Role overview
**We have a Fulltime/Contract position for a AI Engineer – Agentic & RAG Systems with a Consulting Firm.**
This will be a 100% Remote opportunity
Interview will happen immediately:
Below is the short summary of the role, please reach out to me on hkumar@prodwaresol.com with your updated resume:
Looking for someone with 12+ years of experience:
**Job Title: AI Engineer – Agentic & RAG Systems**
**Location:**
Remote
**Department:**
AI & Data Platforms
**About the Role**
As an
**AI Engineer**
, you will design, build, and operate
**agentic AI systems end-to-end**
—from concept to production. You’ll work on multi-agent orchestration, Retrieval-Augmented Generation (RAG), evaluation frameworks, and AI guardrails to build safe, reliable, and high-performing systems.
You will collaborate cross-functionally with product, ML, and design teams—bringing ideas to life through strong engineering execution, clear communication, and a low-ego, problem-solving mindset.
**RAG Development & Optimization**
* Design and implement
**Retrieval-Augmented Generation pipelines**
to ground LLMs in enterprise or domain-specific data.
* Make strategic decisions on
**chunking strategy**
,
**embedding models**
, and
**retrieval mechanisms**
to balance context precision, recall, and latency.
* Work with
**vector databases**
(Qdrant, Weaviate, pgvector, Pinecone) and
**embedding frameworks**
(OpenAI, Hugging Face, Instructor, etc.).
* Diagnose and iterate on challenges like
**chunk size trade-offs**
,
**retrieval quality**
,
**context window limits**
, and
**grounding accuracy**
—using structured evaluation and metrics
**Minimum Qualifications**
* Strong proficiency in
**Python**
(FastAPI, Flask, asyncio) and GCP experience is good to have
* Demonstrated
**hands-on RAG implementation experience**
with specific tools, models, and evaluation metrics.
* Practical knowledge of
**agentic frameworks**
(LangGraph, LangChain) and
**evaluation ecosystems**
(LangFuse, LangSmith).
* Excellent
**communication skills**
, proven ability to
**collaborate cross-functionally**
, and a
**low-ego, ownership-driven**
work style.