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successfactors

Principal Engineer

Wissen Technology
Bengaluru, IND
Senior · 5–8 years experience
Onsite
Discovered 1 weeks ago
awsbedrockneo4jopenaiopentelemetrypython

Full Job Posting

Required qualifications

  • 5–8 years of professional software engineering with strong, current Python.
  • Hands-on experience building LLM/GenAI features — RAG, prompt engineering, and agent/tool-use (function calling).
  • Familiarity with at least one agent framework (Strands Agents, LangGraph, LlamaIndex, AutoGen, CrewAI, or equivalent) and one LLM platform (Bedrock, OpenAI, Anthropic, Vertex).
  • Solid software fundamentals: data structures, API design, testing, version control, and CI/CD.
  • Comfort deploying and running services on AWS (or a comparable cloud).
  • A quality mindset — you test, measure, and reason about LLM correctness rather than eyeballing outputs. Preferred / nice-to-have
  • Vector databases (pgvector, Pinecone, Weaviate, Qdrant, Chroma) and retrieval tuning.
  • Neo4j / knowledge graphs and GraphRAG.
  • Evaluation frameworks (RAGAS, DeepEval, promptfoo, or the Strands Evals SDK) and LLM-as-judge patterns.
  • Observability for LLM apps (Langfuse, LangSmith, OpenTelemetry/ADOT).
  • Exposure to a regulated or human-in-the-loop domain (pharma, healthcare, finance). Competencies Cloud Computing COMMUNICATION SKILLS JOB KNOWLEDGE Key Skills Python, Generative AI, LLMs, RAG, Prompt Engineering, Agentic AI, AWS Bedrock, Strands Agents, API Integration, Argus Integration, Veeva Vault, Vector Databases, Knowledge Graphs, GraphRAG, Langfuse, OpenTelemetry, Automated Testing, CI/CD. Soft Skills Strong analytical and problem-solving abilities. Excellent verbal and written communication. Collaboration and teamwork. Attention to detail and commitment to quality. Adaptability and willingness to learn emerging technologies. Ownership, accountability, and a proactive approach to resolving issues. Ability to communicate technical concepts clearly to business and technical stakeholders. Qualification Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field, with 5–8 years of relevant professional software engineering experience. Certifications

Preferred Qualifications

  • A quality mindset — you test, measure, and reason about LLM correctness rather than eyeballing outputs. Preferred / nice-to-have

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