Data Engineer- 1630

We are seeking a highly skilled AI Engineer to design, develop, and deploy intelligent AI-powered solutions using Large Language Models (LLMs), AI Agents, Retrieval Augmented Generation (RAG), and vector databases. The ideal candidate will have hands-on experience building production-grade AI applications in Python and implementing scalable AI workflows that solve real-world business challenges.

Key Responsibilities

• Design and develop AI-powered applications using Large Language Models (LLMs) and Generative AI technologies.
• Build and orchestrate AI Agent workflows for complex business processes and task automation.
• Develop AI verification and evaluation frameworks to ensure reliability, accuracy, safety, and governance of AI systems.
• Design and implement Retrieval Augmented Generation (RAG) pipelines for enterprise knowledge management and search use cases.
• Develop backend services and AI integrations using Python.
• Implement and optimize vector search solutions using PG Vector and other vector databases.
• Integrate AI solutions with enterprise applications, APIs, and data platforms.
• Fine-tune prompts, optimize model performance, and improve response quality.
• Monitor, troubleshoot, and enhance deployed AI applications to ensure scalability and performance.
• Collaborate with product managers, architects, and business stakeholders to translate business requirements into AI-driven solutions.
• Stay updated with emerging AI, GenAI, Agentic AI, and LLM technologies.

Required Skills

Technical Skills

• Strong proficiency in Python development.
• Experience with LLM application development using OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source models.
• Hands-on experience building AI Agents and multi-agent workflows.
• Expertise in RAG architecture, document ingestion, chunking strategies, embeddings, and retrieval optimization.
• Experience with PG Vector and vector similarity search.
• Knowledge of prompt engineering and model evaluation techniques.
• Familiarity with AI orchestration frameworks such as: 

LangChain

LangGraph

LlamaIndex

Semantic Kernel

CrewAI (preferred)

• Experience in API development and integration.

Good to Have

• Experience with Azure AI Services, AWS AI/ML, or Google Cloud AI.
• Knowledge of MLOps and AI deployment practices.
• Familiarity with Docker, Kubernetes, and CI/CD pipelines.
• Understanding of AI governance, Responsible AI, and model monitoring.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 4-8 years of software development experience, with significant exposure to AI/ML and Generative AI technologies.
• Proven experience delivering enterprise-scale AI solutions.

Preferred Candidate Profile

• Strong problem-solving and analytical skills.
• Excellent communication and stakeholder management abilities.
• Passion for emerging AI technologies and innovation.
• Ability to work in a fast-paced, collaborative environment.