Key Responsibilities

- Design and develop Agentic AI systems with multi-step reasoning, tool use, and workflow orchestration.
- Integrate AI agents into client applications and business workflows.
- Build, fine-tune, and evaluate ML/LLM models using established training platforms and pipelines.
- Collaborate with clients and engineering teams to gather requirements and translate business problems into AI solutions.
- Integrate agentic workflows using APIs, SDKs, and platform-specific tools across web, mobile, and enterprise applications.
- Develop RAG pipelines, vector databases, embeddings, and prompt/context engineering strategies.
- Define evaluation metrics and conduct model/agent performance experiments.
- Optimize AI solutions for scalability, latency, cost, security, observability, and reliability.
- Work with data engineering, product, and QA teams to deliver production-ready AI features.
- Document architecture, model behavior, integration patterns, and deployment processes.
- Stay updated on the Agentic AI and ML ecosystem and recommend relevant frameworks and platforms.

Required Skills & Experience
- 3–5 years of software engineering experience, including hands-on AI/ML application development.




- Experience building Agentic AI systems using LangChain, LangGraph, AutoGen, CrewAI, or similar frameworks.
- Experience integrating AI/ML solutions into web, mobile, or enterprise applications using APIs and SDKs.
- Knowledge of ML platforms such as AWS SageMaker, Google Vertex AI, Azure ML, or equivalent.
- Strong Python programming skills.
- Familiarity with JavaScript/TypeScript or mobile/native development is a plus.
- Solid understanding of LLMs, prompt engineering, embeddings, RAG, and vector databases.
- Experience with Pinecone, FAISS, Weaviate, or similar vector database technologies.
- Experience with AWS, Azure, or GCP cloud platforms.
- Hands-on experience with Docker and Kubernetes.
- Familiarity with MLOps, model versioning, ML CI/CD, monitoring, and observability.
- Strong client-facing communication and presentation skills.
- Ability to explain technical concepts to non-technical stakeholders.
- Experience in IT services/consulting environments is highly preferred.
- Ability to manage multiple client engagements and projects simultaneously.

📌 AI/ML Engineer – Agentic AI (Visakhapatnam)
🏢 WNS
📍 Visakhapatnam