AI Engineer

Job Description – AI Engineer

Position: AI Engineer

Experience: 2 - 5 Years (Mid-Level)

Location: Onsite - Hyderabad

Employment Type: Full-Time

About the Role

We are looking for an AI Engineer to design, develop, and deploy AI-powered solutions for our clients across various industries. The ideal candidate should have experience with Generative AI, Large Language Models (LLMs), machine learning, chatbot development, and AI integrations. The candidate will work closely with business analysts, project managers, and development teams to deliver scalable AI applications.

Key Responsibilities

• Design and develop AI-powered applications and solutions for client projects.
• Build and integrate Generative AI solutions using OpenAI, Claude, Gemini, and open-source LLMs.
• Develop AI chatbots, virtual assistants, and intelligent automation workflows.
• Create Retrieval-Augmented Generation (RAG) systems using vector databases.
• Fine-tune, evaluate, and optimize AI models for client-specific use cases.
• Integrate AI services with web and mobile applications through APIs.
• Develop prompt engineering strategies to improve AI response quality.
• Build document processing, OCR, and knowledge management solutions.
• Collaborate with clients to understand business requirements and translate them into technical solutions.
• Monitor AI applications for performance, scalability, security, and cost optimization.
• Stay updated with the latest advancements in AI, machine learning, and Generative AI technologies.

Required Skills

AI & Machine Learning

• Strong understanding of Machine Learning and Deep Learning concepts.
• Experience with Large Language Models (LLMs).
• Hands-on experience with RAG architecture.
• Knowledge of prompt engineering techniques.
• Experience with NLP and text-processing pipelines.

Programming

• Python (Mandatory)
• React
• JavaScript/TypeScript (Preferred)
• Experience with REST APIs and Microservices.

AI Frameworks & Tools

• LangChain
• LlamaIndex
• OpenAI APIs
• Anthropic Claude APIs
• Google Gemini APIs
• Hugging Face
• Ollama
• TensorFlow or PyTorch

Vector Databases

• Pinecone
• ChromaDB
• Weaviate
• FAISS

Cloud & DevOps

• AWS / Azure / GCP
• Docker
• CI/CD Pipelines
• Git

Databases

• PostgreSQL
• MongoDB
• Redis

Preferred Qualifications

• Bachelor’s degree in Computer Science, IT, AI, or related field.
• Experience delivering AI solutions in a services-based organization.
• Experience working directly with international clients.
• Understanding of software development lifecycle (SDLC) and Agile methodologies.
• Knowledge of AI governance, security, and compliance practices.

Good to Have

• AI Agent development using LangGraph, CrewAI, or AutoGen.
• Multi-agent systems.
• Speech-to-Text and Text-to-Speech integrations.
• Experience building AI solutions for healthcare, education, Fintech, or e-commerce domains.

Key Performance Indicators (KPIs)

• Successful delivery of AI projects within timelines.
• AI solution accuracy and performance metrics.
• Client satisfaction and adoption rates.
• Optimization of AI infrastructure and API costs.
• Innovation and contribution to reusable AI accelerators/frameworks.

Services Company Experience Expectations

The candidate should have:

• Experience handling multiple client projects simultaneously.
• Ability to understand business requirements and propose AI solutions.
• Experience creating Proof of Concepts (POCs) and MVPs.
• Strong communication skills for client meetings and demonstrations.
• Experience preparing technical estimates, solution architectures, and project documentation.