AI Engineer

Job Title:
AI Engineer (Applied AI / LLM)
Experience: 34 Years
Employment Type: Full-Time

Role Overview
We are looking for an AI Engineer with 2 years of hands-on experience building and delivering
production-ready AI solutions for real customers. This role is focused on Applied AI meaning
building shipping and maintaining AI-powered features. The ideal candidate has a strong
foundation in AI/ML concepts solid software engineering skills and proven experience integrating
LLMs and AI services into scalable applications. You will work closely with product and
engineering teams to design develop and operate AI features that solve real business problems.

Key Responsibilities
AI Solution Design & Delivery
Understand business requirements and translate them into practical AI-driven solutions

Design and implement end-to-end AI workflows using existing models SDKs and APIs
Deliver customer-facing AI features with a strong focus on reliability usability and
performance

Backend & Integration
Build backend services and APIs for AI modules (language/framework agnostic)
Integrate AI services with existing systems databases and third-party tools
Collaborate with frontend engineers to ensure smooth integration and user experience

Quality Reliability & Optimization
Improve AI output quality using:
Prompt engineering and prompt versioning
Structured outputs (JSON schema-based responses)
Guardrails validations and fallbacks
Ensure production readiness by addressing:
Performance and latency optimization
Error handling retries monitoring
Cost optimization (token usage caching API efficiency)

Security & Maintainability
Follow responsible AI practices including data privacy and security basics
Maintain clean well-documented versioned AI components
Design systems that allow easy model/provider replacement when needed

Required Skills
Core Engineering Skills
Strong software engineering fundamentals (clean code modularity testing API design)

Experience building production-grade backend services in any modern backend stack
Understanding of async/non-blocking patterns and scalable service design
Robust error handling and integration readiness

AI/ML & LLM Experience
Hands-on experience using LLM APIs such as OpenAI Gemini Anthropic or similar
Experience using frameworks/tools such as LangChain LlamaIndex or equivalents
Strong understanding of prompt engineering and evaluation methodologies

Data & Storage
Experience working with unstructured datasets (PDFs documents text OCR outputs)
Experience with vector stores/vector DBs: Pinecone Weaviate Chroma FAISS etc.
Working knowledge of relational DB concepts (SQL basics)

Backend Development
Experience building secure APIs (REST/GraphQL) with authentication and integrations
Ability to integrate AI modules into microservices / monolith architectures

Must-Have Experience
2 years in applied AI AI engineering or ML-driven software development
Proven record of delivering AI features used by real customers in production
Ability to share case studies demonstrating:

Problem statement
Solution approach
Technology stack
Business impact / user outcomes

Nice to Have
Experience with OCR and document intelligence systems
Speech-to-text and text-to-speech exposure
Experience deploying systems on AWS/GCP/Azure
Containerization experience (Docker fundamentals)
Exposure to monitoring/logging/MLOps best practices

What Success Looks Like
AI features are deployed and actively used by customers
Continuous improvement in AI quality reliability and cost efficiency
AI systems are scalable maintainable and aligned with product goals

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time