Asks for

The ad says“Designing and building LLM-powered features and pipelines (RAG, agents, tool use, multi-step reasoning chains)”
The ad says“Implement background tasks and asynchronous processing to optimize system performance.”
The ad says“We are looking for a skilled AI Engineer with a strong background in FastAPI framework and experience in handling background tasks. The ideal candidate will be responsible for designing, implementing, and maintaining robust, scalable APIs for our [product/service]. You will collaborate closely with cross-functional teams to deliver high-quality solutions that meet our clients' needs.”
The ad says“Working with LLM APIs (Claude, OpenAI, etc.) and orchestration frameworks”
The ad says“Implementing guardrails, content filtering, and responsible AI patterns”
The ad says“Context engineering — structuring prompts, managing context windows, optimizing token usage, implementing retrieval strategies to feed LLMs the right information at the right time”
The ad says“Building evaluation and testing frameworks for LLM outputs (accuracy, hallucination detection, regression testing)”
The ad says“We are looking for a skilled AI Engineer with a strong background in FastAPI framework and experience in handling background tasks. The ideal candidate will be responsible for designing, implementing, and maintaining robust, scalable APIs for our [product/service]. You will collaborate closely with cross-functional teams to deliver high-quality solutions that meet our clients' needs.”
The ad says“Implementing guardrails, content filtering, and responsible AI patterns”
The ad says“Building evaluation and testing frameworks for LLM outputs (accuracy, hallucination detection, regression testing)”
The ad says“Working with LLM APIs (Claude, OpenAI, etc.) and orchestration frameworks”
The ad says“Designing and building LLM-powered features and pipelines (RAG, agents, tool use, multi-step reasoning chains)”
The ad says“Proficiency in MongoDB database management systems.”
The ad says“Designing and building LLM-powered features and pipelines (RAG, agents, tool use, multi-step reasoning chains)”
The ad says“Working with LLM APIs (Claude, OpenAI, etc.) and orchestration frameworks”
The ad says“Working with LLM APIs (Claude, OpenAI, etc.) and orchestration frameworks”
The ad says“Context engineering — structuring prompts, managing context windows, optimizing token usage, implementing retrieval strategies to feed LLMs the right information at the right time”
The ad says“2-4 years of experience in Python development.”
The ad says“Designing and building LLM-powered features and pipelines (RAG, agents, tool use, multi-step reasoning chains)”
The ad says“Building evaluation and testing frameworks for LLM outputs (accuracy, hallucination detection, regression testing)”
The ad says“Implementing guardrails, content filtering, and responsible AI patterns”
The ad says“Designing and building LLM-powered features and pipelines (RAG, agents, tool use, multi-step reasoning chains)”

We are looking for a skilled AI Engineer with a strong background in FastAPI framework and experience in handling background tasks. The ideal candidate will be responsible for designing, implementing, and maintaining robust, scalable APIs for our [product/service]. You will collaborate closely with cross-functional teams to deliver high-quality solutions that meet our clients' needs.

Key Responsibilities:

Develop and maintain APIs using the FastAPI framework.
Implement background tasks and asynchronous processing to optimize system performance.

Designing and building LLM-powered features and pipelines (RAG, agents, tool use, multi-step reasoning chains)
Context engineering — structuring prompts, managing context windows, optimizing token usage, implementing retrieval strategies to feed LLMs the right information at the right time
Working with LLM APIs (Claude, OpenAI, etc.) and orchestration frameworks
Building evaluation and testing frameworks for LLM outputs (accuracy, hallucination detection, regression testing)
Implementing guardrails, content filtering, and responsible AI patterns
Optimizing latency and cost for LLM-heavy workloads (caching, streaming, batching)
Write clean, efficient, and maintainable code that adheres to industry best practices.

Requirements

Bachelor's degree in Computer Science, Engineering, or related field.
2-4 years of experience in Python development.
Proven experience with FastAPI framework.
Proficiency in MongoDB database management systems.
Excellent problem-solving and communication skills.
Ability to work effectively both independently and as part of a team.
Experience with version control systems (e.g., Git) is a plus.

Benefits

Market-competitive salary – rewarding your contributions fairly.
Global team experience – collaborate with talented professionals worldwide.
Exposure in AI – Opportunity for upscaling in AI technologies and techniques.
Health insurance & wellness perks – including fitness reimbursements.
Paid leaves – including parental, maternity, and wedding leaves.
Annual company retreat – connect, network, and recharge with the team.

Join us and be part of an innovative, fast-growing company where your work makes a real impact!

Asks for

Values