Job Description

We are looking for a hands-on

AI / Machine Learning Engineer

who can design, build, and deploy intelligent systems using modern ML and LLM-based architectures. You will work closely with product, engineering, and business teams to deliver scalable AI solutions for real-world use cases.

This role is ideal for someone who enjoys both

research + production engineering

, and has experience taking models from experimentation to deployment.

Key Responsibilities

Design, develop, and deploy

machine learning and AI solutions

for production use Build and optimize

LLM-based systems

(RAG, agents, prompt pipelines) Develop data pipelines for

training, fine-tuning, and inference

Implement

vector search, embeddings, and retrieval systems

Evaluate model performance and continuously improve accuracy and latency Work with backend engineers to integrate AI services via APIs Write clean, scalable, and well-documented code Stay updated with the latest advancements in AI/ML and LLMs
Required SkillsCore

Strong proficiency in

Python

Solid understanding of

Machine Learning fundamentals

(supervised, unsupervised, evaluation metrics) Experience with

deep learning frameworks

: PyTorch or TensorFlow Experience building

REST APIs

(FastAPI / Flask)
LLM & AI Systems

Hands-on experience with

LLMs

(OpenAI, Azure OpenAI, Anthropic, etc.) Experience with

RAG architectures

Vector databases:

Chroma, Pinecone, Weaviate, FAISS

Prompt engineering and structured outputs (JSON / schemas)
Data & Infra

Experience with

SQL / NoSQL databases

Familiarity with

cloud platforms

(AWS / GCP / Azure) Understanding of

model deployment, monitoring, and scaling

Experience with Docker (preferred)
Good to Have

Experience with

LangChain, LangGraph, LlamaIndex, or similar frameworks

Experience with

multi-agent systems

Familiarity with

ML observability tools

(Langfuse, LangSmith, Weights & Biases) Knowledge of

NLP, computer vision, or recommendation systems

Experience working in

startup or fast-paced environments

What You'll Work On

AI chatbots and agents RAG-based knowledge systems Automation and decision-support tools AI features for SaaS and enterprise platforms
Job Types: Full-time, Permanent

Pay: ?12,530.40 - ?50,000.00 per month

Benefits:

Flexible schedule Paid sick time Paid time off
Work Location: In person