Job Description

We are looking for a
Senior AI Engineer
who can design, build, and scale
end-to-end AI systems
, combining solid foundations in
Machine Learning/Deep Learning
with hands-on experience in
Generative AI (LLMs, RAG, Agentic systems)
.

This role requires someone who can
own problems from idea to production
, work closely with leadership, and contribute to building
enterprise-grade AI platforms
.

Key Responsibilities

Core AI/ML Engineering (Traditional AI)
Design and develop ML/DL models from scratch for real-world problems
Handle full lifecycle:
data → training → evaluation → deployment → monitoring
Work with structured/unstructured data, feature engineering, and model optimization
Build scalable ML pipelines with reproducibility and versioning

Generative AI & LLM Systems
Build and deploy
LLM-powered applications
(chatbots, copilots, assistants, etc.,)
Design and implement
RAG pipelines
: (Document ingestion, chunking, embeddings, Vector search (FAISS, Pinecone, etc.), Retrieval optimization)
Implement
prompt engineering,



evaluation, and optimization
Work with
multi-model setups
(OpenAI, Claude, open-source LLMs, Bedrock, etc.)

Agentic Systems & Advanced Architectures
Design and build
AI Agents / Agentic workflows
(LangGraph, Langsmith/crewAI, etc.)
Implement (Tool calling, Planning & reasoning workflows, multi-step decision pipelines)
Optimize systems for
long-horizon tasks and complex reasoning

System Design & Productionization
Architect
scalable AI systems
for enterprise use cases
Build APIs and microservices for AI solutions
Ensure: (Low latency, High reliability, Cost optimization)
Work with
Docker, Kubernetes, CI/CD pipelines

Observability, Evaluation & Reliability
Implement
monitoring, logging, and tracing
(e.g., Langfuse, Prometheus)
Define evaluation frameworks: (Accuracy, Retrieval quality, Hallucination detection)
Debug across: (Model, Data, Retrieval, System Layers)

Collaboration & Ownership
Wor

📌 Senior Ai Engineer Pune
🏢 Ensylon
📍 Pune