Senzcraft
Website:
senzcraft.com
Job details:
About the job
About Senzcraft:
Founded by IIM Bangalore and IEST Shibpur Alumni, Senzcraft is a hyper-automation company. Senzcraft vision is to Radically Simplify Today's Work. And Design Business Process for the Future. Using intelligent process automation technologies.
We have a suite of SaaS products and services, partnering with automation product companies.
Please visit our website - https://www.senzcraft.com for more details
- Our AI Operations SaaS platform – https://MagicOps.ai
- Senzcraft on linkedin -> https://www.linkedin.com/company/senzcraft
Senzcraft is awarded by Analytics India Magazine in it’s report “State of AI in India” as a “Niche AI startup”. Senzcraft is also recognized by NY based SSON as a top hyper-automation solutions provider.
Job Description
About the Role:
Senzcraft is seeking an experienced Gen AI Technical Lead to lead the design, development, and deployment of AI systems that harness Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multimodal AI. The ideal candidate will balance hands-on development with solution architecture responsibility—translating business problems into scalable, production-ready GenAI solutions.
Key Responsibilities:
• Architect and implement RAG pipelines, agentic AI systems, and LLM-driven applications for enterprise use cases.
• Design and integrate prompt engineering, context management, and knowledge-grounding frameworks to optimize LLM performance.
• Collaborate with data, ML, and software engineering teams to build production-grade GenAI microservices and APIs.
• Evaluate and integrate open-source and proprietary LLMs (e.g., OpenAI, Anthropic, Mistral, Llama, Gemini).
• Design data pipelines for unstructured/structured content ingestion, indexing, and vector retrieval using Milvus, PostgreSQL (pgvector), or similar technologies.
• Define and enforce architecture standards, governance, and best practices for scalable GenAI platforms.
• Conduct PoCs, benchmark model performance, and lead solution transitions from prototype to production.
• Contribute to AI strategy, model lifecycle management, and cost optimization initiatives.
Required Skills and Qualifications:
• Bachelor’s/Master’s degree in Computer Science, AI, Data Engineering, or related field.
• 5–10 years of total experience, with at least 3+ years in AI/ML or NLP systems design.
• Proven experience implementing LLM-based solutions, RAG architectures, and prompt orchestration frameworks.
• Strong Python programming skills and familiarity with frameworks like LangChain, LangGraph, LlamaIndex, or Transformers.
• Hands-on knowledge of vector databases (Milvus, Pinecone, Weaviate, Chroma) and knowledge graph systems (Neo4j, RDF).
• Experience deploying and managing AI workloads on cloud platforms (GCP, Azure, AWS).
• Understanding of MLOps/GenAIOps, model evaluation, and observability practices.
• Strong problem-solving, communication, and stakeholder management capabilities.
Preferred Skills
• Experience with multimodal LLMs, agentic reasoning, and tool-using AI agents.
• Exposure to pharma/life sciences or regulated enterprise domains.
• Contribution to open-source AI frameworks or internal AI accelerators.
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