Generative AI Archives - Overture Partners

AI Developer
Job Overview

We are hiring an AI Developer to design and deliver production-grade AI systems that support complex, high-volume workflows. This is a hands-on role for an experienced practitioner who can translate applied AI concepts into reliable, real-world solutions within regulated environments. Candidates who demonstrate strong engineering fundamentals and end-to-end ownership of AI delivery will be well positioned for success.

Must Haves

3–7 years of professional software engineering experience with a primary focus on AI or machine learning

Strong proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or scikit-learn

Practical experience building and deploying large language model (LLM)–based solutions

Familiarity with APIs, vector databases, and orchestration tools commonly used in AI systems

Proven experience deploying and supporting models in production environments

Solid understanding of model performance, reliability, and explainability considerations

Ability to operate effectively in fast-paced, evolving technical environments

What the Client Needs You to Do

Deliver applied AI solutions that move beyond experimentation and generate measurable outcomes

Translate product and business requirements into scalable, production-ready AI systems

Collaborate closely with product, data, and engineering teams to integrate AI into core platforms

Own AI initiatives from early prototyping through deployment and ongoing improvement

Ensure AI systems meet performance, quality, and compliance expectations

Key Responsibilities

Design, develop, and deploy AI and machine learning models that support automation, prediction, and decision-making

Build and maintain LLM-driven workflows, including prompt design, retrieval mechanisms, evaluation methods, and safety controls

Integrate AI models into existing platforms and services in collaboration with engineering partners

Optimize models and pipelines for scalability, latency, accuracy, and operational stability

Implement monitoring, evaluation, and explainability practices appropriate for regulated environments

Contribute to architectural decisions related to AI systems, data pipelines, and model deployment

Diagnose and resolve issues based on production behavior and user feedback

Document system designs, assumptions, and implementation details to support long-term maintainability

Additional Information

This role is part of a small, experienced technical team with significant ownership and influence

Work involves close collaboration with technical leadership and visibility into strategic decisions

Prior experience in regulated industries such as healthcare, life sciences, or financial technology is advantageous but not required

Familiarity with MLOps practices, CI/CD pipelines, and model monitoring tools is beneficial

W2 employees of Overture Partners who work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), 401(k) starting on day one, a variety of voluntary benefits including life and disability insurance, and sick time if required by law in the worked-in state/locality.

#25296
January 5, 2026
AI & Systems Engineer
Job Overview:

We need a technically curious systems engineer who lives and breathes infrastructure, automation, and cloud (Azure, not AWS) and is ready to become the team’s go-to person for all things AI. This is not a pure development or data-science role – it’s a hybrid systems/DevOps engineer who can own the AI portfolio, bridge the gap between off-the-shelf tools and custom integrations, and keep pushing the organization forward in a pragmatic, results-driven way.

You’ll be the first person whose primary job (not a side responsibility) is driving AI-enabled solutions. Everyone else on the team has infrastructure backgrounds and touches AI only part-time, so you’ll have room to own this space and make a visible impact quickly.

Must Haves:

Strong systems engineering or DevOps experience: Windows/Linux, Active Directory, virtualization (VMware/Nutanix), networking, scripting/automation.

Real Azure experience (Azure AD/Entra, Azure VMs, Azure SQL, Azure Storage, Azure Networking, Azure Policy, etc.). AWS experience alone won’t translate.

Comfort with REST APIs, SDKs, SQL/querying data sources, and basic data pipelines.

Scripting/programming capability in Python and/or PowerShell – you don’t have to be a full-stack developer, but you need to be able to glue systems together confidently.

Experience building or supporting production-grade automation and infrastructure.

7 years of combined professional IT/infrastructure experience (we count relevant internships and even strong senior-year academic projects if the aptitude is there).

AI-Specific Experience We’re Looking For:

You do NOT need years of formal AI/ML titles, but you must be able to show you’ve actually shipped something real with LLMs or Copilot-style tools.

Examples that impress us:

Built internal tools using OpenAI/Anthropic APIs or Azure OpenAI Service.

Deployed and customized Microsoft Copilot (or Copilot Studio agents).

Connected an LLM to internal data sources via retrieval-augmented generation (RAG).

Automated workflows with prompt chaining, function calling, or LangChain-style frameworks.

Experimented heavily with Databricks, Fabric, or similar for AI workloads.

Nice-to-Haves (Not Required)

Microsoft 365 administration or engineering experience.

