Join us in building intelligent AI-driven applications that transform how users interact with data. Were looking for a hands-on AI Engineer with 2 3 years of experience who is excited about working with Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) and conversational AI systems. This role focuses on developing integrating and iterating on AI-powered solutions in a fast-moving collaborative environment.
Responsibilities:
- Design and build AI-powered applications and conversational agents using LLMs to interact with structured data sources (SQL databases Snowflake etc.).
- Develop and integrate RAG pipelines using vector databases such as Pinecone FAISS ChromaDB or similar tools.
- Build conversational workflows using AI orchestration frameworks like LangChain LlamaIndex or equivalent libraries.
- Implement natural language to SQL or data-querying capabilities under guidance from senior engineers.
- Integrate AI applications with external tools APIs and data sources; exposure to agent frameworks or tool-based AI patterns is a plus.
- Collaborate with data engineers product managers and business stakeholders to translate requirements into working AI prototypes and features.
- Support deployment monitoring and optimization of AI applications with guidance following established engineering and MLOps practices.
- Assist with testing evaluation and iteration of AI models and workflows to improve accuracy relevance and user experience.
- Stay current with emerging GenAI tools models and best practices and apply learnings to real-world use cases.
Required Qualifications:
- 2 3 years of hands-on experience in AI/ML software engineering or applied GenAI development.
- Strong Python programming skills including experience building APIs or backend services.
- Hands-on experience working with LLMs and GenAI APIs (OpenAI Azure OpenAI Anthropic Hugging Face etc.).
- Practical experience or exposure to RAG concepts embeddings and vector databases.
- Experience working with structured databases (Postgres MySQL Snowflake or similar) and writing SQL queries.
- Familiarity with modern software development practices (Git code reviews basic CI/CD concepts).
- Strong problem-solving skills and an eagerness to learn in a fast-paced environment.
Nice to Have:
- Exposure to AI orchestration or agent frameworks (LangChain LlamaIndex CrewAI etc.).
- Basic understanding of MLOps concepts (Docker CI/CD MLflow model versioning).
- Experience deploying applications on AWS Azure or GCP.
- Prior work on chatbots virtual assistants or intelligent automation solutions.
- Familiarity with BI or analytics tools (Power BI Tableau) for downstream consumption of AI outputs.
Benefits:
- Health Insurance Accident Insurance.
- The salary will be determined based on several factors including but not limited to location relevant education qualifications experience technical skills and business needs.
Additional Responsibilities:
- Participate in OP monthly team meetings and participate in team-building efforts.
- Contribute to OP technical discussions peer reviews etc.
- Contribute content and collaborate via the OP-Wiki/Knowledge Base.
- Provide status reports to OP Account Management as requested.
About us:
At OP we help you harness the power of technology for maximum impact. A technology consulting and solutions company we offer advisory and managed services innovative platforms and staffing solutions across a wide range of fields including AI cybersecurity enterprise architecture and beyond. For nearly two decades weve been challenging the status quo of the consulting industry serving up fresh ingenious thinking through a radically lean structure. Together this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.
Join us in building intelligent AI-driven applications that transform how users interact with data. Were looking for a hands-on AI Engineer with 2 3 years of experience who is excited about working with Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) and conversational AI system...
Join us in building intelligent AI-driven applications that transform how users interact with data. Were looking for a hands-on AI Engineer with 2 3 years of experience who is excited about working with Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) and conversational AI systems. This role focuses on developing integrating and iterating on AI-powered solutions in a fast-moving collaborative environment.
Responsibilities:
- Design and build AI-powered applications and conversational agents using LLMs to interact with structured data sources (SQL databases Snowflake etc.).
- Develop and integrate RAG pipelines using vector databases such as Pinecone FAISS ChromaDB or similar tools.
- Build conversational workflows using AI orchestration frameworks like LangChain LlamaIndex or equivalent libraries.
- Implement natural language to SQL or data-querying capabilities under guidance from senior engineers.
- Integrate AI applications with external tools APIs and data sources; exposure to agent frameworks or tool-based AI patterns is a plus.
- Collaborate with data engineers product managers and business stakeholders to translate requirements into working AI prototypes and features.
- Support deployment monitoring and optimization of AI applications with guidance following established engineering and MLOps practices.
- Assist with testing evaluation and iteration of AI models and workflows to improve accuracy relevance and user experience.
- Stay current with emerging GenAI tools models and best practices and apply learnings to real-world use cases.
Required Qualifications:
- 2 3 years of hands-on experience in AI/ML software engineering or applied GenAI development.
- Strong Python programming skills including experience building APIs or backend services.
- Hands-on experience working with LLMs and GenAI APIs (OpenAI Azure OpenAI Anthropic Hugging Face etc.).
- Practical experience or exposure to RAG concepts embeddings and vector databases.
- Experience working with structured databases (Postgres MySQL Snowflake or similar) and writing SQL queries.
- Familiarity with modern software development practices (Git code reviews basic CI/CD concepts).
- Strong problem-solving skills and an eagerness to learn in a fast-paced environment.
Nice to Have:
- Exposure to AI orchestration or agent frameworks (LangChain LlamaIndex CrewAI etc.).
- Basic understanding of MLOps concepts (Docker CI/CD MLflow model versioning).
- Experience deploying applications on AWS Azure or GCP.
- Prior work on chatbots virtual assistants or intelligent automation solutions.
- Familiarity with BI or analytics tools (Power BI Tableau) for downstream consumption of AI outputs.
Benefits:
- Health Insurance Accident Insurance.
- The salary will be determined based on several factors including but not limited to location relevant education qualifications experience technical skills and business needs.
Additional Responsibilities:
- Participate in OP monthly team meetings and participate in team-building efforts.
- Contribute to OP technical discussions peer reviews etc.
- Contribute content and collaborate via the OP-Wiki/Knowledge Base.
- Provide status reports to OP Account Management as requested.
About us:
At OP we help you harness the power of technology for maximum impact. A technology consulting and solutions company we offer advisory and managed services innovative platforms and staffing solutions across a wide range of fields including AI cybersecurity enterprise architecture and beyond. For nearly two decades weve been challenging the status quo of the consulting industry serving up fresh ingenious thinking through a radically lean structure. Together this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.
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