bitsIO Inc.
Website:
bitsioinc.com
Job details:
Company: bitsIO
Location: Remote, India
Shift: US Overlap (Available until mid-day CST)
Department: AI & Forward Deployment
About bitsiO & The Role
At bitsIO, we are accelerating the adoption of enterprise AI. We don't just build theoretical
models; we deploy production-ready AI ecosystems that solve complex, real-world
operational challenges for our US-based clients.
We are looking for a highly capable Forward Deployed Engineer (FDE) based in India to
serve as the technical bridge between our core AI infrastructure and our US operations. In
this role, you will act as a hybrid software engineer, AI architect, and client-facing technical
lead. You will build custom AI Agents, design complex RAG workflows, scale these solutions
for enterprise use, and lead live technical demos for our US customers. You will be building domain specific agents for Health care and Fintech etc.
Working Hours Requirement: Because this role heavily supports US operations and
involves live customer demos, you must be available for overlapping hours until at least
mid-day (12:00 PM) US Central Standard Time (CST).
Key Responsibilities
Custom Agent Development: Design, build, and deploy custom, multi-step AI agents
using Anthropic’s Claude, tailored specifically to US client workflows and operational
bottlenecks.
RAG Pipeline Architecture: Build and optimize complex Retrieval-Augmented
Generation (RAG) pipelines. Connect client data sources (documents, databases, APIs)
to AI models ensuring high accuracy, low hallucination, and secure data handling.
Live Client Demos & Prototyping: Partner with our US operations and sales teams to
deliver compelling, highly technical product demonstrations. Translate ambiguous
client requirements into rapid AI prototypes.
Scaling & Productionization: Take AI agents from the proof-of-concept phase into
highly scalable, production-ready applications. Monitor agent performance, manage API
rate limits, and optimize latency.
Cross-Border Collaboration: Work asynchronously and synchronously with the US
core engineering and product teams to push field learnings and common client requests
back into bitsIO’s core product roadmap.
Required Skills & Experience
Advanced Python Proficiency: Deep, hands-on experience writing clean, scalable, and
production-ready Python code.
AI & LLM Mastery: Extensive experience working with Large Language Models,
particularly Anthropic's Claude. Strong understanding of prompt engineering, function
calling/tool use, and context window management.
RAG Expertise: Proven ability to build sophisticated RAG systems. Familiarity with
vector databases (Pinecone, Weaviate, Qdrant, etc.), embedding models, chunking
strategies, and hybrid search.
Agentic Frameworks: Hands-on experience building autonomous or semi-autonomous
AI agents (experience with LangChain, LlamaIndex, AutoGen, CrewAI, or raw API
orchestration).
Client-Facing Communication: Exceptional verbal and written English skills. Ability to
explain complex AI concepts to non-technical stakeholders and confidently run live
software demos.
Cloud & Scaling: Familiarity with deploying AI applications on cloud infrastructure
(AWS/GCP/Azure) and handling the unique challenges of scaling generative AI (caching,
fallback logic, queueing).
Click on Apply to know more.