Exposure to Databricks, Microsoft Fabric, or Semantic Kernel.

Previous experience in professional services, financial services, or other regulated industries.

Familiarity with Cohesity, Rubrik, or hyper-converged infrastructure.

What the Client Needs You to do:

Deploy, configure, and operationalize AI-powered tools (Microsoft Copilot ecosystem, custom agents, Retrieval-Augmented Generation solutions, etc.) inside our Azure environment.

Design and automate workflows that connect internal data sources, APIs, SQL databases, and LLMs (OpenAI, Anthropic, Azure OpenAI, etc.).

Build and maintain reusable automation (Python, PowerShell, Azure Logic Apps, Azure Functions, Infrastructure-as-Code).

Partner with application teams and business units to translate needs into working solutions – you’ll do light project management and a lot of “let me try this and show you what’s possible.”

Own monitoring, performance tuning, security, and governance of everything you deploy.

Research emerging tools and prove/disprove their value with quick proofs-of-concept.

Document everything extremely well (we run like an engineering team, not like traditional IT).

Participate in 24×7 on-call rotation (roughly one week every 6–8 weeks).

Additional Information:

Bachelor’s degree preferred but not required with exceptional experience.

Eligible to work in the United States without sponsorship.

W2 employees of Overture Partners who work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), 401(k) starting on day one, a variety of voluntary benefits including life and disability insurance, and sick time if required by law in the worked-in state/locality.

#25239
November 18, 2025
Prompt Engineer- Pipeline
Our company is at the forefront of AI technology, specializing in the development and refinement of conversational AI and language models. We are dedicated to advancing the field of AI through innovative solutions and cutting-edge research. Our team values creativity, expertise in natural language processing, and a passion for developing intelligent and responsive AI systems.

We are looking for a talented Prompt Engineer to join our team. In this role, you will focus on designing, developing, and optimizing prompts to effectively interact with AI language models. The ideal candidate will have a strong background in linguistics, natural language processing, and a deep understanding of AI conversational flows.

Key Responsibilities:
- Design and develop effective prompts to elicit desired responses from AI language models.
- Analyze and refine prompt strategies based on performance metrics and user feedback.
- Collaborate with AI researchers and developers to integrate prompt engineering techniques into AI models.
- Stay updated on the latest developments in AI and natural language processing.
- Conduct A/B testing to optimize prompt designs for various applications.
- Develop guidelines and best practices for prompt engineering.
- Provide insights and recommendations to improve AI conversational abilities.
- Document and present prompt engineering processes and outcomes.
Qualifications:
- Bachelor’s or Master’s degree in Linguistics, Computer Science, AI, or a related field.
- Experience in AI, natural language processing, or a similar role.
- Strong understanding of conversational AI and language model functioning.
- Excellent analytical and problem-solving skills.
- Experience with programming languages such as Python or JavaScript is a plus.
- Creative mindset with strong communication and collaboration skills.
- Ability to work independently and manage multiple projects simultaneously.
Summary:

Create and optimize prompts for effective interaction with AI language models, requiring expertise in linguistics, natural language processing, and AI conversational flows. Key responsibilities include designing prompts, refining strategies based on feedback and metrics, collaborating with AI teams, staying current with AI developments, conducting A/B testing, and developing prompt engineering guidelines.

JOB-24369
October 8, 2025
Machine Learning Engineer- Pipeline
At the cutting edge of technology and innovation, our company specializes in developing advanced machine learning solutions to solve real-world problems. We are dedicated to transforming industries through intelligent data-driven insights and predictive analytics. Our team values creativity, collaboration, and a passion for technological advancements in the field of artificial intelligence and machine learning.

We are seeking a talented and experienced Machine Learning Engineer to join our dynamic team. This role involves designing and implementing machine learning models and algorithms to drive innovation and efficiency in our products and services. The ideal candidate will have a strong foundation in machine learning, data science, and software engineering.

