Senior Engineering Manager

Angel and Genie; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

Angel and Genie is seeking a Software Engineer in Bengaluru with over 12 years of experience, including managing teams and shipping complex systems. Strong architectural knowledge in AI/ML and data analytics is required.

The ideal candidate will demonstrate excellent communication skills and experience in leading through change, with a background in healthcare IT preferred.

Qualifications

• 12+ years of progressive software engineering experience.
• 3 years managing multiple teams simultaneously.
• Experience with AI/ML systems and/or Agentic AI frameworks.

Skills

Software engineering experience

AI/ML systems architecture

Cloud provider proficiency (AWS/Azure/GCP)

Data analytics platforms

Excellent communication skills

Education

BS/MS in Computer Science or related field

Job description

Required Qualifications

• 12+ years of progressive software engineering experience, with at least 3 years managing multiple teams simultaneously.
• Demonstrated track record of shipping complex, distributed systems in a fast-paced product environment.
• Hands-on or deep architectural exposure to AI/ML systems and/or Agentic AI frameworks (LangChain, AutoGen, CrewAI, or equivalent).
• Experience with data analytics platforms, data warehousing, and BI tooling (e.g., dbt, Snowflake, Spark, Databricks, Looker, or similar).
• Strong proficiency in at least one major cloud provider (AWS, Azure, or GCP) and familiarity with DevOps/MLOps practices - CI/CD pipelines, containerization (Docker/Kubernetes), and infrastructure-as-code (Terraform or equivalent).
• Excellent communication skills - able to influence at all levels from IC engineer to C-suite executives.
• Experience leading through ambiguity, organizational change, and rapid growth.

Preferred Qualifications

• Experience in Healthcare IT, Digital Health, or Life Sciences - including familiarity with HIPAA, HITECH, and interoperability standards (HL7, FHIR, SMART on FHIR).
• Background in system integration - EHR/EMR integrations, API gateways, EDI, or enterprise middleware (e.g., MuleSoft, Azure API Management, AWS API Gateway).
• Experience building or scaling AI-driven clinical decision support, NLP pipelines, or predictive analytics products.
• Exposure to regulatory compliance frameworks relevant to healthcare software (FDA SaMD, SOC 2, ISO 27001).
• An engineering background (BS/MS in CS, CE, or related field preferred, but not required with equivalent experience).