AI Engineer at Prometteur Solutions Pvt. Ltd.

Hinjawadi, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

12 May, 26

Salary

0.0

Posted On

11 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, Machine Learning, Software Engineering, Backend Development, API Design, Prompt Engineering, Data Privacy, Error Handling, Integration, Performance Optimization, Cloud Applications, Document Intelligence, Containerization, Monitoring, MLOps, Relational Databases

Industry

IT Services and IT Consulting

Description

Company Description We at Prometteur Solutions Pvt. Ltd. are a team of IT experts, who came with a promise of delivering technology-empowered business solutions. We provide world-class software and web development services that focus on playing a supportive role to your business and its holistic growth. Our highly-skilled associates and global delivery capabilities ensure the accessibility and scale to align client's technology solutions with their business needs. Our offerings span the entire IT lifecycle: from Consulting through Packaged, Custom, and Cloud Applications as well as a variety of Infrastructure Services. Job Description Job Title: AI Engineer (Applied AI / LLM) Experience: 3–4 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.

Responsibilities

The AI Engineer will design and implement AI-driven solutions based on business requirements and deliver customer-facing AI features. They will also build backend services and ensure the integration of AI services with existing systems.