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.
Robust
Python programming
skills.
Familiarity with
JavaScript/TypeScript
or mobile/native development is a plus.
Robust 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, mo

📌 Ai/ml Engineer – Agentic Ai Visakhapatnam
🏢 WNS
📍 Visakhapatnam