AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.
At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.
We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.
We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.
The AI Engineer builds production-grade AI capabilities that augment our internal products and data platforms. You’ll deliver vector pipelines, RAG services, and agentic automations using Python, FastAPI, and cloud-native infrastructure, integrating with Snowflake and PostgreSQL where appropriate.
Key Responsibilities
Implement vectorization pipelines and Retrieval-Augmented Generation (RAG) endpoints; integrate PGVector or equivalent.
Build AI microservices with Python, FastAPI, Pydantic, and SQLAlchemy /SQLModel; define robust REST APIs.
Apply Model Context Protocol (MCP) and agentic frameworks (LangGraph, CrewAI, Autogen) where suitable.
Establish CI/CD with GitHub Actions; deploy via Helm on Kubernetes in Azure or AWS.
Integrate with Snowflake and PostgreSQL; implement robust data access, caching, and observability.
Implement unit tests and evaluation harnesses; contribute to offline/inline model evaluation.
Collaborate with stakeholders to frame problems, validate POCs, and harden solutions for production.
Explore fine-tuning opportunities when beneficial; document findings and productionize successful approaches.
Education and Experience
Minimum Required – Bachelor's in CS, Data/AI, or equivalent experience.
3+ years building AI/ML or data-intensive services in production.
Skills Required
Strong Python engineering with FastAPI and async programming.
Hands-on with vector databases and PGVector; RAG patterns and embedding pipelines.
Familiarity with MCP and agentic frameworks; prompt/tool orchestration fundamentals.
Cloud-native development with GitHub Actions, Helm, Kubernetes; Azure or AWS experience.
Proficiency with SQL, PostgreSQL, and Snowflake; ORM-first application development.
Understanding of OOP, unit testing, and CI quality gates; TDD/BDD exposure is a plus.
Awareness of responsible AI, security, and data governance considerations.
Why AHEAD:
Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.
We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.
India Employment Benefits include:
