Search by job, company or skills

AI Engineer

AI Engineer

codeninja inc.
3-5 Years
Not Disclosed

This job is no longer accepting applications

Job Description

About The Company

CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems. With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs. Recognized among Pakistan's fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.

About The Role

We are looking for a hands-on AI Engineer responsible for designing, developing, and operating AI-powered software systems that deliver immediate, real-world value. This role sits at the intersection of software engineering, product engineering, and applied artificial intelligence, with a strong focus on practical implementation rather than research or theoretical model development. As part of CodeNinja's AI-first operating model, you will leverage LLMs, AI agents, and automation to fundamentally improve how software is built, deployed, and operated.

Key Responsibilities

  • Prompt Engineering: Design, test, and optimize complex prompts for accurate financial text and data extraction
  • Data Visualization: Command generative AI tools and programmatic code to output rich analytics charts
  • Process Automation: Build autonomous LLM workflows and agents to replace manual reporting processes
  • Model Customization: Fine-tune or apply RAG (Retrieval-Augmented Generation) to models using financial documentation
  • Data Processing: Clean, manipulate, and restructure raw financial files into optimized prompt payloads

Requirements

  • Experience: 3+ years in AI, data science and software engineering, with practical experience in banking projects
  • Core Languages: Advanced Python (Pandas, NumPy, Matplotlib, Seaborn, LangChain, LlamaIndex)
  • AI Tooling: Extensive hands-on experience with commercial LLMs, vector databases, and DataRobot, SAS EG

Why Join Us

  • Work at the forefront of AI-first software engineering, redefining how software is built today.
  • Build real, production-grade AI-enabled systems with measurable impact.
  • Operate with high ownership and autonomy, amplified by powerful AI tools.
  • Collaborate with talented engineers and product leaders in an innovation-driven environment.
  • Be part of a culture that values execution, learning, and engineering excellence.

Disclaimer

CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, and performance. Female and minorities are strongly encouraged and preferred to apply for the role.

More Info

Job Type:
Industry:
Employment Type:

Key Skills

LangChain

vector databases

commercial LLMs

LlamaIndex

DataRobot

About Company

Similar Jobs

5-7 yrs
Bengaluru, India
Skills:
Java, Github, Linux Shell Scripting, Ibm Cloud, Css3, Jenkins, React, Git, Typescript, Gcp, Docker, Terraform, Ansible, Html5, Openshift, Azure, Kubernetes, Python, AWS, Go, Podman
5-7 yrs
Delhi, India
Skills:
Phoenix, Sql, Nosql, Gcp, Docker, FastAPI, Azure, Python, AWS, LangChain, Vector databases, Arize, LangSmith, RAG agent frameworks, LLM APIs, Langfuse, LlamaIndex
7-12 yrs
Bengaluru, India
Skills:
Github, Functions, Data Modeling, Unit Testing, Pyspark, Nosql, Databases, Software Development Lifecycle, Docker, Python, AWS, Triggers, Sql, Numpy, Pandas, Gcp, Databricks, FastAPI, Azure, Kubernetes, embeddings, functional programming, SQL optimization, schema creation, Normalization, LLMs, cloud platforms, prompt engineering, Generative AI solutions, database architecture design, retrieval techniques
4-6 yrs
Delhi, India
Skills:
Java, Tensorflow, Data Science, Machine Learning, System Architecture, Pytorch, Python, R, scikit-learn, Ai