Posted 29 May, 2026
Python Developer
NR Consulting
Bengaluru,Karnataka
Full Time
Reference: 365_463738_26-01061
Title: Python Developer
Location: Bengaluru
Exp: Minimum 7.5 year(s) of experience
Job Description:
Roles & Responsibilities:
- Translate business requirements into solution blueprints (LLM selection, RAG architecture, data contracts, API design).
- Own non functional targets (latency, scalability, cost, resilience) and guide performance engineering.
- Establish coding standards for Python/TypeScript; enforce test coverage, secure practices, and review discipline.
- Design RAG pipelines at scale: ingestion jobs, metadata schema, hybrid search (embeddings), re ranking.
- Decide cloud service mix and deployment topology across AWS/Azure/GCP; optimize token/cost with caching, response shaping, batching.
- Integrate observability (logs, traces, metrics), evaluation (hallucination/toxicity/bias), and responsible AI controls.
- Plan and run CI/CD & MLOps (model/config versioning, feature flags, canary/blue green).
- Mentor engineers; unblock delivery; collaborate with architects, product, and security.
Professional & Technical Skills:
- Deep hands on Python + system design for microservices/REST/graphql; front end in React/Angular.
- Proven LLM & RAG solutioning: retrieval strategies, grounding sources, prompt/tool orchestration, guardrails.
- Cloud design patterns:
- AWS: Bedrock, Lambda/Step Functions, SageMaker endpoints, Kendra/OpenSearch, CloudWatch.
- Azure: OpenAI, Functions/AKS, Cosmos DB, Azure AI Search, Monitor/Log Analytics.
- GCP: Vertex AI, Cloud Run, BigQuery, AlloyDB, Vertex Search/RAG.
- Security & compliance: OAuth2/OIDC, secret rotation, data residency, PII handling, prompt security.
- Performance & cost engineering for LLMs (token budgets, context packing, streaming).
Location: Bengaluru
Exp: Minimum 7.5 year(s) of experience
Job Description:
Roles & Responsibilities:
- Translate business requirements into solution blueprints (LLM selection, RAG architecture, data contracts, API design).
- Own non functional targets (latency, scalability, cost, resilience) and guide performance engineering.
- Establish coding standards for Python/TypeScript; enforce test coverage, secure practices, and review discipline.
- Design RAG pipelines at scale: ingestion jobs, metadata schema, hybrid search (embeddings), re ranking.
- Decide cloud service mix and deployment topology across AWS/Azure/GCP; optimize token/cost with caching, response shaping, batching.
- Integrate observability (logs, traces, metrics), evaluation (hallucination/toxicity/bias), and responsible AI controls.
- Plan and run CI/CD & MLOps (model/config versioning, feature flags, canary/blue green).
- Mentor engineers; unblock delivery; collaborate with architects, product, and security.
Professional & Technical Skills:
- Deep hands on Python + system design for microservices/REST/graphql; front end in React/Angular.
- Proven LLM & RAG solutioning: retrieval strategies, grounding sources, prompt/tool orchestration, guardrails.
- Cloud design patterns:
- AWS: Bedrock, Lambda/Step Functions, SageMaker endpoints, Kendra/OpenSearch, CloudWatch.
- Azure: OpenAI, Functions/AKS, Cosmos DB, Azure AI Search, Monitor/Log Analytics.
- GCP: Vertex AI, Cloud Run, BigQuery, AlloyDB, Vertex Search/RAG.
- Security & compliance: OAuth2/OIDC, secret rotation, data residency, PII handling, prompt security.
- Performance & cost engineering for LLMs (token budgets, context packing, streaming).
