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Alaan
Alaan

AI Engineer

Bengaluru, India
2+ years exp
Full-time
Posted 5d ago
1 views
Actively Hiring Urgent Opening Direct 1-Click Apply

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Job Description

About the role

As an AI Engineer, you will own the development of production-grade AI applications - from early experimentation and prototyping to evaluation, deployment, and continuous improvement.

This is not a pure research position. You will be expected to combine strong software engineering fundamentals with hands-on experience building applications using large language models and modern AI infrastructure.

You will work on problems such as extracting and structuring financial data, automating expense workflows, building intelligent assistants, and helping customers interact more effectively with their financial information.

What you'll do

  • Design, build, and deploy AI-powered features across Alaan’s products.
  • Create reliable workflows for prompt management, model orchestration, tool calling, and structured outputs.
  • Build backend services and APIs that integrate AI capabilities into production applications.
  • Develop evaluation frameworks to measure the accuracy, relevance, reliability, latency, and cost of AI outputs.
  • Experiment with different models, prompting techniques, embeddings, retrieval strategies, and fine-tuning approaches.
  • Implement appropriate safeguards for sensitive financial and customer information.
  • Monitor AI systems in production and continuously improve their performance using user feedback and evaluation data.
  • Collaborate with Product Managers, Designers, Data teams, and Backend Engineers to identify high-impact AI use cases.
  • Stay informed about developments in applied AI and determine which technologies are genuinely useful for Alaan.

What we are looking for

  • MUST HAVES:
  • 2+ years of software engineering experience, with meaningful hands-on experience building AI or machine-learning-powered applications.
  • Strong programming skills in both

Python

and

Node.js,

with experience using them to build production-grade AI applications and backend services.

  • Hands-on experience with

AWS SageMaker

for developing, training, deploying, and monitoring machine learning or AI workloads.

  • Proficiency with

Jupyter Notebooks

for data exploration, experimentation, model development, and prototyping.

  • Hands-on experience with

Weights & Biases (W&B)

for experiment tracking, model evaluation, versioning, and performance monitoring.

  • Hands-on experience working with large language models and their APIs.
  • Practical understanding of prompt engineering, embeddings, vector search and RAG.
  • Hands-on experience with prompt version control and management of a complete lifecycle of individual business use cases end to end.
  • Experience with databases such as PostgreSQL, MongoDB and at least vector database or vector-search solution like

OpenSearch

.

  • Experience evaluating AI applications beyond manual testing or subjective output reviews.
  • Familiarity with cloud platforms such as

AWS

, GCP, or Azure.

  • Good understanding of software engineering principles, including testing, version control, observability, scalability, and security.
  • Strong product judgement and the ability to translate loosely defined business problems into practical AI solutions.
  • Ability to move quickly between experimentation and production-quality implementation.
  • GOOD TO HAVES:
  • Experience with frameworks such as LangChain, PromptFoo, LangFuse, or similar AI orchestration tools.
  • Experience with model evaluation, guardrails, observability, and monitoring platforms.
  • Experience with Snowflake or a similar data warehouse/lake.
  • Experience fine-tuning, adapting, or serving open-source models.
  • Experience working with document intelligence, OCR, classification, recommendation systems, or conversational AI.
  • Experience with harnesses and agent loops (experience with self healing harness setups is a bonus)
  • Experience building AI products involving financial, accounting, or other sensitive data.
  • Previous experience in a fintech, SaaS, or high-growth startup environment.

What's in it for you

  • Contribute to building the Middle East’s most beloved fintech brand from the ground up
  • Benefit from a role with significant ownership and accountability
  • Thrive in a flexible hybrid culture with ample work-life balance
  • Participate in exciting offsite events
  • Competitive salary and equity
  • Enjoy additional perks like travel allowances, gym memberships, and more

Key Requirements & Skills

  • 2+ years of software engineering experience with meaningful hands-on experience building AI or ML-powered applications
  • Strong programming skills in Python and Node.js for production-grade AI applications and backend services
  • Hands-on experience with AWS SageMaker for developing, training, deploying, and monitoring ML/AI workloads
  • Proficiency with Jupyter Notebooks for data exploration, experimentation, and prototyping
  • Hands-on experience with Weights & Biases (W&B) for experiment tracking, evaluation, and monitoring
  • Hands-on experience working with large language models and their APIs
  • Practical understanding of prompt engineering, embeddings, vector search and RAG
  • Hands-on experience with prompt version control and managing the end-to-end lifecycle of business use cases
  • Experience with PostgreSQL, MongoDB, and at least vector database or vector-search solution like OpenSearch
  • Experience evaluating AI applications beyond manual testing or subjective output reviews
  • Familiarity with cloud platforms such as AWS, GCP, or Azure
  • Good understanding of software engineering principles: testing, version control, observability, scalability, and security
  • Strong product judgement to translate loosely defined business problems into practical AI solutions
  • Ability to move quickly between experimentation and production-quality implementation
  • Experience with frameworks such as LangChain, PromptFoo, LangFuse, or similar AI orchestration tools
  • Experience with model evaluation, guardrails, observability, and monitoring platforms
  • Experience with Snowflake or a similar data warehouse/lake
  • Experience fine-tuning, adapting, or serving open-source models
  • Experience with document intelligence, OCR, classification, recommendation systems, or conversational AI
  • Experience with harnesses and agent loops (self-healing harness setups a bonus)
  • Experience building AI products involving financial, accounting, or other sensitive data
  • Previous experience in a fintech, SaaS, or high-growth startup environment

Frequently Asked Questions

How to apply for AI Engineer at Alaan?

Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.

What is the salary for this role?

Salary details will be discussed during the interview.

What experience is required?

2+ years of experience is required.

Is this position still open?

Yes, currently active and accepting applications.

ApplicationActively Hiring
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Alaan

Alaan

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AI Engineer

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