Senior GenAI Engineer

Merci Technologies, Inc.; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Merci Technologies is seeking a Senior Generative AI Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging LLMs, RAG, and agentic workflows. The role requires hands-on engineering with OpenAI, Azure OpenAI, Anthropic, LangChain, and vector databases.

The ideal candidate will lead production-grade AI projects, collaborate with data teams and solution architects, and ensure scalable, secure deployments in a remote/offshore setting.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
• Master's degree preferred.
• 5+ years of software engineering experience.
• 2+ years of hands-on Generative AI development.
• Experience deploying AI solutions in production environments.
• Strong understanding of ML concepts and LLM architectures.

Responsibilities

• Design and develop Generative AI solutions for enterprise clients.
• Build and optimize RAG pipelines using vector databases and semantic search.
• Develop AI-powered chatbots, copilots, and knowledge management solutions.
• Integrate LLMs with enterprise applications, APIs, and data sources.
• Engineer prompt frameworks for accuracy, reliability, and performance.
• Implement evaluation and monitoring mechanisms for AI applications.
• Create scalable APIs and microservices supporting AI workloads.
• Collaborate with data engineers and cloud architects to deploy AI solutions.
• Ensure security, compliance, and responsible AI practices.
• Document technical designs, architecture decisions, and development standards.

Skills

Python

FastAPI

OpenAI API

Azure OpenAI

Prompt Engineering

REST APIs

Git

Docker

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Master's degree preferred

Tools

LangChain

Vector Databases (Pinecone, Weaviate, Chroma, Qdrant, Milvus)

Job description

Position Overview

Merci Technologies is seeking an experienced Senior Generative AI Engineer to design, develop, and deploy enterprise-grade AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic workflows, and modern AI platforms.

Location: Offshore (Remote)
Employment Type: Contract / Contract-to-Hire / Full-Time
Client: Confidential (Through Merci Technologies)

The ideal candidate will have strong experience building production-ready AI applications using OpenAI, Azure OpenAI, Anthropic, LangChain, vector databases, and cloud-native technologies. This role requires hands-on engineering expertise as well as the ability to collaborate with business stakeholders, data teams, and solution architects.

Key Responsibilities

• Design and develop Generative AI solutions for enterprise clients.
• Build and optimize RAG pipelines using vector databases and semantic search.
• Develop AI-powered chatbots, copilots, and knowledge management solutions.
• Integrate LLMs with enterprise applications, APIs, and data sources.
• Engineer prompt frameworks for accuracy, reliability, and performance.
• Implement evaluation and monitoring mechanisms for AI applications.
• Create scalable APIs and microservices supporting AI workloads.
• Collaborate with data engineers and cloud architects to deploy AI solutions.
• Ensure security, compliance, and responsible AI practices.
• Document technical designs, architecture decisions, and development standards.

Required Qualifications

Education

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
• Master's degree preferred.

Experience

• 5+ years of software engineering experience.
• 2+ years of hands-on Generative AI development.
• Experience deploying AI solutions in production environments.
• Strong understanding of machine learning concepts and LLM architectures.

Technical Skills

Must Have

• Python
• FastAPI or Flask
• LangChain or LangGraph
• OpenAI API
• Azure OpenAI
• Prompt Engineering
• Vector Databases (Pinecone, Weaviate, Chroma, Qdrant, or Milvus)
• REST APIs
• Git
• Docker

Preferred

• Anthropic Claude
• Google Gemini
• Hugging Face
• Semantic Kernel
• Kubernetes
• Azure AI Foundry
• AWS Bedrock
• MLOps
• CI/CD Pipelines

Preferred Certifications

• Microsoft Azure AI Engineer Associate
• Microsoft Azure Solutions Architect Expert
• AWS Machine Learning Specialty
• Databricks Generative AI Certification

Soft Skills

• Excellent communication skills.
• Ability to translate business requirements into technical solutions.
• Strong analytical and problem-solving skills.
• Ability to work effectively in a remote, distributed team environment.
• Self-starter with strong ownership mentality.

Success Measures

Within the first 90 days, the successful candidate will:

• Deliver at least one production-ready AI solution.
• Build scalable RAG-based applications.
• Improve LLM response quality through advanced prompting techniques.
• Contribute to reusable AI frameworks and accelerators.
• Support client-facing AI initiatives and proofs of concept.