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Visionet Systems
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GENAI Incubation - GenAI Solution & Engineering (FDE)

GENAI Incubation - GenAI Solution & Engineering (FDE)

Visionet Systems

4 - 10 years

6 - 9 Lacs

Bengaluru

Posted:3 weeks ago| Platform:

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Skills Required

Stakeholder Engagement Product engineering orchestration Memory management data security GCP Agile Deployment Open source Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role Overview:
We are looking for dynamic GenAI Solutions & Engineering SME to join our GenAI Incubation Team. This is a forward-deployed, full-stack AI role for someone who thrives at the intersection of business impact and deep technical execution. You will partner directly with clients, business stakeholders, and product teams to identify high-value use cases, architect scalable Generative AI solutions, and drive them from ideation to MVP to production.

Required Skills & Experience:
4-10 years of total experience in AI/ML, with 2+ years in Generative AI solutioning Proven expertise in architecting and building GenAI apps, copilots, or agent-based systems Strong expertise in LLM stack (prompting, model selection, evaluation, fine-tuning, Deployment) Proficient in Python and libraries/frameworks like LangChain, LlamaIndex, FastAPI Strong knowledge of GenAI patterns: prompt engineering, RAG, summarization, code generation, AI Agents etc. Hands-on expertise with cloud platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI, NVIDIA) Deep understanding of vector DBs, LLM orchestration, memory management, and API integration Hands-on experience of building Ai Agents & Agentic AI solutions with industry leading frameworks & protocols like MCP,A2A Good knowledge of Responsible AI, explainability, data security, and model auditability Excellent communication skills and stakeholder engagement capabilities Ability to operate in an agile, fast-paced, and ambiguous innovation environment

Key Responsibilities:
Partner with business and client teams to discover, assess, and prioritize GenAI use cases Conduct discovery workshops to identify pain points and translate them into solution architectures Architect and implement full-stack GenAI solutions, including PoCs, MVPs, and reusable frameworks Define success metrics, RoI potential, and feasibility assessments Design prompt strategies, context orchestration logic, and agent workflows Evaluate, fine-tune, and integrate foundation models (OpenAI, Claude, Llama 3, Cohere, etc.) Develop RAG pipelines using vector databases (e.g., Pinecone, Chroma, Redis) Ensure performance, observability, security, and Responsible AI compliance in all solutions Collaborate with cloud, data, and product teams to transition prototypes into scalable deployments Provide hands-on guidance to engineers on LLMOps, secure deployment, and best practices Stay ahead of industry innovation model updates, toolkits (LangChain, LangGraph, Autogen etc), open-source trends, Evaluation frameworks etc.

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GENAI Incubation - GenAI Solution & Engineering (FDE)