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.
Builds the core intelligence powering the Agent Runtime and Orchestration layers. Designs, develops, and optimizes autonomous and semi-autonomous agents using Bedrock, LangChain/LangGraph, vector search, and structured tool-calling.
Key Responsibilities
- Build single and multi-agent systems using LangChain/LangGraph with Bedrock.
- Implement RAG pipelines including chunking, embedding, metadata, retrieval tuning, and query rewriting.
- Create agent tools such as APIs, SQL queries, and ETL triggers.
- Integrate vector databases: OpenSearch, pgvector, Pinecone, Qdrant, DynamoDB vector index.
- Implement prompt design and evaluation sets.
- Integrate Bedrock APIs, guardrails, and VPC endpoint access.
Education
- Minimum Required – Bachelor's in Computer Science, Software Engineering
- Preferred – Advanced coursework or certification in NLP, ML, or AI frameworks
Skills Required
- 4+ years of hands-on experience to build production-grade LLM agents, RAG systems, LangChain/LangGraph pipeline
- Strong Python and LangChain/LangGraph engineering.
- Production experience with LLM agents and tool calling.
- Deep RAG experience.
- Familiarity with multiple vector databases.
- Strong reasoning-pattern competency.
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:
