Artificial Intelligence Engineer

-About the Role

As an AI Specialist at BGO, you will work hands-on across the AI stack building LLM-powered applications, agentic workflows, RAG pipelines, fine-tuned models, and Human-in-the-Loop (HITL) systems that go into production for both BGOs internal operations and our enterprise clients. You will work closely with senior and principal engineers, product managers, and domain experts to take problems from ambiguous idea to shipped product in days to weeks, not months. You should be comfortable writing production code, prototyping against frontier models, wiring AI into real operational workflows, and iterating rapidly based on feedback from real users. You do not need to be the deepest researcher in the room but you do need strong engineering fundamentals, genuine fluency in how modern agentic systems are built, and a strong bias toward shipping.

Key Responsibilities

Hands-On Engineering:

• Build and ship LLM-powered features, agentic workflows, and AI-native product components end-to-end from prompt design and retrieval through APIs, UI integration, and production deployment
• Implement agentic patterns where they add real value tool use, multi-step execution, planning, and Human-in-the-Loop checkpoints with attention to reliability, safety, and clear failure modes
• Build and operate RAG systems, vector search, hybrid retrieval, and reranking pipelines over BGO and client data

AI Products & Client Workflows:

• Contribute to BGOs AI-native products and platform surfaces Personal AI Partner, Agentic Workflows (QBRs, drafts, follow-ups), Real-time Ops AI, and Client-Facing AI
• Partner with forward-deployed engineers and domain experts to customize and deploy AI solutions inside client environments; take client feedback back into the core platform

Basic Qualifications

• Bachelors degree in Computer Science, Engineering, Mathematics, or related technical field (or equivalent practical experience)

• 3-5 years of professional software engineering experience, with at least 12 years shipping AI / ML / LLM features in production

• Strong Python engineering skills; comfort building APIs, services, and data pipelines (REST/gRPC, common cloud primitives)

• Demonstrated experience building LLM-powered applications with real production constraints — latency, cost, reliability, and security

• Practical, hands-on experience with the modern AI stack: prompt engineering, RAG, vector databases, agent orchestration frameworks (LangChain, LangGraph, Claude Agent SDK, or equivalents), and basic evaluation techniques

• Experience deploying AI systems on at least one major cloud provider (AWS, GCP, or Azure) with working knowledge of CI/CD, containers, and observability.

Addition Mandate Requirements:

-Open to work in US shift (India Night Shift)

-Open and flexible in regards to meeting timelines for the delivery

-Go-getter and someone who is willing to take ownership and accountability