Agentic AI Engineer / Developer

• Design and develop enterprise-grade Agentic AI applications and intelligent autonomous systems
• Build AI agents capable of reasoning, planning, memory management, and task orchestration
• Develop scalable RAG pipelines and integrate enterprise knowledge sources
• Collaborate with business and technology teams to identify AI-driven automation opportunities
• Integrate LLMs, APIs, databases, and external tools into agentic workflows
• Optimize AI model performance, latency, scalability, and cost efficiency
• Ensure AI applications follow enterprise security, governance, and compliance standards
• Develop reusable frameworks, accelerators, and best practices for AI engineering
• Participate in architecture discussions, code reviews, and technical mentoring
• Monitor, troubleshoot, and enhance production AI systems
• Work within Agile/Scrum teams to deliver high-quality AI solutions

We are seeking an experienced Agentic AI Engineer / Developer to design, develop, and deploy next-generation AI-driven autonomous and semi-autonomous systems for enterprise applications. The ideal candidate should have strong expertise in Generative AI, LLMs, AI agents, orchestration frameworks, and scalable cloud-native architectures. The role involves building intelligent agentic workflows capable of reasoning, planning, tool usage, and workflow automation within a secure enterprise ecosystem.

Must Have Technical/Functional Skills

• Strong hands-on experience in Python programming
• Experience developing AI/ML and Generative AI solutions in enterprise environments
• Strong understanding of Large Language Models (LLMs) and prompt engineering
• Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar
• Experience building AI agents with memory, reasoning, planning, and tool integration capabilities
• Strong experience with Retrieval-Augmented Generation (RAG) architectures
• Experience integrating vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS
• Experience with OpenAI, Anthropic, Gemini, or other enterprise LLM APIs
• Strong understanding of REST APIs, microservices, and event-driven architectures
• Experience with FastAPI, Flask, or similar backend frameworks
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform
• Experience with Docker, Kubernetes, and CI/CD pipelines
• Strong understanding of data structures, algorithms, and distributed systems
• Experience with SQL and NoSQL databases
• Familiarity with monitoring, observability, and logging tools
• Understanding of AI governance, responsible AI, and enterprise security standards
• Experience with Git, GitHub/GitLab, Jira, and Agile methodologies

Nice to Have Skills

• Experience in banking or financial services domain
• Knowledge of AI workflow orchestration and multi-agent collaboration systems
• Familiarity with MLOps and LLMOps practices
• Experience with GPU optimization and model fine-tuning
• Exposure to Neo4j or knowledge graph technologies
• Experience building conversational AI or intelligent automation platforms, * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field
• Strong analytical, communication, and problem-solving skills
• Ability to work in a fast-paced enterprise environment
• Passion for innovation, emerging AI technologies, and continuous learning