[DT] : AI Engineering / Lead (Noida)

[DT] : AI Engineering / Lead (Noida)

02 Oct
|
Software Engineering Firm
|
Noida

02 Oct

Software Engineering Firm

Noida

Job Family: AI Engineering / Lead
Level: Intermediate to Senior / Team Lead (Positioning and scope adapted based on experience)

Experience Guideline: 3–8+ years in software and systems engineering, with solid hands-on enterprise AI delivery and team/delivery leadership experience

Role Overview
As a Forward Deployed AI Engineer, you operate on the frontlines of innovation, bridging the gap between cutting-edge AI capabilities and enterprise production systems. You work directly at the intersection of client problem spaces and AI system architecture—designing, building, deploying, and scaling custom AI solutions (including LLM pipelines, RAG architectures, multi-agent workflows, and fine-tuned models) tailored to client environments.
Depending on experience level, you will either lead end-to-end client deliveries and mentor cross-functional teams (Senior/Team Lead) or drive key technical execution and client integration streams under strategic guidance (Intermediate).

Key Responsibilities : Client Engagement & Solution Delivery




- Partner directly with client engineering and business stakeholders to translate complex requirements into robust technical specifications and AI workflows.
- Architect and deploy production-grade AI solutions—including RAG pipelines, fine-tuned models, vector databases, and agent frameworks—within client cloud or on-premises environments.
- Lead integration efforts to connect AI microservices with existing enterprise infrastructure, legacy data stores, APIs, and business systems.
- (Senior/Team Lead) Act as the primary technical authority and trusted advisor to client executive leadership (CTOs, VPs of Engineering) on AI strategy, security, and ROI.

AI Engineering & System Architecture
- Design data orchestration pipelines, vector search infrastructure (e.g., Pinecone, Qdrant, Milvus, PGVector), and framework integrations (e.g., LangChain, LlamaIndex, Semantic Kernel).
- Optimize model latency, throughput, token usage, and computing cost

📌 [DT] : AI Engineering / Lead (Noida)
🏢 Software Engineering Firm
📍 Noida

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