AI / ML Engineering Lead

AI / ML Engineering Lead

About DataAlchemy.ai

DataAlchemy.ai delivers practical, secure, and transformational AI solutions that make complex technology simple, trusted, and effective for organizations across industries. We provide a full spectrum of end-to-end services—AI strategy and phased roadmaps, digital transformation consulting, high-quality data labeling and annotation, LLM model training, advanced data engineering, and scalable deployment using MLOps best practices.

Our team partners with clients to reimagine processes, embed AI across the enterprise, and unlock new growth opportunities, always ensuring ethical, compliant, and measurable business impact. With a combination of custom generative AI / ML solutions, governance frameworks, and turnkey agentic applications, DataAlchemy.ai equips businesses to scale, automate decision-making, and prioritize projects with tangible ROI.

Role Overview

DataAlchemy.ai is seeking a technical team lead to guide the development and deployment of advanced agentic AI solutions for both our client-facing projects and internal product platforms. The role blends technical leadership, hands-on engineering, client interaction, and platform architecture. You will own delivery for external consulting projects and help define the evolution of DataAlchemy.ai’s core agent frameworks.

Key Responsibilities

Lead design and implementation of advanced agentic AI architectures for enterprise clients and DataAlchemy.ai’s core platforms, including planning, memory, retrieval, and autonomous execution modules.

Architect robust end-to-end AI pipelines : data collection, pre-processing, model development, fine-tuning, and deployment for client solutions and internal products.

Collaborate with enterprise clients to elicit requirements, define solution strategies, and provide technical leadership throughout project lifecycles.

Manage and mentor a distributed engineering team (ML, data science, MLOps) across time zones to ensure high-quality delivery and innovation.

Own technical quality, performance, and scalability for both custom client implementations and DataAlchemy.ai’s proprietary agentic platforms.

Stay current with the latest advances in LLMs, agent orchestration, retrieval-augmented generation, and adaptive reasoning systems; proactively integrate promising techniques.

Contribute to pre-sales, solution demos, proof-of-concept implementations, and technical documentation for stakeholders and users.

Drive code quality and automation—own CI / CD pipelines, infrastructure, code reviews, technical documentation, and reproducibility.

Qualifications

Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field.

6+ years of hands-on experience building and deploying AI / ML solutions in applied, consulting, or product environments.

Track record of delivering LLM-based systems, multi-agent architectures, and agentic AI applications (Python, PyTorch, TensorFlow, LangChain, or similar frameworks).

Experience managing distributed engineering teams, including onboarding, mentoring, and agile execution.

Strong communication skills for client engagement, technical presentations, and cross-team collaboration.

Familiarity with retail, logistics, or enterprise analytics a plus; keen interest in building scalable automation platforms.

What You’ll Get

Technical ownership of both enterprise AI consulting projects and the evolution of core agentic platforms.

Flexible, remote-first work structure—collaborate globally on impactful solutions.

Fast-paced, outcome-driven culture and opportunities to grow with the company.

Competitive compensation and outcome-based incentives.