Key Responsibilities:
- Design, develop, and deploy machine learning models and algorithms.
- Collaborate with cross-functional teams to integrate machine learning solutions into our products and services.
- Analyze large, complex datasets to extract insights and inform model development.
- Continuously evaluate and improve the performance of machine learning models.
- Stay up-to-date with the latest machine learning techniques and advancements.
- Develop scalable and efficient data pipelines.
- Communicate findings and insights to stakeholders and team members.
- Contribute to the continuous improvement of our machine learning practices and methodologies.
Qualifications:
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven experience as a Machine Learning Engineer or similar role.
- Strong programming skills in Python, R, or similar languages.
- Deep understanding of machine learning algorithms and principles.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
- Excellent analytical and problem-solving abilities.
- Strong communication and collaboration skills.
- Knowledge of data structures, data modeling, and software architecture.
- Experience with big data technologies and cloud platforms is a plus.
Summary:

Design and implement machine learning models and algorithms, enhancing innovation and efficiency in products and services. Key duties include developing and deploying models, analyzing complex data, continuously improving model performance, and staying updated with the latest machine learning advancements.

JOB-24367
October 4, 2025
Director of AI Engineering – Pipeline
Join an innovative and dynamic team in stealth mode, dedicated to pushing the boundaries of AI technology. Our company is committed to creating cutting-edge solutions that address complex challenges across various industries. We value creativity, collaboration, and a forward-thinking mindset in our quest to revolutionize the field of artificial intelligence.

We are seeking a visionary Director of AI Engineering to lead our AI engineering team. This role involves strategic oversight of AI projects, leading the development of advanced AI algorithms, and driving the implementation of AI solutions in alignment with our business objectives.

Key Responsibilities:
- Lead and mentor a team of AI engineers and data scientists.
- Oversee the design, development, and deployment of AI models and algorithms.
- Collaborate with cross-functional teams to integrate AI solutions into broader product offerings.
- Stay abreast of emerging trends and advancements in AI and machine learning.
- Develop and manage the AI engineering team’s roadmap and objectives.
- Ensure adherence to best practices in AI ethics and data privacy.
- Liaise with stakeholders to translate business needs into AI-driven solutions.
- Foster an innovative and collaborative work environment.
Qualifications:
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- At least 10 years of experience in AI and machine learning, with a proven track record in leading AI projects.
- Strong expertise in AI technologies, including deep learning, NLP, computer vision, and predictive modeling.
- Demonstrated experience in leading and managing a technical team.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal abilities.
- Familiarity with cloud computing platforms and AI development tools.
Summary:

Lead and guide the AI engineering team, focusing on the development and implementation of AI algorithms and solutions that align with business objectives. Responsibilities include overseeing AI model development, collaborating with various teams, staying updated on AI trends, managing team objectives, ensuring ethical practices, and fostering innovation
JOB-24366
October 4, 2025
Natural Language Processing Engineer- Pipeline
Our company is at the forefront of artificial intelligence, specializing in the development of cutting-edge natural language processing technologies. We are dedicated to advancing how machines understand and interact with human language, transforming communication and data analysis across various industries. We value innovation, precision, and a collaborative approach in our quest to develop intelligent NLP solutions.

We are looking for a skilled Natural Language Processing Engineer to join our team. This role involves developing and implementing NLP systems that can effectively interpret, analyze, and understand human language. The ideal candidate will have a deep understanding of NLP techniques and a passion for solving complex linguistic and computational challenges.

Key Responsibilities:
- Design and develop NLP systems and applications.
- Implement algorithms to process and analyze large amounts of natural language data.
- Develop systems for text representation, semantic extraction, data retrieval, and natural language understanding.
- Collaborate with cross-functional teams to integrate NLP capabilities into products and services.
- Continuously update and maintain NLP models for accuracy and efficiency.
- Conduct research and stay updated on the latest advancements in NLP.
- Evaluate and refine NLP systems based on user feedback and performance metrics.
- Document NLP processes and algorithms for knowledge sharing.
Qualifications:
- Master’s or Ph.D. in Computational Linguistics, Computer Science, AI, or related fields.
- Proven experience as an NLP Engineer or similar role.
- Strong programming skills in Python, Java, or similar languages.
- Experience with NLP tools and frameworks (e.g., NLTK, SpaCy, TensorFlow).
- Deep understanding of text representation techniques (e.g., n-grams, bag of words, sentiment analysis).
- Familiarity with machine learning algorithms and concepts.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Experience with machine learning and deep learning approaches to NLP is advantageous.
Summary:

Develop systems capable of interpreting and analyzing human language, requiring a deep understanding of NLP techniques and a passion for tackling linguistic and computational challenges. Responsibilities include designing NLP systems, implementing algorithms for natural language data analysis, maintaining model accuracy, and collaborating with teams to integrate NLP into various products and services.

JOB-24368
October 4, 2025