Engineering Manager

Arintra is looking for an Engineering Manager (Gen AI / NLP) to lead a team building AI-powered healthcare automation solutions. The role involves team leadership, technical strategy, and delivery of scalable Gen AI systems used in production healthcare environments.

The core responsibilities for the job include the following:

Team Leadership and People Management:

• Lead and manage a team of 6-10 Gen AI / NLP engineers.
• Foster a high-performance and collaborative engineering culture.
• Conduct performance reviews, mentorship, and career development planning.
• Hire and onboard top Gen AI talent.
• Create structured growth paths for engineers.
• Encourage knowledge sharing and continuous learning within the team.

Technical Strategy and Architecture:

• Define the technical roadmap from prompt-based systems to RAG and AI agents.
• Drive architecture decisions for scalable and cost-efficient Gen AI systems.
• Oversee model evaluation, selection, and deployment strategies.
• Maintain code quality standards and technical debt management.
• Lead design reviews and architecture discussions.
• Stay updated with the latest Gen AI research and integrate innovations into the product.

Product and Project Delivery:

• Collaborate with Product, Clinical, and Business teams to build AI-driven solutions.
• Manage project timelines, resource allocation, and delivery commitments.
• Ensure smooth integration of AI capabilities across systems.
• Drive experimentation, A/B testing, and data-driven improvements.
• Ensure compliance with healthcare regulations (HIPAA) and coding standards like ICD-10 and CPT.

Operational Excellence and Cost Optimization:

• Implement monitoring, observability, and SLA management for Gen AI systems.
• Optimize LLM usage costs, infrastructure, and data processing.
• Establish MLOps best practices, including model versioning and deployment pipelines.
• Ensure system reliability, scalability, and performance.
• Lead incident response and post-mortem analysis.

Strategic Planning:

• Partner with leadership to define Gen AI strategy and product roadmap.
• Evaluate build vs. buy decisions for AI tools and technologies.
• Drive innovation initiatives and proof-of-concepts.
• Represent engineering in executive-level AI discussions.

The core requirements for the job include the following:

Leadership and Management:

• 3+ years of engineering management experience, preferably with AI/ML teams.
• Experience managing 5-10 engineers.
• Proven ability to hire, mentor, and scale teams.
• Strong communication and stakeholder management skills.
• Experience managing remote or hybrid teams.

Gen AI and Technical Expertise:

• 3+ years of hands-on experience with Deep Learning, LLMs, and Gen AI applications.
• Strong understanding of RAG architectures, vector databases, and AI agents.
• Experience with production Gen AI systems.
• Knowledge of model evaluation, fine-tuning, and prompt engineering.
• Understanding of LLM MLOps and model lifecycle management.

Healthcare and Compliance (Preferred):

• Experience working with healthcare technology or medical data.
• Understanding of HIPAA and healthcare regulatory requirements.
• Knowledge of medical coding standards (ICD-10 CPT, SNOMED-CT) is a plus.
• Experience in regulated industries.

Technical Background:

• Strong software engineering experience with Python.
• Experience with cloud platforms (AWS / Azure / GCP).
• Knowledge of distributed systems, microservices, and API architecture.
• Experience with data pipelines, ETL systems, and real-time processing.
• Familiarity with CI/CD, testing frameworks, and agile development.

Business and Strategic Skills:

• Ability to translate business problems into technical solutions.
• Experience with AI infrastructure cost management.
• Strong communication with non-technical stakeholders.
• Experience in fast-paced startup environments.