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