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VySystems · Hyderabad, Telangana, India

GENAI Engineer

mid_levelfull timePosted 2 days ago
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Stack mentioned

generative-airagprompt-engineeringvector-databasesllmopenaiazurecopilotdatabrickspythongitagentic-ai

Position: Senior GenAI Technical Lead

Location: Kochi & Hyderabad

Job Description

We are looking for an experienced Senior GenAI Technical Lead with strong hands-on expertise in designing and delivering production-grade Generative AI solutions. The ideal candidate should have deep experience in RAG architecture, AI evaluation, prompt engineering, enterprise AI platforms, and technical leadership.

Key Responsibilities

- Lead the technical solution approach for client-facing and cross-organisational GenAI engagements.

- Design and deliver production/pilot-grade Generative AI solutions with a strong focus on scalability, reliability, and quality.

- Architect and optimize document-scale RAG solutions, including chunking, indexing, embeddings, retrieval tuning, reranking, grounding, and source attribution.

- Analyze and troubleshoot retrieval failures and improve overall response quality.

- Design and operate AI evaluation frameworks using golden datasets, rubric-based scoring, LLM-as-a-Judge, human review loops, and regression testing.

- Develop advanced prompt strategies including system/task prompts, few-shot patterns, templates, context management, task decomposition, chaining, and structured outputs.

- Configure and extend existing AI-enabled enterprise applications using their established extension models.

- Work hands-on with enterprise AI platforms such as OpenAI, Azure OpenAI, GitHub Copilot, Databricks, or equivalent technologies.

- Identify and address GenAI failure modes including hallucinations, non-determinism, prompt drift, context loss, and silent quality degradation.

- Establish engineering practices for maintaining AI solution quality, traceability, and reliability.

- Collaborate with senior stakeholders across the US and Europe and communicate technical decisions clearly.

- Independently own technical outcomes while working in an agile and iterative environment.

Mandatory Skills

- 10+ years of experience in Software, Data, or AI Engineering.

- Minimum 4+ years of hands-on experience delivering production/pilot-grade GenAI solutions.

- Proven experience as a Technical Lead / AI Technical Lead / AI Architect in a client-facing or cross-organisational engagement.

- Strong hands-on experience with RAG architecture and document-scale retrieval systems.

- Strong understanding of:

- Chunking and indexing strategies

- Embeddings

- Retrieval optimization

- Reranking

- Grounding

- Citation/source attribution

- Experience designing GenAI evaluation frameworks and regression processes.

- Strong prompt engineering expertise.

- Hands-on experience with Python or equivalent programming languages.

- Experience with OpenAI / Azure OpenAI / Databricks / GitHub Copilot or comparable enterprise AI platforms.

- Strong understanding of GenAI failure modes and mitigation techniques.

- Strong Git and software engineering practices.

- Excellent written and verbal communication skills.

- Ability to independently drive technical decisions and challenge solutions constructively.

Preferred Qualifications

- Experience with AI-assisted long-form document authoring, structured content authoring, or evidence synthesis.

- Prior experience in Life Sciences / Pharmaceutical / Biotechnology domains.

- Experience in medical writing, regulatory authoring, HEOR, or market access.

- Knowledge of Agentic AI, Knowledge Graphs, and multi-step reasoning architectures.

- Exposure to regulated or GxP-adjacent environments.

- Experience integrating GenAI solutions with SharePoint, Document Management Systems, Smartsheet, Power Automate, or UiPath.

- Experience defining AI engineering standards and practices for a team.

- Exposure to model fine-tuning, distillation, or evaluation-harness tooling.

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