Required Skills

- Agentic Development/ Observability: Hands on experience with tools such as LangSmith/

Langfuse/Data Dog. Building Multi-agent services. Exposure to monitoring and tracing multi-

agent/LLM workflows concepts, tool-call tracing, latency/cost/drift monitoring, Smart LLM routing, Cost Optimization and Multi-Cloud Decisioning (AWS/GCP, etc)

- Agentic Governance: guardrails and safety controls for autonomous agents, human-in-the-

loop design, audit logging, and responsible AI/compliance frameworks.

- Data Strategy: experience contributing to or advising on enterprise data strategy, data architecture roadmaps, and data-driven decision-making frameworks.
- Dev Data Platforms: data pipeline design, and data engineering fundamentals is mandatory.

Hands-on experience with contemporary data platform tooling (e.g., Databricks, Snowflake, or similar lakehouse/warehouse platforms) is a plus.

- DevOps: Exposure to CI/CD pipeline design (e.g., Jenkins, GitHub Actions, Azure DevOps),

infrastructure as code (Terraform or equivalent), and automated testing/release practices.

Core GenAI Engineering Skills





- Strong programming skills in Python (or similar) for building GenAI applications.
- Experience with LLM application frameworks such as LangChain, LangGraph, Semantic Kernel,

or AutoGen.

- Experience with RAG architectures, vector databases (e.g., Pinecone, Weaviate, FAISS,

pgvector), and embeddings.

- Familiarity with prompt engineering, fine-tuning/instruction-tuning, and evaluation of LLM outputs.
- Experience integrating with major LLM providers/platforms such as OpenAI, Anthropic, Azure

OpenAI, or AWS Bedrock.

- Understanding of MLOps/LLMOps practices for model deployment and lifecycle management.

Education

Typically requires a Bachelors Degree and minimum of 5 years directly relevant work experience Note: One of the following alternatives may be accepted: PhD or Law + 3 yrs; Masters + 4 yrs; Associates degree + 6 yrs; High School + 7 yrs.

Bachelors Degree and minimum of 5 years directly relevant work experience

📌 Software Engineer - Niche 3 (35) - GenAI Engineer (Bengaluru)
🏢 Mindlance
📍 Bengaluru