Job Description
Experience: 3–5 years
Education: Bachelor’s in Computer Science, AI/ML, Data Science, Engineering, or a related
field
Location: Flexible / Hybrid
Employment Type: Full-time/ Consultant
Role Overview:
We are building agentic, domain-specific AI systems for complex, high-stakes decision
environments. We are hiring AI Engineer to design, build, and evolve end-to-end AI solutions- from early system architecture to deployable, client-ready implementations. In this role, you will work across the full lifecycle of AI systems: translating loosely defined problems into structured system designs, implementing applied ML and LLM-based workflows, and delivering reliable, explainable solutions that operate in real institutional
contexts.
This is a hands-on role with high ownership and accountability. You will help define how we
build AI - its system patterns, technical standards, and delivery philosophy- while working
closely with the founder to move solutions from concept to production.
Key Responsibilities
• Design and build end-to-end AI systems using applied ML and LLMs
• Translate ambiguous problem statements into clear system architectures
• Implement agentic workflows including task orchestration, tool use, and memory
• Build scoring, ranking, and decision logic that is auditable and explainable
• Integrate structured and unstructured data (documents, text, transcripts, logs)
• Deliver client-ready outputs such as dashboards, reports, and structured insights
• Iterate rapidly based on feedback while maintaining system reliability
• Collaborate closely with the founder on technical and architectural decisions
What This Role Is Not:
• A research or academic ML role
• A narrow data engineering position
• A pure backend or infrastructure role
• A role focused only on experimentation or demos
Required Experience & Skills:
• 3–5 years of experience as an AI Engineer, ML Engineer, or Applied ML Developer
• Strong proficiency in Python and building data-driven systems
• Hands-on experience with LLMs, embeddings, and RAG-based pipelines
• Experience combining rules, heuristics, ML models, and LLM outputs
• Ability to work with incomplete data and evolving requirements
• Strong problem-solving skills and clear technical communication
Good to Have:
• Experience building AI systems for enterprises or regulated environments
• Familiarity with agent frameworks or workflow orchestration tools
• Experience with dashboards, reporting layers, or insight delivery systems
• Startup or early-stage product experience
Why Join us:
• Be part of the founding technical core of the company
• Build AI systems used by real decision-makers, not internal demos
• Build architecture, standards, and engineering culture
• Work directly with the founder on high-impact systems
• Clear growth path into Lead AI Engineer as we scale
What We Value:
• Ownership over titles
• Speed with judgment
• Practical systems over theoretical elegance
• Responsibility, clarity, and execution
If you enjoy building AI systems that actually get deployed and used, this is the place
Education: Bachelor’s in Computer Science, AI/ML, Data Science, Engineering, or a related
field
Location: Flexible / Hybrid
Employment Type: Full-time/ Consultant
Role Overview:
We are building agentic, domain-specific AI systems for complex, high-stakes decision
environments. We are hiring AI Engineer to design, build, and evolve end-to-end AI solutions- from early system architecture to deployable, client-ready implementations. In this role, you will work across the full lifecycle of AI systems: translating loosely defined problems into structured system designs, implementing applied ML and LLM-based workflows, and delivering reliable, explainable solutions that operate in real institutional
contexts.
This is a hands-on role with high ownership and accountability. You will help define how we
build AI - its system patterns, technical standards, and delivery philosophy- while working
closely with the founder to move solutions from concept to production.
Key Responsibilities
• Design and build end-to-end AI systems using applied ML and LLMs
• Translate ambiguous problem statements into clear system architectures
• Implement agentic workflows including task orchestration, tool use, and memory
• Build scoring, ranking, and decision logic that is auditable and explainable
• Integrate structured and unstructured data (documents, text, transcripts, logs)
• Deliver client-ready outputs such as dashboards, reports, and structured insights
• Iterate rapidly based on feedback while maintaining system reliability
• Collaborate closely with the founder on technical and architectural decisions
What This Role Is Not:
• A research or academic ML role
• A narrow data engineering position
• A pure backend or infrastructure role
• A role focused only on experimentation or demos
Required Experience & Skills:
• 3–5 years of experience as an AI Engineer, ML Engineer, or Applied ML Developer
• Strong proficiency in Python and building data-driven systems
• Hands-on experience with LLMs, embeddings, and RAG-based pipelines
• Experience combining rules, heuristics, ML models, and LLM outputs
• Ability to work with incomplete data and evolving requirements
• Strong problem-solving skills and clear technical communication
Good to Have:
• Experience building AI systems for enterprises or regulated environments
• Familiarity with agent frameworks or workflow orchestration tools
• Experience with dashboards, reporting layers, or insight delivery systems
• Startup or early-stage product experience
Why Join us:
• Be part of the founding technical core of the company
• Build AI systems used by real decision-makers, not internal demos
• Build architecture, standards, and engineering culture
• Work directly with the founder on high-impact systems
• Clear growth path into Lead AI Engineer as we scale
What We Value:
• Ownership over titles
• Speed with judgment
• Practical systems over theoretical elegance
• Responsibility, clarity, and execution
If you enjoy building AI systems that actually get deployed and used, this is the place
Apply for this Position
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