Mindlance
Sr. Gen AI/ML Engineer (Prefer Local-DMV)
Mindlance, Washington, District of Columbia, us, 20022
This range is provided by Mindlance. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$70.00/hr - $75.00/hr Direct message the job poster from Mindlance Position details
Location: Washington, DC 20433 Duration: Long Term 4 Days onsite per week from Day1 Interview Mode: In-Person Summary
We are seeking a GenAI Engineer to help deliver various Generative AI use cases. The ideal candidate should have a strong system architecture background in the data science domain, solid Python programming skills, and hands-on experience with Azure OpenAI and cognitive service integrations. Experience with Agentic AI frameworks and Microsoft Copilot integrations is highly preferred. Key responsibilities
Act as a GenAI Developer with deep experience in developing AI/ML models, including LLMs and RAG-based architectures. Design, build, and optimize scalable data and ML pipelines in Python. Develop, train, deploy, and monitor AI/ML and generative AI models using Azure Machine Learning and Azure OpenAI. Collaborate with data scientists, solution architects, and product teams to deliver enterprise-grade ML solutions. Hands-on experience with Azure OpenAI and Azure ML services (Data Factory, Databricks, Synapse). Must have real-world experience in prompt engineering, fine-tuning GPT models, and building RAG-based solutions. Proven experience with Agentic AI frameworks such as LangChain, LangGraph, or similar agent orchestration tools. Solid experience in Python programming (Pandas, NumPy, PySpark, etc.). Knowledge and experience working with Microsoft 365 Copilot extensibility (Graph connectors, plugins, prompts). Strong background in chatbot development, including integration of OpenAI GPT models and conversational AI flows. Open-source contributions related to LLMs or chatbot frameworks are a strong plus. Ability to collaborate with cross-functional teams to deliver end-to-end GenAI solutions. Qualifications
Experience with Azure OpenAI and Azure ML services (Data Factory, Databricks, Synapse). Proficiency in Python (Pandas, NumPy, PySpark). Experience with prompt engineering and GPT fine-tuning. Experience with Agentic AI frameworks (e.g., LangChain, LangGraph). Knowledge of Microsoft 365 Copilot extensibility. Proven track record in chatbot development and conversational AI deployments. Details
Seniority level: Mid-Senior level Employment type: Contract Job function: Information Technology Industries: Staffing and Recruiting, Banking, and Financial Services Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
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$70.00/hr - $75.00/hr Direct message the job poster from Mindlance Position details
Location: Washington, DC 20433 Duration: Long Term 4 Days onsite per week from Day1 Interview Mode: In-Person Summary
We are seeking a GenAI Engineer to help deliver various Generative AI use cases. The ideal candidate should have a strong system architecture background in the data science domain, solid Python programming skills, and hands-on experience with Azure OpenAI and cognitive service integrations. Experience with Agentic AI frameworks and Microsoft Copilot integrations is highly preferred. Key responsibilities
Act as a GenAI Developer with deep experience in developing AI/ML models, including LLMs and RAG-based architectures. Design, build, and optimize scalable data and ML pipelines in Python. Develop, train, deploy, and monitor AI/ML and generative AI models using Azure Machine Learning and Azure OpenAI. Collaborate with data scientists, solution architects, and product teams to deliver enterprise-grade ML solutions. Hands-on experience with Azure OpenAI and Azure ML services (Data Factory, Databricks, Synapse). Must have real-world experience in prompt engineering, fine-tuning GPT models, and building RAG-based solutions. Proven experience with Agentic AI frameworks such as LangChain, LangGraph, or similar agent orchestration tools. Solid experience in Python programming (Pandas, NumPy, PySpark, etc.). Knowledge and experience working with Microsoft 365 Copilot extensibility (Graph connectors, plugins, prompts). Strong background in chatbot development, including integration of OpenAI GPT models and conversational AI flows. Open-source contributions related to LLMs or chatbot frameworks are a strong plus. Ability to collaborate with cross-functional teams to deliver end-to-end GenAI solutions. Qualifications
Experience with Azure OpenAI and Azure ML services (Data Factory, Databricks, Synapse). Proficiency in Python (Pandas, NumPy, PySpark). Experience with prompt engineering and GPT fine-tuning. Experience with Agentic AI frameworks (e.g., LangChain, LangGraph). Knowledge of Microsoft 365 Copilot extensibility. Proven track record in chatbot development and conversational AI deployments. Details
Seniority level: Mid-Senior level Employment type: Contract Job function: Information Technology Industries: Staffing and Recruiting, Banking, and Financial Services Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
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