• Implement observability, monitoring, guardrails, evaluation frameworks, and cost optimization strategies.
• Collaborate with business analysts and stakeholders on AI feasibility, explainability, and model selection.
• Develop scalable Python backend services following design patterns and engineering best practices.
• Ensure performance, scalability, reliability, and security of AI systems.

Required Skills

• 7+ years of software engineering experience with strong Python development expertise.
• Hands-on experience with LangGraph, CrewAI, AutoGen, or similar Agentic AI frameworks.
• Strong understanding of RAG architectures, prompt engineering, and LLM workflows.
• Experience with OpenAI, Anthropic, AWS Bedrock, or equivalent LLM platforms.
• Strong knowledge of AWS services such as ECS, Lambda, and SageMaker.
• Experience in backend architecture, APIs, and distributed systems.
• Good understanding of AI model evaluation, observability, and optimization techniques.
• Strong analytical and problem-solving skills.

Preferred Candidate Profile

• Experience working in Captive Centers / Global Capability Centers (GCCs).
• Ability to work independently in fast-paced environments.
• Strong communication and stakeholder management skills.

Educational Qualification

• Bachelors or Master’s degree in Computer Science, AI, Data Science, or related field.